Authors: Type:

2024

  • S. Tsaneva, D. Dessì, F. Osborne, and M. Sabou, “Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop,” in 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, co-located with The 23rd International Semantic Web Conference, ISWC 2024, 2024.
    [Bibtex] 
    @inproceedings{SciKpaper,
author = {Stefani Tsaneva and Danilo {Dess{\`i}} and Francesco Osborne and Marta Sabou},
title = {Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop},
booktitle = {4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, co-located with The 23rd International Semantic Web Conference, ISWC 2024},
year={2024}
}
  • B. Zhang, V. A. Carriero, K. Schreiberhuber, S. Tsaneva, L. S. González, J. Kim, and J. de Berardinis, “OntoChat: a Framework for Conversational Ontology Engineering using Language Models,” in The Semantic Web: ESWC Satellite Events, 2024, 2024.
    [Bibtex] 
    @inproceedings{OntoChat,
author = {Zhang, Bohui and Carriero, Valentina Anita and Schreiberhuber, Katrin and Tsaneva, Stefani and Gonz{\'a}lez, Luc{\'\i}a S{\'a}nchez and Kim, Jongmo and de Berardinis, Jacopo},
booktitle = {The Semantic Web: ESWC Satellite Events, 2024 },
title = {OntoChat: a Framework for Conversational Ontology Engineering using Language Models},
year = {2024},
}
  • S. Tsaneva, S. Vasic, and M. Sabou, “LLM-driven Ontology Evaluation: Verifying Ontology Restrictions with ChatGPT,” in The Semantic Web: ESWC Satellite Events, 2024, 2024.
    [Bibtex] 
    @inproceedings{TsanevaVasic2024,
author = {Stefani Tsaneva and Stefan Vasic and Marta Sabou},
booktitle = {The Semantic Web: ESWC Satellite Events, 2024 },
title = {LLM-driven Ontology Evaluation: Verifying Ontology Restrictions with ChatGPT},
year = {2024},
}
  • [DOI] G. Steindl, T. Schwarzinger, K. Schreiberhuber, and F. J. Ekaputra, “Towards Semantic Event-handling for building Explainable Cyber-physical Systems,” IEEE Open Journal of the Industrial Electronics Society, pp. 1-18, 2024.
    [Bibtex] 
    @article{10643286,
author={Steindl, Gernot and Schwarzinger, Tobias and Schreiberhuber, Katrin and Ekaputra, Fajar J.},
journal={IEEE Open Journal of the Industrial Electronics Society},
title={Towards Semantic Event-handling for building Explainable Cyber-physical Systems},
year={2024},
volume={},
number={},
pages={1-18},
keywords={Semantics;Computer architecture;Monitoring;Complexity theory;Architecture;Industrial electronics;Cause effect analysis;cyber-physical systems;event detection;semantic web},
doi={10.1109/OJIES.2024.3447001}
}
  • K. Schreiberhuber, “Semantics-enabled System Transparency: Towards User-centered Explanations in Cyber-physical Systems,” ISWC, 2024.
    [Bibtex] 
    @article{Katrin2024,
author = {Schreiberhuber, Katrin},
journal = {ISWC},
title = {Semantics-enabled System Transparency: Towards User-centered Explanations in Cyber-physical Systems},
year = {2024},
}
  • K. Schreiberhuber, F. J. Ekaputra, M. Sabou, D. Hauer, K. Diwold, T. Frühwirth, G. Steindl, and T. Schwarzinger, “Event Explanations in Cyber-Physical Systems – A Causal Exploration Algorithm,” DACH+ Energy Informatics, 2024.
    [Bibtex] 
    @article{KMF2024,
author = {Katrin Schreiberhuber and Fajar J Ekaputra and Marta Sabou and Daniel Hauer and Konrad Diwold and Thomas Frühwirth and Gernot Steindl and Tobias Schwarzinger},
journal = {DACH+ Energy Informatics},
title = {Event Explanations in Cyber-Physical Systems – A Causal Exploration Algorithm},
year = {2024},
}
  • M. Llugiqi, F. J. Ekaputra, and M. Sabou., “Enhancing Machine Learning Predictions through Knowledge Graph Embeddings,” NESY, 2024.
    [Bibtex] 
    @article{MMF2024,
author = {Majlinda Llugiqi and Fajar J Ekaputra and Marta Sabou.},
journal = {NESY},
title = {Enhancing Machine Learning Predictions through Knowledge Graph Embeddings},
year = {2024},
}
  • M. Llugiqi, F. J. Ekaputra, and M. Sabou, “Leveraging Knowledge Graphs for Enhancing Machine Learning-based Heart Disease Prediction,” in AIRoV, 2024.
    [Bibtex] 
    @inproceedings{Llugiqi2024,
abstract = {Implementing machine learning in healthcare, especially for heart disease prediction , is crucial for saving lives through accurate diagnosis. Yet, the effectiveness of these models is constrained by a lack of extensive, annotated datasets, which are crucial for training robust models. Additionally, there is an under-use of existing knowledge graphs (KGs), which contain structured domain knowledge that could improve the performance of models. To address this challenge, our study introduces approaches that integrate KG embeddings with tabular data, with the goal of improving the performance of machine learning algorithms for heart disease prediction. We conduct a comparative analysis of various methodologies to merge tabular data with KGs, focusing on heart disease, and evaluate the performance of two embedding algorithms in augmenting datasets for more accurate machine learning applications. Our methodology, which involves testing embeddings from diverse KGs, has consistently shown improvements in model performance. Specifically , we increased the accuracy of the Feed-Forward Neural Network from 82% to 85% and the F2 score for the K-Nearest Neighbors model from 71% to 80%. This advancement offers a promising direction for leveraging semantic information from KGs for knowledge-enhanced machine learning in healthcare.},
author = {Majlinda Llugiqi and Fajar J Ekaputra and Marta Sabou},
booktitle = {AIRoV},
title = {Leveraging Knowledge Graphs for Enhancing Machine Learning-based Heart Disease Prediction},
url = {https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset},
year = {2024},
}
  • G. B. Herwanto, F. J. Ekaputra, G. Quirchmayr, and M. A. Tjoa, “Towards a Holistic Privacy Requirements Engineering Process: Insights from a Systematic Literature Review,” IEEE Access, 2024.
    [Bibtex] 
    @article{Herwanto2024,
author = {Guntur Budi Herwanto and Fajar J Ekaputra and Gerald Quirchmayr and A Min Tjoa},
journal = {IEEE Access},
title = {Towards a Holistic Privacy Requirements Engineering Process: Insights from a Systematic Literature Review},
year = {2024},
}
  • T. Auge, F. J. Ekaputra, S. Feistel, S. Jürgensmann, M. Klettke, and L. Waltersdorfer, “Challenges of Tracking Provenance in Marine Data,” in International Conference on Marine Data and Information Systems (IMDIS) 2024 (accepted as poster), 2024.
    [Bibtex] 
    @inproceedings{Auge2024,
author = {Tanja Auge and Fajar J Ekaputra and Susanne Feistel and Susanne Jürgensmann and Meike Klettke and Laura Waltersdorfer},
booktitle = {International Conference on Marine Data and Information Systems (IMDIS) 2024 (accepted as poster)},
title = {Challenges of Tracking Provenance in Marine Data},
year = {2024},
}
  • O. Corcho, F. J. Ekaputra, I. Heibi, C. Jonquet, A. Micsik, S. Peroni, and E. Storti, “A maturity model for catalogues of semantic artefacts,” Sci Data, 2024.
    [Bibtex] 
    @article{Corcho2024,
author = {Oscar Corcho and Fajar J Ekaputra and Ivan Heibi and Clement Jonquet and Andras Micsik and Silvio Peroni and Emanuele Storti},
journal = {Sci Data},
title = {A maturity model for catalogues of semantic artefacts},
year = {2024},
}

2023

  • [DOI] E. V. Zoelen, T. Mioch, M. Tajaddini, C. Fleiner, S. Tsaneva, P. Camin, T. S. Gouvêa, K. Baraka, M. D. H. T. Boer, and M. A. Neerincx, “Developing Team Design Patterns for Hybrid Intelligence Systems,” in HHAI 2023: Augmenting Human Intellect, 2023, pp. 3-16.
    [Bibtex] 
    @inproceedings{,
author = {Emma Van Zoelen and Tina Mioch and Mani Tajaddini and Christian Fleiner and Stefani Tsaneva and Pietro Camin and Thiago S. Gouvêa and Kim Baraka and Maaike H. T. De Boer and Mark A. Neerincx},
doi = {10.3233/faia230071},
isbn = {9781643683942},
issn = {09226389},
booktitle = {HHAI 2023: Augmenting Human Intellect},
pages = {3-16},
title = {Developing Team Design Patterns for Hybrid Intelligence Systems},
volume = {0},
year = {2023},
}
  • S. Tsaneva, “Evaluating Knowledge Graphs with Hybrid Intelligence,” in The Semantic Web: ESWC Satellite Events, 2023.
    [Bibtex] 
    @inproceedings{Tsaneva2023,
author = {Stefani Tsaneva},
booktitle = {The Semantic Web: ESWC Satellite Events},
keywords = {computation,crowdsourcing,human,hybrid intelligence,knowledge graph evaluation,semantic web},
publisher = {Springer International Publishing},
title = {Evaluating Knowledge Graphs with Hybrid Intelligence},
year = {2023},
}
  • [DOI] S. Tsaneva and M. Sabou, “Enhancing Human-in-the-Loop Ontology Curation Results through Task Design,” Journal of Data and Information Quality, 2023.
    [Bibtex] 
    @article{Tsaneva2023,
author = {Stefani Tsaneva and Marta Sabou},
doi = {10.1145/3626960},
issn = {1936-1955},
journal = {Journal of Data and Information Quality},
month = {10},
title = {Enhancing Human-in-the-Loop Ontology Curation Results through Task Design},
year = {2023},
}
  • [DOI] N. Tufek, A. S. S. Thuluva, V. P. Just, and M. Sabou, “Towards Extraction of Validation Rules from OPC UA Companion Specifications,” in 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 2023, pp. 1-8.
    [Bibtex] 
    @inproceedings{Tufek2023,
author = {Nilay Tufek and Aparna Sai Sree Thuluva and Valentin Philipp Just and Marta Sabou},
doi = {10.1109/ETFA54631.2023.10275371},
isbn = {979-8-3503-3991-8},
booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)},
month = {9},
pages = {1-8},
publisher = {IEEE},
title = {Towards Extraction of Validation Rules from OPC UA Companion Specifications},
year = {2023},
}
  • G. P. Tchat, A. Anjomshoaa, D. Dobriy, F. J. Ekaputra, E. Kiesling, A. Polleres, and M. Sabou, “From Semantic Web to Wisdom Web: A Retrospective on the Journey to 2043,” in The Semantic Web: 20th International Conference, ESWC, 2023.
    [Bibtex] 
    @inproceedings{Tchat2023,
author = {Gary P Tchat and Amin Anjomshoaa and Daniil Dobriy and Fajar J Ekaputra and Elmar Kiesling and Axel Polleres and Marta Sabou},
booktitle = {The Semantic Web: 20th International Conference, ESWC},
title = {From Semantic Web to Wisdom Web: A Retrospective on the Journey to 2043},
year = {2023},
}
  • [DOI] F. J. Ekaputra, M. Llugiqi, M. Sabou, A. Ekelhart, H. Paulheim, A. Breit, A. Revenko, L. Waltersdorfer, K. E. Farfar, and S. Auer, “Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG,” arXiv preprint arXiv:2303.15113, 2023.
    [Bibtex] 
    @article{Ekaputra2023,
author = {Fajar J Ekaputra and Majlinda Llugiqi and Marta Sabou and Andreas Ekelhart and Heiko Paulheim and Anna Breit and Artem Revenko and Laura Waltersdorfer and Kheir Eddine Farfar and Sören Auer},
doi = {10.48550/arXiv.2303.15113},
journal = {arXiv preprint arXiv:2303.15113},
title = {Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG},
url = {https://arxiv.org/abs/2303.15113},
year = {2023},
}
  • Y. S. Bareedu, T. Frühwirth, C. Niedermeier, M. Sabou, G. Steindl, A. S. Thuluva, S. Tsaneva, and N. T. Ozkaya, “Deriving Semantic Validation Rules from Industrial Standards: an OPC UA Study,” Semantic Web, 2023.
    [Bibtex] 
    @article{Bareedu2023,
author = {Yashoda Saisree Bareedu and Thomas Frühwirth and Christoph Niedermeier and Marta Sabou and Gernot Steindl and Aparna Saisree Thuluva and Stefani Tsaneva and Nilay Tufek Ozkaya},
journal = {Semantic Web},
publisher = {Semantic Web},
title = {Deriving Semantic Validation Rules from Industrial Standards: an OPC UA Study},
url = {https://www.semantic-web-journal.net/system/files/swj3184.pdf},
year = {2023},
}
  • [DOI] A. Breit, L. Waltersdorfer, F. J. Ekaputra, M. Sabou, A. Ekelhart, A. Iana, H. Paulheim, J. Portisch, A. Revenko, A. T. Teije, and F. V. Harmelen, “Combining Machine Learning and Semantic Web: A Systematic Mapping Study,” ACM Computing Surveys, vol. 55, pp. 1-41, 2023.
    [Bibtex] 
    @article{Breit2023,
abstract = {
    In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining Machine Learning components with techniques developed by the Semantic Web community—Semantic Web Machine Learning (SWeML). Due to its rapid growth and impact on several communities in thepast two decades, there is a need to better understand the space of these SWeML Systems, their characteristics, and trends. Yet, surveys that adopt principled and unbiased approaches are missing. To fill this gap, we performed a systematic study and analyzed nearly 500 papers published in the past decade in this area, where we focused on evaluating architectural and application-specific features. Our analysis identified a rapidly growing interest in SWeML Systems, with a high impact on several application domains and tasks. Catalysts for this rapid growth are the increased application of deep learning and knowledge graph technologies. By leveraging the in-depth understanding of this area acquired through this study, a further key contribution of this article is a classification system for SWeML Systems that we publish as ontology.
    },
author = {Anna Breit and Laura Waltersdorfer and Fajar J. Ekaputra and Marta Sabou and Andreas Ekelhart and Andreea Iana and Heiko Paulheim and Jan Portisch and Artem Revenko and Annette Ten Teije and Frank Van Harmelen},
doi = {10.1145/3586163},
issn = {0360-0300},
issue = {14s},
journal = {ACM Computing Surveys},
month = {12},
pages = {1-41},
title = {Combining Machine Learning and Semantic Web: A Systematic Mapping Study},
volume = {55},
year = {2023},
}
  • K. Schreiberhuber, M. Sabou, F. J. Ekaputra, P. Knees, P. R. Aryan, A. Einfalt, and R. Mosshammer, “Causality prediction with neural-symbolic systems: A case study in smart grids,” in 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023.
    [Bibtex] 
    @inproceedings{Schreiberhuber2023,
author = {Katrin Schreiberhuber and Marta Sabou and Fajar J. Ekaputra and Peter Knees and Peb Ruswono Aryan and Alfred Einfalt and Ralf Mosshammer},
booktitle = {17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy)},
title = {Causality prediction with neural-symbolic systems: A case study in smart grids},
year = {2023},
}
  • [DOI] A. Breit, L. Waltersdorfer, F. J. Ekaputra, S. Karampatakis, T. Miksa, and G. Käfer, “Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction,” in The Semantic Web: 20th International Conference, ESWC, 2023, pp. 609-624.
    [Bibtex] 
    @inproceedings{Breit2023,
author = {Anna Breit and Laura Waltersdorfer and Fajar J. Ekaputra and Sotirios Karampatakis and Tomasz Miksa and Gregor Käfer},
doi = {10.1007/978-3-031-33455-9_36},
booktitle = {The Semantic Web: 20th International Conference, ESWC},
pages = {609-624},
title = {Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction},
year = {2023},
}
  • G. B. Herwanto, F. J. Ekaputra, F. Piroi, and M. Sabou, “Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering,” VOILA! 2023: 8th International Workshop on Visualization and Interaction for Ontologies and Linked Data, Athens, Greece, Co-located with ISWC, 2023.
    [Bibtex] 
    @article{Herwanto2023,
author = {Guntur Budi Herwanto and Fajar J Ekaputra and Florina Piroi and Marta Sabou},
journal = {VOILA! 2023: 8th International Workshop on Visualization and Interaction for Ontologies and Linked Data, Athens, Greece, Co-located with ISWC},
title = {Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering},
url = {https://ceur-ws.org/Vol-3508/paper5.pdf},
year = {2023},
}
  • X. Li, A. Hughes, M. Llugiqi, F. Polat, P. Groth, and F. J. Ekaputra, “Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models,” in KBC-LM’23: Knowledge Base Construction from Pre-trained Language Models workshop at ISWC, 2023.
    [Bibtex] 
    @inproceedings{Li2023,
author = {Xue Li and Anthony Hughes and Majlinda Llugiqi and Fina Polat and Paul Groth and Fajar J. Ekaputra},
booktitle = {KBC-LM’23: Knowledge Base Construction from Pre-trained Language Models workshop at ISWC},
title = {Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models},
year = {2023},
}

2022

  • A. Einfalt, P. R. Aryan, M. Sabou, A. Fernbach, and A. Frischenschlager, “Realisation of Grid-friendly Charging considering Usability by Knowledge Graph enabled Explainability,” CIRED workshop on E-mobility and power distribution systems, 2022.
    [Bibtex] 
    @article{Einfalt2022,
author = {Alfred Einfalt and Peb Ruswono Aryan and Marta Sabou and Andreas Fernbach and Alfred Frischenschlager},
journal = {CIRED workshop on E-mobility and power distribution systems},
month = {6},
title = {Realisation of Grid-friendly Charging considering Usability by Knowledge Graph enabled Explainability},
year = {2022},
}
  • A. Breit, L. Waltersdorfer, F. J. Ekaputra, T. Miksa, and M. Sabou, “A Lifecycle Framework for Semantic Web Machine Learning Systems,” The 4th International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs 2022, 2022.
    [Bibtex] 
    @article{Breit2022,
author = {Anna Breit and Laura Waltersdorfer and Fajar J. Ekaputra and Tomasz Miksa and Marta Sabou},
journal = {The 4th International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs 2022},
title = {A Lifecycle Framework for Semantic Web Machine Learning Systems},
year = {2022},
}
  • S. Tsaneva and M. Sabou, “Hybrid Human-Machine Evaluation of Knowledge Graphs,” in Workshop on Human-Centered Design of Symbiotic Hybrid Intelligence, collocated with the first International Conference on Hybrid Human Artificial Intelligence – HHAI, 2022.
    [Bibtex] 
    @inproceedings{Tsaneva2022,
author = {Stefani Tsaneva and Marta Sabou},
booktitle = {Workshop on Human-Centered Design of Symbiotic Hybrid Intelligence, collocated with the first International Conference on Hybrid Human Artificial Intelligence - HHAI},
title = {Hybrid Human-Machine Evaluation of Knowledge Graphs},
year = {2022},
}
  • [DOI] S. Tsaneva, K. Käsznar, and M. Sabou, “Human-Centric Ontology Evaluation: Process and Tool Support,” in 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW, 2022, pp. 182-197.
    [Bibtex] 
    @inproceedings{Tsaneva2022,
author = {Stefani Tsaneva and Klemens Käsznar and Marta Sabou},
doi = {10.1007/978-3-031-17105-5_14},
isbn = {978-3-031-17105-5},
booktitle = {23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW},
pages = {182-197},
title = {Human-Centric Ontology Evaluation: Process and Tool Support},
url = {https://doi.org/10.1007/978-3-031-17105-5_14},
year = {2022},
}
  • F. J. Ekaputra, L. Waltersdorfer, A. Breit, and M. Sabou, “Towards a Standardized Description of Semantic Web Machine Learning Systems,” in Proceedings of the first Workshop on Semantic AI, collocated with Semantics, 2022.
    [Bibtex] 
    @inproceedings{Ekaputra2022,
author = {Fajar J Ekaputra and Laura Waltersdorfer and Anna Breit and Marta Sabou},
booktitle = {Proceedings of the first Workshop on Semantic AI, collocated with Semantics},
title = {Towards a Standardized Description of Semantic Web Machine Learning Systems},
url = {https://ceur-ws.org/Vol-3235/paper23.pdf},
year = {2022},
}
  • F. J. Ekaputra, F. Piroi, M. Noeske, J. Friis, A. Calvio, N. Konchakova, R. Foidl, W. L. Cavalcanti, L. Foschini, T. F. Hagelien, A. Mora, C. W. Andersen, and B. Andreon, “Towards An Open Translation Environment for Supporting Translators in The Materials Domain,” in Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI’22), Tarbes, France, September 12–15, 2022, , 2022.
    [Bibtex] 
    @inbook{Ekaputra2022,
author = {Fajar J Ekaputra and Florina Piroi and Michael Noeske and Jesper Friis and Alessandro Calvio and Natalia Konchakova and Raffael Foidl and Welchy L Cavalcanti and Luca Foschini and Thomas F Hagelien and Alessio Mora and Casper W Andersen and Barbara Andreon},
booktitle = {Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI’22), Tarbes, France, September 12–15, 2022},
title = {Towards An Open Translation Environment for Supporting Translators in The Materials Domain},
year = {2022},
}
  • [DOI] A. Breit, L. Waltersdorfer, F. J. Ekaputra, T. Miksa, and M. Sabou, “A Lifecycle Framework for Semantic Web Machine Learning Systems,” The 4th International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs, 2022.
    [Bibtex] 
    @article{Breit2022,
author = {Anna Breit and Laura Waltersdorfer and Fajar J Ekaputra and Tomasz Miksa and Marta Sabou},
doi = {10.1007/978-3-031-14343-4_33},
journal = {The 4th International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs},
title = {A Lifecycle Framework for Semantic Web Machine Learning Systems},
url = {https://link.springer.com/content/pdf/10.1007/978-3-031-14343-4_33.pdf?pdf=inline%20link},
year = {2022},
}
  • F. J. Ekaputra, F. Piroi, M. Noeske, J. Friis, A. Calvio, N. Konchakova, R. Foidl, W. L. Cavalcanti, L. Foschini, T. F. Hagelien, and others, “Towards an Open Translation Environment for Supporting Translators in the Materials Domain,” Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI’22), Tarbes, France, September 12–15, 2022, 2022.
    [Bibtex] 
    @article{Ekaputra2022,
author = {Fajar J Ekaputra and Florina Piroi and Michael Noeske and Jesper Friis and Alessandro Calvio and Natalia Konchakova and Raffael Foidl and Welchy L Cavalcanti and Luca Foschini and Thomas F Hagelien and others},
journal = {Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI’22), Tarbes, France, September 12–15, 2022},
title = {Towards an Open Translation Environment for Supporting Translators in the Materials Domain},
url = {https://ceur-ws.org/Vol-3240/poster3.pdf},
year = {2022},
}
  • [DOI] S. Tsaneva, K. Käsznar, and M. Sabou, “Human-Centric Ontology Evaluation: Process and Tool Support,” in Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings, 2022, pp. 182-197.
    [Bibtex] 
    @inproceedings{Tsaneva2022,
author = {Stefani Tsaneva and Klemens Käsznar and Marta Sabou},
doi = {10.1007/978-3-031-17105-5_14},
booktitle = {Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings},
pages = {182-197},
title = {Human-Centric Ontology Evaluation: Process and Tool Support},
url = {https://doi.org/10.1007/978-3-031-17105-5_14},
year = {2022},
}
  • S. Tsaneva and M. Sabou, “Hybrid Human-Machine Evaluation of Knowledge Graphs,” in Workshop on Human-Centered Design of Symbiotic Hybrid Intelligence, collocated with the first International Conference on Hybrid Human Artificial Intelligence (HHAI), 2022.
    [Bibtex] 
    @inproceedings{Tsaneva2022,
author = {Stefani Tsaneva and Marta Sabou},
booktitle = {Workshop on Human-Centered Design of Symbiotic Hybrid Intelligence, collocated with the first International Conference on Hybrid Human Artificial Intelligence (HHAI)},
title = {Hybrid Human-Machine Evaluation of Knowledge Graphs},
url = {http://hdl.handle.net/20.500.12708/176961},
year = {2022},
}
  • [DOI] A. Einfalt, P. R. Aryan, M. Sabou, A. Fernbach, and A. Frischenschlager, “Realisation of grid-friendly charging considering usability by knowledge graph enabled explainability,” CIRED workshop on E-mobility and power distribution systems, 2022.
    [Bibtex] 
    @article{Einfalt2022,
author = {Alfred Einfalt and Peb Ruswono Aryan and Marta Sabou and Andreas Fernbach and Albin Frischenschlager},
doi = {10.1049/icp.2022.0778},
journal = {CIRED workshop on E-mobility and power distribution systems},
publisher = {IET},
title = {Realisation of grid-friendly charging considering usability by knowledge graph enabled explainability},
url = {https://digital-library.theiet.org/content/conferences/10.1049/icp.2022.0778},
year = {2022},
}

2021

  • [DOI] A. Ekelhart, F. J. Ekaputra, and E. Kiesling, “The SLOGERT Framework for automated Log Knowledge Graph Construction,” in Proceedings of the Extended Semantic Web Conference, 2021.
    [Bibtex] 
    @inproceedings{Ekelhart2021,
abstract = {Log files are a vital source of information for keeping systems running and healthy. However, analyzing raw log data, i.e., textual records of system events, typically involves tedious searching for and inspecting clues, as well as tracing and correlating them across log sources. Existing log management solutions ease this process with efficient data collection, storage and normalization mechanisms, but identifying and linking entities across log sources and enriching them with background knowledge is largely an unresolved challenge. To facilitate a knowledge-based approach to log analysis, this paper introduces SLOGERT, a flexible framework and workflow for automated construction of knowledge graphs from arbitrary raw log messages. At its core, it automatically identifies rich RDF graph modelling patterns to represent types of events and extracted parameters that appear in a log stream. We present the workflow, the developed vocabularies for log integration, and our prototypical implementation. To demonstrate the viability of this approach, we conduct a performance analysis and illustrate its application on a large public log dataset in the security domain.},
author = {Andreas Ekelhart and Fajar J. Ekaputra and Elmar Kiesling},
doi = {10.1007/978-3-030-77385-4_38},
booktitle = {Proceedings of the Extended Semantic Web Conference},
title = {The SLOGERT Framework for automated Log Knowledge Graph Construction},
url = {https://doi.org/10.1007/978-3-030-77385-4_38},
year = {2021},
}
  • L. Waltersdorfer, A. Breit, F. J. Ekaputra, and M. Sabou, “Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study,” in The 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs2021), 2021.
    [Bibtex] 
    @inproceedings{Waltersdorfer2021,
author = {Laura Waltersdorfer and Anna Breit and Fajar J. Ekaputra and Marta Sabou},
booktitle = {The 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs2021)},
title = {Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study},
year = {2021},
}
  • H. Raissya, F. Darari, and F. J. Ekaputra, “VizKG: A Framework for Visualizing SPARQL Query Results over Knowledge Graphs,” in International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with ISWC, 2021.
    [Bibtex] 
    @inproceedings{Raissya2021,
author = {Hana Raissya and Fariz Darari and Fajar J. Ekaputra},
booktitle = {International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with ISWC},
title = {VizKG: A Framework for Visualizing SPARQL Query Results over Knowledge Graphs},
url = {https://ceur-ws.org/Vol-3023/paper3.pdf},
year = {2021},
}
  • [DOI] P. R. Aryan, F. J. Ekaputra, M. Sabou, D. Hauer, R. Mosshammer, A. Einfalt, T. Miksa, and A. Rauber, “Explainable Cyber-Physical Energy Systems based on Knowledge Graph,” in Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, 2021.
    [Bibtex] 
    @inproceedings{Aryan2021a,
author = {Peb Ruswono Aryan and Fajar J. Ekaputra and Marta Sabou and Daniel Hauer and Ralf Mosshammer and Alfred Einfalt and Tomasz Miksa and Andreas Rauber},
doi = {10.1145/3470481.3472704},
booktitle = {Workshop on Modeling and Simulation of Cyber-Physical Energy Systems},
title = {Explainable Cyber-Physical Energy Systems based on Knowledge Graph},
url = {https://doi.org/10.1145/3470481.3472704},
year = {2021},
}
  • [DOI] P. R. Aryan, M. Deimel, F. J. Ekaputra, and M. Sabou, “Using SPARQL to express Causality in Explainable Cyber-Physical Systems,” in International Conference of Advanced Informatics: Concepts, Theory and Applications – ICAICTA, 2021.
    [Bibtex] 
    @inproceedings{Aryan2021,
author = {Peb R. Aryan and Matthias Deimel and Fajar J. Ekaputra and Marta Sabou},
doi = {10.1109/ICAICTA53211.2021.9640268},
booktitle = {International Conference of Advanced Informatics: Concepts, Theory and Applications - ICAICTA},
title = {Using SPARQL to express Causality in Explainable Cyber-Physical Systems},
url = {https://doi.org/10.1109/ICAICTA53211.2021.9640268},
year = {2021},
}
  • [DOI] F. J. Ekaputra, A. Ekelhart, R. Mayer, T. Miksa, T. Šarčević, S. Tsepelakis, and L. Waltersdorfer, “Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis,” Semantic Web, pp. 1-34, 2021.
    [Bibtex] 
    @article{Ekaputra2021,
author = {Fajar J. Ekaputra and Andreas Ekelhart and Rudolf Mayer and Tomasz Miksa and Tanja Šarčević and Sotirios Tsepelakis and Laura Waltersdorfer},
doi = {10.3233/SW-212883},
issue = {Nr. Preprint},
journal = {Semantic Web},
pages = {1-34},
title = {Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis},
url = {https://doi.org/10.3233/SW-212883},
year = {2021},
}
  • [DOI] D. A. Josephine, A. Purwarianti, and F. J. Ekaputra, “Knowledge Graph Construction using Information Extraction of Indonesian Cosmetic Product Text,” in International Conference of Advanced Informatics: Concepts, Theory and Applications – ICAICTA, 2021.
    [Bibtex] 
    @inproceedings{Josephine2021,
author = {Deborah Aprilia Josephine and Ayu Purwarianti and Fajar J. Ekaputra},
doi = {10.1109/ICAICTA53211.2021.9640251},
booktitle = {International Conference of Advanced Informatics: Concepts, Theory and Applications - ICAICTA },
title = {Knowledge Graph Construction using Information Extraction of Indonesian Cosmetic Product Text},
url = {https://doi.org/10.1109/ICAICTA53211.2021.9640251},
year = {2021},
}
  • [DOI] A. Ekelhart, F. J. Ekaputra, and E. Kiesling, “The SLOGERT framework for automated log knowledge graph construction,” in The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings, 2021, pp. 631-646.
    [Bibtex] 
    @inproceedings{Ekelhart2021,
author = {Andreas Ekelhart and Fajar J Ekaputra and Elmar Kiesling},
doi = {10.1007/978-3-030-77385-4_38},
booktitle = {The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings},
pages = {631-646},
title = {The SLOGERT framework for automated log knowledge graph construction},
url = {https://link.springer.com/chapter/10.1007/978-3-030-77385-4_38},
year = {2021},
}
  • H. Raissya, F. Darari, and F. J. Ekaputra, “VizKG: A framework for visualizing SPARQL query results over knowledge graphs,” VOILA, 2021.
    [Bibtex] 
    @article{Raissya2021,
author = {Hana Raissya and Fariz Darari and Fajar J Ekaputra},
journal = {VOILA},
title = {VizKG: A framework for visualizing SPARQL query results over knowledge graphs},
url = {https://ceur-ws.org/Vol-3023/paper3.pdf},
year = {2021},
}
  • [DOI] L. Waltersdorfer, A. Breit, F. J. Ekaputra, and M. Sabou, “Bridging semantic web and machine learning: first results of a systematic mapping study,” in Database and Expert Systems Applications-DEXA 2021 Workshops: BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27–30, 2021, Proceedings 32, 2021, pp. 81-90.
    [Bibtex] 
    @inproceedings{Waltersdorfer2021,
author = {Laura Waltersdorfer and Anna Breit and Fajar J Ekaputra and Marta Sabou},
doi = {10.1007/978-3-030-87101-7_9},
booktitle = {Database and Expert Systems Applications-DEXA 2021 Workshops: BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27–30, 2021, Proceedings 32},
pages = {81-90},
title = {Bridging semantic web and machine learning: first results of a systematic mapping study},
url = {https://link.springer.com/chapter/10.1007/978-3-030-87101-7_9},
year = {2021},
}
  • [DOI] P. R. Aryan, F. J. Ekaputra, M. Sabou, D. Hauer, R. Mosshammer, A. Einfalt, T. Miksa, and A. Rauber, “Explainable cyber-physical energy systems based on knowledge graph,” in ACM Computing Surveys, 2021, pp. 1-6.
    [Bibtex] 
    @inproceedings{Aryan2021,
author = {Peb Ruswono Aryan and Fajar Juang Ekaputra and Marta Sabou and Daniel Hauer and Ralf Mosshammer and Alfred Einfalt and Tomasz Miksa and Andreas Rauber},
doi = {10.1145/3470481.3472704},
booktitle = {ACM Computing Surveys},
pages = {1-6},
title = {Explainable cyber-physical energy systems based on knowledge graph},
url = {https://dl.acm.org/doi/abs/10.1145/3470481.3472704},
year = {2021},
}
  • [DOI] P. R. Aryan, M. Deimel, F. J. Ekaputra, and M. Sabou, “Using SPARQL to express Causality in Explainable Cyber-Physical Systems,” in 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2021, pp. 1-5.
    [Bibtex] 
    @inproceedings{Aryan2021,
author = {Peb R Aryan and Matthias Deimel and Fajar J Ekaputra and Marta Sabou},
doi = {10.1109/ICAICTA53211.2021.9640268},
booktitle = {2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
pages = {1-5},
title = {Using SPARQL to express Causality in Explainable Cyber-Physical Systems},
url = {https://ieeexplore.ieee.org/abstract/document/9640268},
year = {2021},
}
  • [DOI] F. J. Ekaputra, A. Ekelhart, R. Mayer, T. Miksa, T. Šarčević, S. Tsepelakis, and L. Waltersdorfer, “Semantic-enabled architecture for auditable privacy-preserving data analysis,” Semantic Web, pp. 1-34, 2021.
    [Bibtex] 
    @article{Ekaputra2021,
author = {Fajar J Ekaputra and Andreas Ekelhart and Rudolf Mayer and Tomasz Miksa and Tanja Šarčević and Sotirios Tsepelakis and Laura Waltersdorfer},
doi = {10.3233/SW-212883},
issue = {Preprint},
journal = {Semantic Web},
pages = {1-34},
publisher = {IOS Press},
title = {Semantic-enabled architecture for auditable privacy-preserving data analysis},
url = {https://content.iospress.com/articles/semantic-web/sw212883},
year = {2021},
}
  • [DOI] D. A. Josephine, A. Purwarianti, and F. J. Ekaputra, “Knowledge Graph Construction using Information Extraction of Indonesia Cosmetic Product Text in Bahasa Indonesia,” in 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2021, pp. 1-6.
    [Bibtex] 
    @inproceedings{Josephine2021,
author = {Deborah Aprilia Josephine and Ayu Purwarianti and Fajar J Ekaputra},
doi = {10.1109/ICAICTA53211.2021.9640251},
booktitle = {2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
pages = {1-6},
title = {Knowledge Graph Construction using Information Extraction of Indonesia Cosmetic Product Text in Bahasa Indonesia},
url = {https://ieeexplore.ieee.org/abstract/document/9640251},
year = {2021},
}
  • L. Waltersdorfer, “Auditable Semantic Web Machine Learning Systems,” ISWC Doctoral Consortium, 2021.
    [Bibtex] 
    @article{Waltersdorfer2021,
author = {Laura Waltersdorfer},
journal = {ISWC Doctoral Consortium},
title = {Auditable Semantic Web Machine Learning Systems},
url = {https://ceur-ws.org/Vol-3005/08paper.pdf},
year = {2021},
}

2020

  • [DOI] P. R. Aryan, F. J. Ekaputra, M. Sabou, D. Hauer, R. Mosshammer, A. Einfalt, T. Miksa, and A. Rauber, “Simulation Support for Explainable Cyber-Physical Energy Systems,” in 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, 2020, pp. 1-6.
    [Bibtex] 
    @inproceedings{Aryan2020,
abstract = {Smart energy grids are evolving from static infrastructures to dynamic systems where Distributed Energy Resources (PV, eCars) are joining or leaving the system randomly. Cyber-Physical (Energy) Systems (CP(E)S) are therefore increasingly complex and dynamic, with several stakeholders (end users, system operators) requiring explanations of the system status/behaviour. The development of solutions for explainable CP(E)S algorithms is however challenging because the deployment and testing in vivo of these solutions is restricted, if not impossible, in terms of the risks of modifying a critical infrastructure. In this paper, we present a semantics based solution to explainable CP(E)S and show how its development is supported by being able to test it in in vitro settings enabled by the BIFROST simulation engine. We validate the proposed solution in a simulated e-mobility use case.},
author = {Peb R Aryan and Fajar J Ekaputra and Marta Sabou and Daniel Hauer and Ralf Mosshammer and Alfred Einfalt and Tomasz Miksa and Andreas Rauber},
doi = {10.1109/MSCPES49613.2020.9133700},
isbn = {978-1-7281-8721-1},
booktitle = {2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems},
pages = {1-6},
title = {Simulation Support for Explainable Cyber-Physical Energy Systems},
url = {https://doi.org/10.1109/MSCPES49613.2020.9133700},
year = {2020},
}
  • [DOI] F. Rinker, L. Waltersdorfer, M. Schüller, and D. Winkler, “Graph-based Model Inspection Tool for Multi-disciplinary Production Systems Engineering.,” in MODELSWARD, 2020, pp. 116-125.
    [Bibtex] 
    @inproceedings{rinker2020graph,
abstract = {Background. In Production Systems Engineering (PSE), the planning of production systems involves domain experts from various domains, such as mechanical, electrical and software engineering collaborating and modeling their specific views on the system. These models, describing entire plants, can reach a large size (up to several GBs) with complex relationships and dependencies. Due to the size, ambiguous semantics and diverging views, consistency of data and the awareness of changes are challenging to track. Aim. In this paper we explore visualizations mechanisms for a model inspection tool to support consistency checking and the awareness of changes in multi-disciplinary PSE environments, as well has more efficient handing of AutomationML (AML) files. Method. We explore various visualization capabilities that are suitable for hierarchical structures common in PSE and identified requirements for a model-inspection tool for PSE purposes based on workshops with our company partner. A proof-of concept software prototype is developed based on the elicited requirements. Results. We evaluate the effectiveness of our Information Visualisation (InfoVis) approach in comparison to a standard modeling tool in PSE, the AutomationML Editor. The evaluation showed promising results for handling large-scale engineering models based on AML for the selected scenarios, but also areas for future improvement, such as more advanced capabilities. Conclusion. Although InfoVis was found useful in the evaluation context, in-depth analysis with domain experts from industry regarding usability and features remain for future work.},
author = {Felix Rinker and Laura Waltersdorfer and Manuel Schüller and Dietmar Winkler},
doi = {10.5220/0008990001160125},
isbn = {978-989-758-400-8},
issn = {2184-4348},
booktitle = {MODELSWARD},
keywords = {Domain-specific Languages,Domain-specific Modeling,Model Quality,Model-driven Engineering,Multi-disciplinary Engineering.,Production Systems Engineering},
pages = {116-125},
title = {Graph-based Model Inspection Tool for Multi-disciplinary Production Systems Engineering.},
url = {https://doi.org/10.5220/0008990001160125},
year = {2020},
}
  • [DOI] L. Waltersdorfer, F. Rinker, S. Biffl, and L. Kathrein, “Experiences with Technical Debt Management in Production Systems Engineering,” in International Conference on Technical Debt, 2020, pp. 41-50.
    [Bibtex] 
    @inproceedings{waltersdorfer2020experiences,
abstract = {Technical Debt (TD) has proven to be a suitable communication concept for software-intensive contexts to raise awareness regarding longterm negative effects of deviations from standards and guidelines. TD has also been introduced to systems engineering domain, to communicate design shortcomings in long-running, software-assisted systems. We analysed potential TD in the engineering data exchange for production system engineering. Similar to requirements engineering in software-intensive systems, data exchange in the design phase plays an integral part in Software Engineering (SE) for Production Systems Engineering: Specifications, and physical logic have to be derived from heterogeneous plant models or parameter tables designed by different stakeholders. However, traditional procedures and inadequate tool support lead to inefficient data extraction and integration. We identified debt arising from knowledge representation, data model and the exchange process. The refinement validation of identified TD was achieved through semi-structured interviews with representatives in two analysed companies. In an online survey with ten participants from an industrial consortium we evaluated whether the identified TD concepts also applied to other companies, which is true for the majority of TD. Furthermore, we discuss promising TD management strategies to repay and manage negative effects and the accumulation of additional debt, such as improved communication, test-driven model engineering and visualisation of engineering models.},
author = {Laura Waltersdorfer and Felix Rinker and Stefan Biffl and Lukas Kathrein},
doi = {10.1145/3387906.3388627},
booktitle = {International Conference on Technical Debt},
pages = {41-50},
title = {Experiences with Technical Debt Management in Production Systems Engineering},
url = {https://doi.org/10.1145/3387906.3388627},
year = {2020},
}
  • [DOI] M. Sabou, K. Käsznar, M. Zlabinger, D. Winkler, and S. Biffl, “Verifying Extended Entity Relationship Diagrams with Open Tasks,” in Proceedings of The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020), 2020.
    [Bibtex] 
    @inproceedings{Sabou2020b,
abstract = {The verification of Extended Entity Relationship (EER) diagrams and other conceptual models that capture the design of information systems is crucial to ensure reliable systems. To scale up verification processes to larger groups of experts, Human Computation techniques were used focusing primarily on closed tasks, which constrain the number and variety of reported defects in favor of easy aggregation of derived judgements. To address this limitation of closed tasks, in this paper, we investigate EER verification (as instance of a broader family of model verification problems) with open tasks to extend the range of collected results. We also address the challenge of aggregating results of open tasks by proposing a followup HC task for defect validation. We evaluate our approach for HC-based EER Verification with open tasks in a set of experiments conducted with junior developers and show that (1) open tasks allow collecting a variety of insights that go beyond a manually built gold standard while still leading to good performance (F1=60\{\%\}) and (2) HC-based validation can be reliably used for validating the results of open tasks (F1=84\{\%\} compared to expert validation).},
author = {Marta Sabou and Klemens Käsznar and Markus Zlabinger and Dietmar Winkler and Stefan Biffl},
doi = {10.1609/hcomp.v8i1.7471},
booktitle = {Proceedings of The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020)},
note = {Publikationdatenbank},
title = {Verifying Extended Entity Relationship Diagrams with Open Tasks},
url = {https://doi.org/10.1609/hcomp.v8i1.7471},
year = {2020},
}
  • [DOI] J. D. Fernández, M. Sabou, S. Kirrane, E. Kiesling, F. J. Ekaputra, A. Azzam, and R. Wenning, “User consent modeling for ensuring transparency and compliance in smart cities,” Personal and Ubiquitous Computing, p. 465 – 486., 2020.
    [Bibtex] 
    @article{Fernandez2020,
abstract = {Smart city infrastructures such as transportation and energy networks are evolving into so-called cyber physical social systems (CPSSs), which collect and leverage citizens' data in order to adapt services to citizens' needs. The privacy implications of such systems are, however, significant and need to be addressed. Current systems either try to escape the privacy challenge via anonymization or use very rigid, hard-coded workflows that have been agreed with a data protection authority. In the case of the latter, there is a severe impact on data quality and richness, whereas in the former, only these hard-coded flows are permitted resulting in diminished functionality and potential. We address these limitations via user modeling in terms of investigating how to model and semantically represent user consent, preferences, and data usage policies that will guide the processing of said data in the data lake. Data protection is a horizontal field and consequently very wide. Therefore, we focus on a concrete setting where we extend the domain-agnostic SPECIAL policy language for a smart mobility use case supplied by Vienna's largest utility provider. To that end, (1) we create an extension of SPECIAL in terms of a core CPSS vocabulary that lowers the semantic gap between the domain agnostic terms of SPECIAL and the vocabulary of the use case; (2) we propose a workflow that supports defining domain-specific vocabularies for complex CPSSs; and (3) show that these two contributions allow successfully achieving the goals of our setting.},
author = {Javier D Fernández and Marta Sabou and Sabrina Kirrane and Elmar Kiesling and Fajar J Ekaputra and Amr Azzam and Rigo Wenning},
doi = {10.1007/s00779-019-01330-0},
issn = {1617-4909},
issue = {24},
journal = {Personal and Ubiquitous Computing},
keywords = {Cyber physical (social) systems,GDPR,Linked data,Privacy,Smart mobility,User consent modeling},
month = {1},
note = {publikationsdatenbank},
pages = {465 - 486.},
title = {User consent modeling for ensuring transparency and compliance in smart cities},
url = {https://doi.org/10.1007/s00779-019-01330-0},
year = {2020},
}
  • [DOI] M. Sabou, S. Biffl, A. Einfalt, L. Krammer, W. Kastner, and F. J. Ekaputra, “Semantics for Cyber-Physical Systems: A cross-domain perspective,” Semantic Web, vol. 11, pp. 115-124, 2020.
    [Bibtex] 
    @article{Sabou2020,
abstract = {Modern life is increasingly made more comfortable, efficient, and sustainable by the smart systems that surround us: smart buildings monitor and adjust temperature levels to achieve occupant comfort while optimizing energy consumption; smart energy grids reconfigure dynamically to make the best use of ad-hoc energy produced by a host of distributed energy producers; smart factories can be reconfigured on the shop-floor to efficiently produce a diverse range of products. These complex systems can only be realized by tightly integrating components in the physical space (sensors, actuators) with advanced software algorithms in the cyber-space, thus creating so-called Cyber-Physical Systems(CPS). Semantic Web technologies (SWT) have seen a natural uptake in several areas based on CPS, given that CPS are data and knowledge intensive while providing advanced functionalities typical of semantics-based intelligent systems. Yet, so far, this uptake has primarily happened within the boundaries of application domains resulting in somewhat disconnected research communities. In this paper, we take a cross-domain perspective by synthesizing our experiences of using SWTs during the engineering and operation of CPS in smart manufacturing, smart buildings and smart grids. We discuss use cases that are amenable to the use of SWTs, benefits and challenges of using these technologies in the CPS lifecycle as well as emerging future trends. While non-exhaustive, our paper aims at opening up a dialog between these fields and at putting the foundation for a research area on semantics in CPS.},
author = {Marta Sabou and Stefan Biffl and Alfred Einfalt and Lukas Krammer and Wolfgang Kastner and Fajar J Ekaputra},
doi = {10.3233/SW-190381},
editor = {Pascal Hitzler and Krzysztof Janowicz},
issn = {22104968},
issue = {1},
journal = {Semantic Web},
keywords = {0,cyber-physical systems,industrie4,semantic web technologies,smart buildings,smart energy networks},
month = {1},
pages = {115-124},
title = {Semantics for Cyber-Physical Systems: A cross-domain perspective},
volume = {11},
url = {https://doi.org/10.3233/SW-190381},
year = {2020},
}
  • [DOI] M. Zlabinger, M. Sabou, S. Hofstätter, M. Sertkan, and A. Hanbury, “DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts,” in Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020, pp. 2109-2112.
    [Bibtex] 
    @inproceedings{ZlabingerSHSH20,
abstract = {The success of crowdsourcing based annotation of text corpora depends on ensuring that crowdworkers are sufficiently well-trained to perform the annotation task accurately. To that end, a frequent approach to train annotators is to provide instructions and a few example cases that demonstrate how the task should be performed (referred to as the CONTROL approach). These globally defined "task-level examples", however, (i) often only cover the common cases that are encountered during an annotation task; and (ii) require effort from crowdworkers during the annotation process to find the most relevant example for the currently annotated sample. To overcome these limitations, we propose to support workers in addition to task-level examples, also with "task-instance level" examples that are semantically similar to the currently annotated data sample (referred to as Dynamic Examples for Annotation, DEXA). Such dynamic examples can be retrieved from collections previously labeled by experts, which are usually available as gold standard dataset. We evaluate DEXA on a complex task of annotating participants, interventions, and outcomes (known as PIO) in sentences of medical studies. The dynamic examples are retrieved using BioSent2Vec, an unsupervised semantic sentence similarity method specific to the biomedical domain. Results show that (i) workers of the DEXA approach reach on average much higher agreements (Cohen's Kappa) to experts than workers of the the CONTROL approach (avg. of 0.68 to experts in DEXA vs. 0.40 in CONTROL); (ii) already three per majority voting aggregated annotations of the DEXA approach reach substantial agreements to experts of 0.78/0.75/0.69 for P/I/O (in CONTROL 0.73/0.58/0.46). Finally, (iii) we acquire explicit feedback from workers and show that in the majority of cases (avg. 72\{\%\}) workers find the dynamic examples useful.},
author = {Markus Zlabinger and Marta Sabou and Sebastian Hofstätter and Mete Sertkan and Allan Hanbury},
doi = {10.1145/3397271.3401334},
booktitle = {Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval},
keywords = {PICO task,crowdsourcing,human data annotation},
note = {Publikationdatenbank},
pages = {2109-2112},
title = {DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts},
url = {https://doi.org/10.1145/3397271.3401334},
year = {2020},
}
  • [DOI] M. Zlabinger, M. Sabou, S. Hofstätter, and A. Hanbury, “Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports,” in Findings of the Association for Computational Linguistics: EMNLP, 2020.
    [Bibtex] 
    @inproceedings{Zlabinger2020,
abstract = {The search for Participants, Interventions, and Outcomes (PIO) in clinical trial reports is a critical task in Evidence Based Medicine. For an automatic PIO extraction, high-quality corpora are needed. Obtaining such a corpus from crowdworkers, however, has been shown to be ineffective since (i) workers usually lack domain-specific expertise to conduct the task with sufficient quality, and (ii) the standard approach of annotating entire abstracts of trial reports as one task-instance (i.e. HIT) leads to an uneven distribution in task effort. In this paper, we switch from entire abstract to sentence annotation, referred to as the SenBase approach. We build upon SenBase in SenSupport, where we compensate the lack of domain-specific expertise of crowdworkers by showing for each task-instance similar sentences that are already annotated by experts. Such tailored task-instance examples are retrieved via unsupervised semantic short-text similarity (SSTS) method – and we evaluate nine methods to find an effective solution for SenSupport. We compute the Cohen's Kappa agreement between crowd-annotations and gold standard annotations and show that (i) both sentence-based approaches outperform a Baseline approach where entire abstracts are annotated; (ii) supporting annotators with tailored task-instance examples is the best performing approach with Kappa agreements of 0.78/0.75/0.69 for P, I, and O respectively.},
author = {Markus Zlabinger and Marta Sabou and Sebastian Hofstätter and Allan Hanbury},
doi = {10.18653/v1/2020.findings-emnlp.274},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP},
publisher = {Association for Computational Linguistics},
title = {Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports},
url = {https://doi.org/10.18653/v1/2020.findings-emnlp.274},
year = {2020},
}

2019

  • [DOI] C. G. Neto, A. A. Neto, M. Kalinowski, D. C. M. de Oliveira, M. Sabou, D. Winkler, and S. Biffl, “Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment,” in International Conference on Enterprise Information Systems, ICEIS, 2019, pp. 107-118.
    [Bibtex] 
    @inproceedings{DBLP:conf/iceis/NetoNKOS0B19,
abstract = {Context: Software inspection represents an effective way to identify defects in early phase software artifacts, such as models. Unfortunately, large models and associated reference documents cannot be thoroughly inspected in one inspection session of typically up to two hours. Considerably longer sessions have shown a much lower defect detection efficiency due to cognitive fatigue. Goal: The goal of this paper is to propose and evaluate a Model Scoping approach to allow inspecting specific parts of interest in large models. Method: First, we designed the approach, which involves identifying Expected Model Elements (EMEs) in selected parts of the reference document and then using these EMEs to scope the model (i.e., remove unrelated parts). These EMEs can also be used to support inspectors during defect detection. We conducted a controlled experiment using industrial artifacts. Subjects were asked to conduct UML class diagram inspections based on selected parts of functional specificat ions. In the experimental treatment, Model Scoping was applied and inspectors were provided with the scoped model and the EMEs. The control group used the original model directly, without EMEs. We measured the inspectors' defect detection effectiveness and efficiency and collected qualitative data on the perceived complexity. Results: Applying Model Scoping prior to the inspection significantly increased the inspector defect detection effectiveness and efficiency, with large effect sizes. Qualitative data allowed observing a perception of reduced complexity during the inspection. Conclusion: Being able to effectively and efficiently inspect large models against selected parts of reference documents is a practical need, in particular in the context of incremental and agile process models. The experiment showed promising results for supporting such inspections using the proposed Model Scoping approach.},
author = {Carlos Gracioli Neto and Amadeu Anderlin Neto and Marcos Kalinowski and Daniel Cardoso Moraes de Oliveira and Marta Sabou and Dietmar Winkler and Stefan Biffl},
city = {Heraklion, Crete, Greece},
doi = {10.5220/0007691001070118},
editor = {Joaquim Filipe and Michal Smialek and Alexander Brodsky and Slimane Hammoudi},
isbn = {978-989-758-372-8},
booktitle = {International Conference on Enterprise Information Systems, ICEIS },
keywords = {Empirical Study.,Model Inspection,Model Quality Assurance,Model Scoping},
pages = {107-118},
publisher = {SciTePress},
title = {Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment},
url = {https://doi.org/10.5220/0007691001070118},
year = {2019},
}
  • [DOI] S. Biffl, L. Kathrein, A. Lüder, K. Meixner, M. Sabou, L. Waltersdorfer, and D. Winkler, “Software Engineering Risks from Technical Debt in the Representation of Production Knowledge,” in International Conference on Software Engineering and Knowledge Engineering, 2019, pp. 693-700.
    [Bibtex] 
    @inproceedings{BifflKatrein2019,
abstract = {In the multi-disciplinary production systems engineering (PSE) process, software engineers depend on requirements and design rationales coming from product and production process planning, summarized as product/ion knowledge. Unfortunately, the engineering artifacts coming from product/ion planning often represent important product/ion knowledge incompletely and not well integrated, leading to risks regarding software engineering quality. In this paper, we report on a case study at a large industrial PSE organization, investigating Technical Debt (TD) effects, items, and causes in PSE process documentation and configuration management according to the VDI guideline 3695 Part 2. We focus on requirements for and issues in the representation of product/ion knowledge in the engineering data provided to software engineers. Based on data elicited from PSE domain experts, we model TD concepts based on the Quality Function Deployment method as foundation for TD analysis and risk management. The initial validation with domain experts revealed how software engineers could benefit from improved product/ion knowledge modeling as foundation for better understanding the rationale of engineering design decisions.},
author = {Stefan Biffl and Lukas Kathrein and Arndt Lüder and Kristof Meixner and Marta Sabou and Laura Waltersdorfer and Dietmar Winkler},
doi = {10.18293/SEKE2019-037},
booktitle = {International Conference on Software Engineering and Knowledge Engineering},
keywords = {Multi-Disciplinary Production Systems Engineering,Process Management,Product-Process-Resource (PPR) Model,Product/ion Knowledge,Technical Debt},
month = {7},
pages = {693-700},
title = {Software Engineering Risks from Technical Debt in the Representation of Production Knowledge},
url = {https://doi.org/10.18293/SEKE2019-037},
year = {2019},
}
  • [DOI] E. Kiesling, A. Ekelhart, K. Kurniawan, and F. J. Ekaputra, “The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity,” in ISWC – International Semantic Web Conference, 2019, pp. 198-214.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/KieslingEKE19,
abstract = {This paper introduces an evolving cybersecurity knowledge graph that integrates and links critical information on real-world vulnerabilities, weaknesses and attack patterns from various publicly available sources. Cybersecurity constitutes a particularly interesting domain for the development of a domain-specific public knowledge graph, particularly due to its highly dynamic landscape characterized by time-critical, dispersed, and heterogeneous information. To build and continually maintain a knowledge graph, we provide and describe an integrated set of resources, including vocabularies derived from well-established standards in the cybersecurity domain, an ETL workflow that updates the knowledge graph as new information becomes available, and a set of services that provide integrated access through multiple interfaces. The resulting semantic resource offers comprehensive and integrated up-to-date instance information to security researchers and professionals alike. Furthermore, it can be easily linked to locally available information, as we demonstrate by means of two use cases in the context of vulnerability assessment and intrusion detection.},
author = {Elmar Kiesling and Andreas Ekelhart and Kabul Kurniawan and Fajar J Ekaputra},
doi = {10.1007/978-3-030-30796-7_13},
editor = {Chiara Ghidini and Olaf Hartig and Maria Maleshkova and Vojtech Svátek and Isabel F Cruz and Aidan Hogan and Jie Song and Maxime Lefrançois and Fabien Gandon},
isbn = {978-3-030-30796-7},
booktitle = {ISWC - International Semantic Web Conference},
keywords = {Cybersecurity,Intrusion detection,Knowledge graph,Security analysis,Security standards,Security vocabularies},
pages = {198-214},
publisher = {Springer},
title = {The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity},
volume = {11779},
url = {https://doi.org/10.1007/978-3-030-30796-7_13},
year = {2019},
}
  • [DOI] H. J. Pandit, A. Polleres, B. Bos, R. Brennan, B. P. Bruegger, F. J. Ekaputra, J. D. Fernández, R. G. Hamed, E. Kiesling, M. Lizar, E. Schlehahn, S. Steyskal, and R. Wenning, “Creating a Vocabulary for Data Privacy – The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG),” in On the Move to Meaningful Internet Systems: OTM Conferences, 2019, pp. 714-730.
    [Bibtex] 
    @inproceedings{DBLP:conf/otm/PanditPBBBEFHKL19,
abstract = {Managing privacy and understanding handling of personal data has turned into a fundamental right, at least within the European Union, with the General Data Protection Regulation (GDPR) being enforced since May 25th 2018. This has led to tools and services that promise compliance to GDPR in terms of consent management and keeping track of personal data being processed. The information recorded within such tools, as well as that for compliance itself, needs to be interoperable to provide sufficient transparency in its usage. Additionally, interoperability is also necessary towards addressing the right to data portability under GDPR as well as creation of user-configurable and manageable privacy policies. We argue that such interoperability can be enabled through agreement over vocabularies using linked data principles. The W3C Data Privacy Vocabulary and Controls Community Group (DPVCG) was set up to jointly develop such vocabularies towards interoperability in the context of data privacy. This paper presents the resulting Data Privacy Vocabulary (DPV), along with a discussion on its potential uses, and an invitation for feedback and participation.},
author = {Harshvardhan J Pandit and Axel Polleres and Bert Bos and Rob Brennan and Bud P Bruegger and Fajar J Ekaputra and Javier D Fernández and Roghaiyeh Gachpaz Hamed and Elmar Kiesling and Mark Lizar and Eva Schlehahn and Simon Steyskal and Rigo Wenning},
doi = {10.1007/978-3-030-33246-4_44},
editor = {Hervé Panetto and Christophe Debruyne and Martin Hepp and Dave Lewis and Claudio Agostino Ardagna and Robert Meersman},
isbn = {978-3-030-33246-4},
booktitle = {On the Move to Meaningful Internet Systems: OTM Conferences},
keywords = {Privacy GDPR Interoperability Semantic web},
pages = {714-730},
publisher = {Springer},
title = {Creating a Vocabulary for Data Privacy - The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG)},
volume = {11877},
year = {2019},
}
  • [DOI] A. Lüder, K. Kirchheim, J. Pauly, S. Biffl, F. Rinker, and L. Waltersdorfer, “Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration,” in IEEE 17th International Conference on Industrial Informatics (INDIN), 2019, pp. 1229-1234.
    [Bibtex] 
    @inproceedings{luder2019supporting,
abstract = {Data exchange and integration in a heterogeneous engineering network are challenges that an engineering organi-zation has to address. Most practitioners have realized that this challenge requires detailed consideration and involvement of the related engineering disciplines to specify and implement an appropriate data logistics. In this paper, we introduce a meta-model and method for the development of a data-mapping infrastructure to support the work of the engineers responsible for data logistics. The meta-model is the foundation for data logistics with automated data transformation, integration, and exchange by automating the mapping of engineering data as envisioned in VDI Guideline 3695. We report on a first validation of the method with a proof of concept using AutomationML.},
author = {Arndt Lüder and Konstantin Kirchheim and Johanna Pauly and Stefan Biffl and Felix Rinker and Laura Waltersdorfer},
city = {Helsinki, Finland, Finland},
doi = {10.1109/INDIN41052.2019.8972174},
institution = {IEEE},
booktitle = {IEEE 17th International Conference on Industrial Informatics (INDIN)},
keywords = {AutomationML,data logistics,engineering network,production system engineering},
pages = {1229-1234},
title = {Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration},
volume = {1},
year = {2019},
}
  • [DOI] S. Biffl, F. J. Ekaputra, A. Lüder, J. Pauly, F. Rinker, L. Waltersdorfer, and D. Winkler, “Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering,” in 45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA, 2019, pp. 342-346.
    [Bibtex] 
    @inproceedings{DBLP:conf/euromicro/BifflELPRW019,
abstract = {Similar to advanced software engineering, multidisciplinary systems engineering, such as industrial production systems engineering (PSE), has to integrate partial results from workgroups that design in parallel. Due to the heterogeneity of data sources and the divergence of local data models the exchanged engineering artefacts between PSE workgroups are complex, making the automation of the data exchange process in PSE difficult and prone to technical debt (TD). In this paper, we report on a case study at a large PSE company to analyze TD effects, items, and causes in PSE, focusing on the engineering data exchange process. We identified key use cases and TD types, i.e., TD in data models and TD in data instances, which have adverse effects on project effort, cost and duration as well as data quality.},
author = {Stefan Biffl and Fajar J Ekaputra and Arndt Lüder and Johanna-Lisa Pauly and Felix Rinker and Laura Waltersdorfer and Dietmar Winkler},
doi = {10.1109/SEAA.2019.00059},
editor = {Miroslaw Staron and Rafael Capilla and Amund Skavhaug},
isbn = {978-1-7281-3421-5},
booktitle = {45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA},
keywords = {cyber-physical production systems,data exchange,data integration,multidisciplinary engineering,production systems engineering},
pages = {342-346},
publisher = {IEEE},
title = {Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering},
url = {https://doi.org/10.1109/SEAA.2019.00059},
year = {2019},
}
  • [DOI] J. D. Fernández, F. J. Ekaputra, P. R. Aryan, A. Azzam, and E. Kiesling, “Privacy-aware Linked Widgets,” in Companion Proceedings of the World Wide Web Conference, 2019, pp. 508-514.
    [Bibtex] 
    @inproceedings{Fernandez2019d,
abstract = {The European General Data Protection Regulation (GDPR) bringsnew challenges for companies, who must demonstrate that theirsystems and business processes comply with usage constraintsspecified by data subjects. However, due to the lack of standards,tools, and best practices, many organizations struggle to adapt theirinfrastructure and processes to ensure and demonstrate that alldata processing is in compliance with users' given consent. TheSPECIAL EU H2020 project has developed vocabularies that canformally describe data subjects' given consent as well as meth-ods that use this description to automatically determine whetherprocessing of the data according to a given policy is compliantwith the given consent. Whereas this makes it possible to deter-mine whether processing was compliant or not, integration of theapproach into existing line of business applications and ex-antecompliance checking remains an open challenge. In this short paper,we demonstrate how the SPECIAL consent and compliance frame-work can be integrated into Linked Widgets, a mashup platform, inorder to support privacy-aware ad-hoc integration of personal data.The resulting environment makes it possible to create data integra-tion and processing workflows out of components that inherentlyrespect usage policies of the data that is being processed and areable to demonstrate compliance. We provide an overview of thenecessary meta data and orchestration towards a privacy-awarelinked data mashup platform that automatically respects subjects'given consents. The evaluation results show the potential of ourapproach for ex-ante usage policy compliance checking within theLinked Widgets Platforms and beyond},
author = {Javier D Fernández and Fajar J Ekaputra and Peb Ruswono Aryan and Amr Azzam and Elmar Kiesling},
city = {New York, New York, USA},
doi = {10.1145/3308560.3317591},
editor = {Sihem Amer-Yahia and Mohammad Mahdian and Ashish Goel and Geert-Jan Houben and Kristina Lerman and Julian J McAuley and Ricardo Baeza-Yates and Leila Zia},
isbn = {9781450366755},
booktitle = {Companion Proceedings of the World Wide Web Conference},
keywords = {Compliance,GDPR,Linked Data,Privacy,accepted},
pages = {508-514},
publisher = {ACM Press},
title = {Privacy-aware Linked Widgets},
url = {https://doi.org/10.1145/3308560.3317591 http://dl.acm.org/citation.cfm?doid=3308560.3317591},
year = {2019},
}
  • F. J. Ekaputra, P. R. Aryan, E. Kiesling, C. Fabianek, and E. Gringinger, “Semantic Containers for Data Mobility: A Seismic Activity Use Case,” in International Conference on Semantic Systems – SEMANTiCS, 2019.
    [Bibtex] 
    @inproceedings{Ekaputra2019,
abstract = {An enormous wealth of data is being created in our increas-ingly digitized life and economies, but the majority of this data is eitherbeing monopolized or shared for questionable purposes rather than facili-tating innovation. One of the main issues that inhibits data reuse and theemergence of vibrant data markets is the lack of standard mechanismsfor the execution of controlled transactions between data providers andconsumers, including efficient provisioning of data and associated ser-vices. Consequently, many potential data providers find it difficult toturn data into viable business models. At the same time, data consumersface challenges accessing heterogeneous data provided via various mech-anisms and have limited means to trace data provenance and ensuredata quality. Semantic Containers aim to tackle both issues by facili-tating controlled transactions through an integrated set of methods andcapabilities. Specifically, they package data, semantic descriptions, andprocessing capabilities into executable and shareable containers. In thispaper, we illustrate the concept by means of a pilot project in collabora-tion with the largest meteorological institute in Austria that illustrateshow Semantic Containers can be used to provide Seismic activity data},
author = {Fajar J Ekaputra and Peb Ruswono Aryan and Elmar Kiesling and Christoph Fabianek and Eduard Gringinger},
editor = {Mehwish Alam and Ricardo Usbeck and Tassilo Pellegrini and Harald Sack and York Sure-Vetter},
booktitle = {International Conference on Semantic Systems - SEMANTiCS},
keywords = {Data Mobility·Container·Semantic Technologies},
publisher = {CEUR-WS.org},
title = {Semantic Containers for Data Mobility: A Seismic Activity Use Case},
volume = {2451},
url = {http://ceur-ws.org/Vol-2451/paper-11.pdf},
year = {2019},
}
  • [DOI] C. D. Ciccio, F. J. Ekaputra, A. Cecconi, A. Ekelhart, and E. Kiesling, “Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies,” in Lecture Notes in Business Information Processing, 2019, pp. 60-74.
    [Bibtex] 
    @inproceedings{Ciccio2019,
abstract = {Business process compliance checking enables organisations to assess whether their processes fulfil a given set of constraints, such as regulations, laws, or guidelines. Whilst many process analysts still rely on ad-hoc, often handcrafted per-case checks, a variety of constraint languages and approaches have been developed in recent years to provide automated compliance checking. A salient example is DECLARE , a well-established declarative process specification language based on temporal logics. DECLARE specifies the behaviour of processes through temporal rules that constrain the execution of tasks. So far, however, automated compliance checking approaches typically report compliance only at the aggregate level, using binary evaluations of constraints on execution traces. Consequently, their results lack gran-ular information on violations and their context, which hampers auditability of process data for analytic and forensic purposes. To address this challenge, we propose a novel approach that leverages semantic technologies for compliance checking. Our approach proceeds in two stages. First, we translate DECLARE templates into statements in SHACL, a graph-based constraint language. Then, we evaluate the resulting constraints on the graph-based, semantic representation of process execution logs. We demonstrate the feasibility of our approach by testing its implementation on real-world event logs. Finally, we discuss its implications and future research directions.},
author = {Claudio Di Ciccio and Fajar J Ekaputra and Alessio Cecconi and Andreas Ekelhart and Elmar Kiesling},
doi = {10.1007/978-3-030-21297-1_6},
isbn = {9783030212964},
issn = {18651348},
booktitle = {Lecture Notes in Business Information Processing},
keywords = {Compliance checking,Process mining,RDF,SHACL,SPARQL},
pages = {60-74},
title = {Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies},
volume = {350},
url = {https://doi.org/10.1007/978-3-030-21297-1_6},
year = {2019},
}
  • [DOI] S. Biffl, A. Lüder, F. Rinker, L. Waltersdorfer, and D. Winkler, “Engineering data logistics for agile automation systems engineering,” in Security and Quality in Cyber-Physical Systems Engineering, Springer, 2019, pp. 187-225.
    [Bibtex] 
    @inbook{Biffl2019,
abstract = {In the parallel engineering of large and long-running automation systems, such as Production Systems Engineering (PSE) projects, engineering teams with different backgrounds work in a so-called Round-Trip Engineering (RTE) process to iteratively enrich and refine their engineering artifacts and need to exchange data efficiently to prevent the divergence of local engineering models. Unfortunately, the heterogeneity of local engineering artifacts and data, coming from several engineering disciplines, makes it hard to integrate the discipline-specific views on the data for efficient synchronization. In this chapter, we introduce the approach of Engineering Data Logistics (EDaL) to support RTE requirements and enable the efficient integration and systematic exchange of engineering data in a PSE project. We propose the concept of EDaL that analyzes efficient Engineering Data Exchange (EDEx) flows from data providers to a consumer derived from data exchange use cases. Requirements for EDEx flows are presented, e.g. the definition and semantic mapping of engineering data elements for exchange. We discuss main requirements for and design elements of an EDaL information system for automating EDaL process capabilities. We evaluate the benefit and cost of the EDEx process and concepts in a feasibility case study with requirements and data from real-world use cases at a large PSE company in comparison to a traditional manual point-to-point engineering data exchange. Results from the feasibility study indicate that the EDEx process flows may be more effective than the traditional point-to-point engineering artifact exchange and a good foundation to EDaL as foundation for more agile engineering.},
author = {Stefan Biffl and Arndt Lüder and Felix Rinker and Laura Waltersdorfer and Dietmar Winkler},
doi = {10.1007/978-3-030-25312-7_8},
booktitle = {Security and Quality in Cyber-Physical Systems Engineering},
keywords = {cyberphysical production systems,data exchange,data integration,engineering process,multidisciplinary engineering,process design,production systems engineering},
pages = {187-225},
publisher = {Springer},
title = {Engineering data logistics for agile automation systems engineering},
url = {https://doi.org/10.1007/978-3-030-25312-7_8},
year = {2019},
}
  • [DOI] S. Biffl, A. Lüder, F. Rinker, and L. Waltersdorfer, “Efficient engineering data exchange in multi-disciplinary systems engineering,” in International Conference on Advanced Information Systems Engineering, 2019, pp. 17-31.
    [Bibtex] 
    @inproceedings{Biffl2019,
abstract = {In the parallel engineering of industrial production systems, domain experts from several disciplines need to exchange data efficiently to prevent the divergence of local engineering models. However, the data synchronization is hard (a) as it may be unclear what data consumers need and (b) due to the heterogeneity of local engineering artifacts. In this paper, we introduce use cases and a process for efficient Engineering Data Exchange (EDEx) that guides the definition and semantic mapping of data elements for exchange and facilitates the frequent synchronization between domain experts. We identify main elements of an EDEx information system to automate the EDEx process. We evaluate the effectiveness and effort of the EDEx process and concepts in a feasibility case study with requirements and data from real-world use cases at a large production system engineering company. The domain experts found the EDEx process more effective and the EDEx operation more efficient than the traditional point-to-point process, and providing insight for advanced analyses.},
author = {Stefan Biffl and Arndt Lüder and Felix Rinker and Laura Waltersdorfer},
doi = {10.1007/978-3-030-21290-2_2},
isbn = {978-3-030-21290-2},
institution = {Springer},
booktitle = {International Conference on Advanced Information Systems Engineering},
keywords = {data exchange,data integration,multi-aspect information system,multidisciplinary engineering,process design,production systems engineering},
pages = {17-31},
title = {Efficient engineering data exchange in multi-disciplinary systems engineering},
url = {https://doi.org/10.1007/978-3-030-21290-2_2},
year = {2019},
}
  • A. Azzam, P. R. Aryan, A. Cecconi, C. D. Ciccio, F. J. Ekaputra, J. D. Fernández, S. Karampatakis, E. Kiesling, A. Musil, M. Sabou, and others, “The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures,” in Workshop on Cyber-Physical Social Systems co-located with the International Conference on the Internet of Things – IoT, 2019, pp. 57-64.
    [Bibtex] 
    @inproceedings{Azzam2019,
abstract = {Cyber-physical Social System (CPSS) are complex systems that span the boundaries of the cyber, physical and social spheres. They play an important role in a variety of domains ranging from industry to smart city applications. As such, these systems necessarily need to take into account, combine and make sense of heterogeneous data sources from legacy systems, from the physical layer and also the social groups that are part of/use the system. The collection, cleansing and integration of these data sources represents a major effort not only during the operation of the system, but also during its engineering and design. Indeed, while ongoing efforts are concerned primarily with the operation of such systems, limited focus has been put on supporting the engineering phase of CPSS. To address this shortcoming, within the CitySPIN project we aim to create a platform that supports stakeholders involved in the design of these systems especially in terms of support for data management. To that end, we develop methods and techniques based on Semantic Web and Linked Data technologies for the acquisition and integration of heterogeneous data from disparate structured, semi-structured and unstructured sources, including open data and social data. In this paper we present the overall system architecturewith a core focus on data acquisition and integration.We demon-strate our approach through a prototypical implementation of an adaptive planning use case for public transportation scheduling.},
author = {Amr Azzam and Peb Ruswono Aryan and Alessio Cecconi and Claudio Di Ciccio and Fajar J Ekaputra and Javier D Fernández and Sotiris Karampatakis and Elmar Kiesling and Angelika Musil and Marta Sabou and others},
editor = {Antonella Longo and Maria Fazio and Rajiv Ranjan and Marco Zappatore},
booktitle = {Workshop on Cyber-Physical Social Systems co-located with the International Conference on the Internet of Things - IoT},
keywords = {CPSS,Knowledge Graphs,Linked Data,Publict Transport,Smart City},
pages = {57-64},
publisher = {CEUR-WS.org},
title = {The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures},
volume = {2530},
url = {http://ceur-ws.org/Vol-2530/paper8.pdf},
year = {2019},
}
  • K. Kurniawan, A. Ekelhart, E. Kiesling, A. Froschl, and F. J. Ekaputra, “Semantic Integration and Monitoring of File System Activity,” in International Conference on Semantic Systems – SEMANTiCS, 2019.
    [Bibtex] 
    @inproceedings{Kurniawan2019,
abstract = {File access activity information is an important source for identifying unauthorized data transmissions. In this paper, we present a semantic approach for the monitoring of file system activity in the context of information security. We thereby tackle limitations of existing monitoring approaches in terms of semantic integration, contextu-alization, and cross-system interoperability. In particular, we present a vocabulary for file activity logs and outline an architecture for log file collection, extraction, linking, and storage. We demonstrate the applicability of this approach by means of an application scenario. Finally, we show how analysts can inspect the life-cycle of files in a context-rich manner by means of SPARQL queries and a graph visualization of the results.},
author = {Kabul Kurniawan and Andreas Ekelhart and Elmar Kiesling and Agnes Froschl and Fajar J Ekaputra},
editor = {Mehwish Alam and Ricardo Usbeck and Tassilo Pellegrini and Harald Sack and York Sure-Vetter},
booktitle = {International Conference on Semantic Systems - SEMANTiCS},
publisher = {CEUR-WS.org},
title = {Semantic Integration and Monitoring of File System Activity},
volume = {2451},
url = {http://ceur-ws.org/Vol-2451/paper-17.pdf},
year = {2019},
}
  • [DOI] F. Rinker, L. Waltersdorfer, K. Meixner, and S. Biffl, “Towards Support of Global Views on Common Concepts employing Local Views,” in IEEE International Conference on Emerging Technologies and Factory Automation – ETFA, 2019, pp. 1686-1689.
    [Bibtex] 
    @inproceedings{Rinker2019,
abstract = {Multi-disciplinary data exchange still poses many challenges: Heterogeneous data sources, diverging data views, and lack of communication lead to defects, late resolving of errors, and mismatches over the project lifecycle. Semantic approaches such as ontologies are a viable solution to derive common concepts between disciplines to limit negative effects in their collaboration. However, the application of these semantic approaches is still quite limited due to its inherent complexity. The purpose of this paper, is to discuss the concept of local glossaries as a step towards a Common Concept Glossary (CCG) method: A tool-supported method to enable and simplify the creation of common concepts derived from local glossaries that are built by discipline-specific workgroups. The local concepts can aid by making changes visible and enabling traceability and maintainability of common models between different disciplines.},
author = {Felix Rinker and Laura Waltersdorfer and Kristof Meixner and Stefan Biffl},
doi = {10.1109/ETFA.2019.8869239},
isbn = {978-1-7281-0303-7},
issn = {1946-0759},
institution = {IEEE},
booktitle = {IEEE International Conference on Emerging Technologies and Factory Automation - ETFA},
keywords = {Companies,Semantics,Standards organizations,Terminology,Tools},
pages = {1686-1689},
title = {Towards Support of Global Views on Common Concepts employing Local Views},
url = {https://doi.org/10.1109/ETFA.2019.8869239},
year = {2019},
}
  • [DOI] S. Biffl, A. Lüder, F. Rinker, L. Waltersdorfer, and D. Winkler, “Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering,” in IEEE International Conference on Industrial Informatics – INDIN, 2019, pp. 1217-1224.
    [Bibtex] 
    @inproceedings{Biffl2019,
abstract = {The realization of a cyber-physical production system (CPPS) requires suitable methods and tools for the exchange and integration of engineering data between collaborating disciplines. Unfortunately, the description languages used in a CPPS Engineering (CPPSE) organization to describe discipline-specific views are not necessarily well suited for high-quality data exchange between workgroups. In this paper, we identify technical debt and risks regarding CPPSE description languages for data exchange using the VDI 3695 guideline as best practice. We report on effects and likely causes of the quality risks identified in a case study at a large CPPSE company. Based on data from workshops and semi-structured interviews with 28 domain experts from 12 workgroups, we propose a preliminary model relating causes and effects as foundation for analyzing and managing risks in the CPPSE data exchange process.},
author = {Stefan Biffl and Arndt Lüder and Felix Rinker and Laura Waltersdorfer and Dietmar Winkler},
doi = {10.1109/INDIN41052.2019.8972322},
isbn = {978-1-7281-2927-3},
issn = {2378-363X},
institution = {IEEE},
booktitle = {IEEE International Conference on Industrial Informatics - INDIN},
keywords = {cyber-physical production system,data exchange,data integration,multidisciplinary engineering,production systems engineering,technical debt in data},
pages = {1217-1224},
title = {Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering},
volume = {1},
url = {https://doi.org/10.1109/INDIN41052.2019.8972322},
year = {2019},
}

2018

  • [DOI] M. Sabou, L. Aroyo, K. Bontcheva, A. Bozzon, and R. K. Qarout, “Semantic Web and Human Computation: The status of an emerging field,” Semantic Web, vol. 9, pp. 291-302, 2018.
    [Bibtex] 
    @article{Sabou2018c,
abstract = {This editorial paper introduces a special issue that solicited papers at the intersection of Semantic Web and Human Compu-tation research. Research in that inter-disciplinary space dates back a decade, and has been acknowledged as a research line of its own by a seminal research manifesto published in 2015. But where do we stand in 2018? How did this research line evolve during the last decade? How do the papers in this special issue align with the main lines of work of the community? In this editorial we inspect and reflect on the evolution of research at the intersection of Semantic Web and Human Computation. We use a methodology based on Systematic Mapping Studies to collect quantitative bibliographic data which we analyze through the lens of research topics envisioned by the research manifesto to characterize the evolution of research in this area, thus providing a context for introducing the papers of this special issue. We found evidences of a thriving research field; while steadily maturing, the field offers a number of open research opportunities for work where Semantic Web best practices and techniques are applied to support and improve the state-of-the-art in Human Computation, but also for work that exploits the strength of both areas to address scientifically and societally relevant issues.},
author = {Marta Sabou and Lora Aroyo and Kalina Bontcheva and Alessandro Bozzon and Rehab K Qarout},
doi = {10.3233/SW-180292},
issn = {22104968},
issue = {3},
journal = {Semantic Web},
month = {4},
pages = {291-302},
title = {Semantic Web and Human Computation: The status of an emerging field},
volume = {9},
url = {https://doi.org/10.3233/SW-180292},
year = {2018},
}
  • B. Mörzinger, M. Sabou, F. J. Ekaputra, and N. Sindelar, “Improving Simulations-based Industrial Optimization with Semantic Web Technologies,” in International Conference on Semantic Systems – SEMANTiCS, 2018.
    [Bibtex] 
    @inproceedings{DBLP:conf/i-semantics/MorzingerSES18,
abstract = {Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG. Monitoring data stored in relational databases was used to build process models of industrial chillers. Optimization algorithms were then applied to find optimal strategies for operating the chillers. Even though the results from this approach were convincing, the access to the necessary data was a labor-intensive and error-prone task. Therefore, in this paper, we investigate how Semantic Web technologies can help to improve data access for time-series data and under which circumstances they would be helpful for the domain experts performing the simulation.},
author = {Benjamin Mörzinger and Marta Sabou and Fajar J Ekaputra and Nikolaus Sindelar},
editor = {Ali Khalili and Maria Koutraki},
issn = {16130073},
booktitle = {International Conference on Semantic Systems - SEMANTiCS},
keywords = {Manufacturing,Ontology-based data access,Simulation},
publisher = {CEUR-WS.org},
title = {Improving Simulations-based Industrial Optimization with Semantic Web Technologies},
volume = {2198},
url = {https://ceur-ws.org/Vol-2198/paper_113.pdf},
year = {2018},
}
  • [DOI] D. Winkler, M. Kalinowski, M. Sabou, S. Petrovic, and S. Biffl, “Investigating a Distributed and Scalable Model Review Process,” CLEI ELECTRONIC JOURNAL, vol. 21, 2018.
    [Bibtex] 
    @article{DBLP:journals/cleiej/0001KSPB18,
abstract = {[Context] Models play an important role in Software and Systems Engineering processes. Reviews are well-established methods for model quality assurance that support early and efficient defect detection. However, traditional document-based review processes have limitations with respect to the number of experts, resources, and the document size that can be applied. [Objective] In this paper, we introduce a distributed and scalable review process for model quality assurance to (a) improve defect detection effectiveness and (b) to increase review artifact coverage. [Method] We introduce the novel concept of Expected Model Elements (EMEs) as a key concept for defect detection. EMEs can be used to drive the review process. We adapt a best-practice review process to distinguish (a) between the identification of EMEs in the reference document and (b) the use of EMEs to detect defects in the model. We design and evaluate the adapted review process with a crowdsourcing tool in a feasibility study. [Results] The study results show the feasibility of the adapted review process. Further, the study showed that inspectors using the adapted review process achieved results for defect detection effectiveness, which are comparable to the performance of inspectors using a traditional inspection process, and better defect detection efficiency. Moreover, from a practical perspective the adapted review process can be used to complement inspection efforts conducted using the traditional inspection process, enhancing the overall defect detection effectiveness. [Conclusions] Although the study shows promising results of the novel process, future investigations should consider larger and more diverse review artifacts and the effect of using limited and different scopes of artifact coverage for individual inspectors.},
author = {Dietmar Winkler and Marcos Kalinowski and Marta Sabou and Sanja Petrovic and Stefan Biffl},
doi = {10.19153/cleiej.21.1.4},
issue = {1},
journal = {CLEI ELECTRONIC JOURNAL},
keywords = {Controlled Experiment,Crowdsourcing,Feasibility Study,Inspection,Model Quality Assurance,Models,Review},
title = {Investigating a Distributed and Scalable Model Review Process},
volume = {21},
url = {https://doi.org/10.19153/cleiej.21.1.4},
year = {2018},
}
  • [DOI] M. Sabou, D. Winkler, and S. Petrovic, “Expert Sourcing to Support the Identification of Model Elements in System Descriptions,” in SWQD 2018: Software Quality: Methods and Tools for Better Software and Systems, 2018, pp. 83-99.
    [Bibtex] 
    @inproceedings{Sabou2018a,
abstract = {[Context] Expertsourcing is a novel approach to model quality assurance: it relies on methods and tooling from crowdsourcing research to split the task of model quality assurance and parallelize its execution across several expert-users. Concretely, given a text-based system description and a corresponding model such as an EER diagram, experts are guided towards inspecting the model based on so-called expected model elements (EMEs). EMEs are entities, attributes and relations that appear in text and are reflected by the corresponding model. Therefore, EMEs play a crucial role in splitting up the model quality assurance task among experts. [Objective \{\&\} Method] In this paper, we investigate the effectiveness of identifying the EMEs themselves through expertsourcing. To that end, we perform a feasibility study in which we compare EMEs identified through expertsourcing with EMEs provided by a task owner who has a deep knowledge of the entire system specification text. [Conclusions] Results of the data analysis show that the effectiveness of the crowdsourcing- style EME acquisition is influenced by the complexity of these EMEs: entity EMEs can be harvested with high recall and precision, but the lexical and semantic variations of attribute EMEs hamper their automatic aggregation and reaching consensus (these EMEs are harvested with high precisions but limited recall). Based on these lessons learned we propose a new task design for expertsourcing EMEs.},
author = {Marta Sabou and Dietmar Winkler and Sanja Petrovic},
doi = {10.1007/978-3-319-71440-0_5},
booktitle = {SWQD 2018: Software Quality: Methods and Tools for Better Software and Systems},
keywords = {published},
pages = {83-99},
title = {Expert Sourcing to Support the Identification of Model Elements in System Descriptions},
url = {https://doi.org/10.1007/978-3-319-71440-0_5},
year = {2018},
}
  • [DOI] K. Kurniawan, F. J. Ekaputra, and P. R. Aryan, “Semantic Service Description and Compositions: A Systematic Literature Review,” in Conference on Informatics and Computational Sciences – ICICoS, 2018, pp. 1-6.
    [Bibtex] 
    @inproceedings{Kurniawan2018,
abstract = {For decades, researchers and practitioners develop various approaches such as Web Service technologies (e.g., UDDI, WSDL, SOAP) to address application integration problems. In particular, Web Service composition methods can solve complex service integrations. However, in highly dynamic environments, these manual service compositions still requires a lot of effort. To address this challenge, researchers have recently introduced semantic web service composition methods. The growing interest in this topic of semantic web service composition has led to an increasing number of approaches, which has not been systematically surveyed so far. Researchers have reported several surveys in the related areas such as web service composition or semantic web service search. However, to the best of our knowledge, none of them provides a survey about these semantic web service compositions in particular. Hence, this review aims to address this issue by identifying existing efforts on semantic web service compositions. The survey focuses on two aspects (i) semantic web service description, as it is an essential aspect for semantic service composition, (ii) semantic web service composition, to identify methods and their implementations on the real world problem.},
author = {Kabul Kurniawan and Fajar J Ekaputra and Peb R Aryan},
city = {Semarang, Indonesia, Indonesia},
doi = {10.1109/ICICOS.2018.8621686},
isbn = {978-1-5386-7440-6},
booktitle = {Conference on Informatics and Computational Sciences - ICICoS},
keywords = {semantic APIs,semantic service composition,semantic service description,semantic web services},
month = {10},
pages = {1-6},
publisher = {IEEE},
title = {Semantic Service Description and Compositions: A Systematic Literature Review},
url = {https://doi.org/10.1109/ICICOS.2018.8621686},
year = {2018},
}
  • A. Revenko, M. Sabou, A. Ahmeti, and M. Schauer, “Crowd-Sourced Knowledge Graph Extension: A Belief Revision Based Approach,” in HCOMP in AAAI Conference on Human Computation and Crowdsourcing, 2018.
    [Bibtex] 
    @inproceedings{DBLP:conf/hcomp/RevenkoSAS18,
abstract = {Knowledge graphs are gaining popularity as key ingredients of many advanced applications. Some are created by experts covering specific fields. However, for many applications there is a need of having the common sense knowledge that is not domain specific, and, therefore, can be provided by nonexperts. In this paper we introduce a novel crowd-sourcing approach that allows the user to provide their update in a simplistic intuitive form without having the information about the knowledge already contained in the graph. The approach roots in belief revision theory and is capable of analyzing the user input, identifying the compliance with the existing structure and singling out new suggestions. When providing the update and upon submission the users obtain intuitive colorcoded feedback on their input w.r.t. to consistency and discrepancies with the existing knowledge. This feedback enables the educational aspect of the approach. The approach guarantees the consistency of the crowd-sourced knowledge when it is being integrated into the knowledge graph.},
author = {Artem Revenko and Marta Sabou and Albin Ahmeti and Martin Schauer},
editor = {Alessandro Bozzon and Matteo Venanzi},
isbn = {978-1-57735-799-5},
booktitle = {HCOMP in AAAI Conference on Human Computation and Crowdsourcing},
publisher = {CEUR-WS.org},
title = {Crowd-Sourced Knowledge Graph Extension: A Belief Revision Based Approach},
volume = {2173},
url = {http://ceur-ws.org/Vol-2173/paper4.pdf},
year = {2018},
}
  • A. Ahmeti, V. Mireles, A. Revenko, M. Sabou, and M. Schauer, “Crowd-sourcing Updates of Large Knowledge Graphs,” in Workshop on Augmenting Intelligence with Humans-in-the-Loop co-located with ISWC, 2018, pp. 1-6.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/AhmetiMRSS18,
author = {Albin Ahmeti and V$\backslash$'$\backslash$ictor Mireles and Artem Revenko and Marta Sabou and Martin Schauer},
editor = {Anna Lisa Gentile and Lora Aroyo and Gianluca Demartini and Chris Welty},
booktitle = {Workshop on Augmenting Intelligence with Humans-in-the-Loop co-located with ISWC},
pages = {1-6},
publisher = {CEUR-WS.org},
title = {Crowd-sourcing Updates of Large Knowledge Graphs},
volume = {2169},
url = {http://ceur-ws.org/Vol-2169/paper-01.pdf},
year = {2018},
}
  • [DOI] M. Sabou, D. Winkler, P. Penzerstadler, and S. Biffl, “Verifying Conceptual Domain Models with Human Computation : A Case Study in Software Engineering,” in AAAI Conference on Human Computation and Crowdsourcing, 2018, pp. 164-173.
    [Bibtex] 
    @inproceedings{Sabou2018b,
abstract = {Conceptual domain models, such as taxonomies, knowledge graphs or Extended Entity Relationship (EER) diagrams are coretoallinformationsystems.Thetaskofverifyingthecorrectness of these models is of high interest to the knowledge and software engineering communities and attracted the first solution approaches using human computation. Yet, since these solutions are published within the boundaries of their communities, there is a lack of concerted work on this topic. As a first step to alleviate this status quo, we formalize the problem of verifying conceptual models and propose a generic approach (VeriCoM) to solve it with human computation techniques. We show how VeriCoM was applied in a software engineering use case focusing on verifying the correctness of an EER diagram against a system specification document. An evaluation of VeriCoM in a series of four workshops within one controlled experiment performed with a crowd of semi-experts lead to the identification of a set of defects with precision of 73\{\%\} and a recall from a Gold Standard defect set of 63\{\%\}.},
author = {Marta Sabou and Dietmar Winkler and Peter Penzerstadler and Stefan Biffl},
city = {Zurich, Switzerland},
doi = {10.1609/hcomp.v6i1.13325},
isbn = {978-1-57735-799-5},
booktitle = {AAAI Conference on Human Computation and Crowdsourcing},
keywords = {Technical Papers,published},
pages = {164-173},
title = {Verifying Conceptual Domain Models with Human Computation : A Case Study in Software Engineering},
url = {https://doi.org/10.1609/hcomp.v6i1.13325},
year = {2018},
}
  • [DOI] F. J. Ekaputra, “Ontology-Based Data Integration and Knowledge Change Management in Multi-Disciplinary Engineering Environments,” , pp. 1-136, 2018.
    [Bibtex] 
    @article{Ekaputra2018,
abstract = {The recent developments in the engineering domain, often associated with the German term “Industrie 4.0”, require more flexible production systems. Such modern production systems are typically designed in Multi-Disciplinary Engineering Environments (MDEEs), where stakeholders from diverse engineering disciplines need to integrate data from heterogeneous data sources and manage changes within the integrated data sources, so that changes in one dataset are reflected in other relevant data sources. MDEEs, therefore, strongly rely on data integration across various stakeholders and engineering disciplines. Semantic Web Technologies support data integration using Ontology-Based Data Integration (OBDI) approaches, which, on their term are a prerequisite to support knowledge change management in MDEEs. Three variants of OBDI approaches have been proposed: single-ontology, multipleontology, and hybrid approaches. However, this classification is deemed too generic for understanding which approaches are most suitable in MDEEs. A first challenge, on the one hand, consists in understanding the suitability of OBDI approach variants for diverse MDEE scenarios and considering potential extensions thereof. On the other hand, since the topic of knowledge change management has been primarily investigated for single-ontology OBDI approaches, a second challenge therefore consists in providing knowledge change management techniques that are also applicable for more complex OBDI approaches (e.g., hybrid approaches). To address the first challenge, in this thesis, we evaluate the feasibility and suitability of OBDI approaches for diverse MDEE use cases. We propose a new OBDI variant called Global-as-View OBDI and distill criteria for classifying OBDI variants that allow for their informed selection for use in diverse MDEE scenarios. Our second line of work addresses the gap in supporting knowledge change management in complex OBDI variants. To that end, we define a set of knowledge change management requirements for complex OBDI in MDEE based on use cases from the engineering domain. Based on these requirements, we develop a generic, technology-agnostic framework of knowledge change management for hybrid and Global-as-View OBDI scenarios. To evaluate our approach, we instantiate the reference framework as a research prototype and conduct an initial feasibility study. The main outputs of the thesis are: (1) a systematic literature review on OBDI applications in MDEE, based on which we propose a new OBDI variant and guidelines for the selection of OBDI variants based on application context characteristics; (2) the evaluation of the OBDI selection guidelines to design concrete prototypes of OBDI applications for tackling two use cases in MDEEs; and (3) the definition of a generic knowledge change management framework for MDEEs and its feasibility evaluation.},
author = {Fajar J Ekaputra},
doi = {10.34726/hss.2018.58664},
institution = {TU Wien},
keywords = {data integration,industry 4.0,knowledge change management,ontology},
pages = {1-136},
title = {Ontology-Based Data Integration and Knowledge Change Management in Multi-Disciplinary Engineering Environments},
url = {https://doi.org/10.34726/hss.2018.58664},
year = {2018},
}
  • [DOI] M. Sabou, F. J. Ekaputra, T. Ionescu, J. Musil, D. Schall, K. Haller, A. Friedl, and S. Biffl, “Exploring Enterprise Knowledge Graphs : a Use Case in Software Engineering,” in Extended Semantic Web Conference (ESWC), 2018.
    [Bibtex] 
    @inproceedings{Sabou2018,
abstract = {When reusing software architectural knowledge, such as design patterns or design decisions, software architects need support for exploring architectural knowledge collections, e.g., for finding related items. While semantic-based architectural knowledge management tools are limited to supporting lookup-based tasks through faceted search and fall short of enabling exploration, semantic-based exploratory search systems primarily focus on web-scale knowledge graphs without having been adapted to enterprise-scale knowledge graphs (EKG). We investigate how and to what extent exploratory search can be supported on EKGs of architectural knowledge. We propose an approach for building exploratory search systems on EKGs and demonstrate its use within Siemens, which resulted in the STAR system used in practice by 200–300 software architects. We found that the EKG's ontology allows making previously implicit organisational knowledge explicit and this knowledge informs the design of suitable relatedness metrics to support exploration. Yet, the performance of these metrics heavily depends on the characteristics of the EKG's data. Therefore both statistical and user-based evaluations can be used to select the right metric before system implementation.},
author = {Marta Sabou and Fajar J Ekaputra and Tudor Ionescu and Juergen Musil and Daniel Schall and Kevin Haller and Armin Friedl and Stefan Biffl},
doi = {10.1007/978-3-319-93417-4_36},
isbn = {978-3-319-93417-4},
booktitle = {Extended Semantic Web Conference (ESWC)},
keywords = {Enterprise knowledge graph,Exploratory search,Software architectural knowledge,Software engineering},
title = {Exploring Enterprise Knowledge Graphs : a Use Case in Software Engineering},
url = {https://doi.org/10.1007/978-3-319-93417-4_36},
year = {2018},
}

2017

  • [DOI] M. Sabou, F. J. Ekaputra, and S. Biffl, “Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering,” in Multi-Disciplinary Engineering for Cyber-Physical Production Systems, S. Biffl, D. Gerhard, and A. Lüder, Eds., , 2017, pp. 301-329.
    [Bibtex] 
    @inbook{Sabou2017Semantic,
abstract = {A key requirement in supporting the work of engineers involved in the design of Cyber-Physical Production Systems (CPPS) is offering tools that can deal with engineering data produced across the various involved engineering disciplines. Such data is created by different discipline-specific tools and is represented in tool-specific data models. Therefore, due to this data heterogeneity, it is challenging to coordinate activities that require project-level data access. Semantic Web technologies (SWTs) provide solutions for integrating and making sense of heterogeneous data sets and as such are a good solution candidate for solving data integration challenges in multi-disciplinary engineering (MDE) processes specific for the engineering of cyber-physical as well as traditional production systems. In this chapter, we investigate how SWTs can support multi-disciplinary engineering processes in CPPS. Based on CPPS engineering use cases, we discuss typical needs for intelligent data integration and access, and show how these needs can be addressed by SWTs and tools. For this, we draw on our own experiences in building Semantic Web solutions in engineering environments.},
author = {Marta Sabou and Fajar J Ekaputra and Stefan Biffl},
doi = {10.1007/978-3-319-56345-9_12},
editor = {Stefan Biffl and Detlef Gerhard and Arndt Lüder},
isbn = {9780262527811},
booktitle = {Multi-Disciplinary Engineering for Cyber-Physical Production Systems},
keywords = {Data integration,Linked data,Multi-disciplinary engineering,Ontology-based information integration,Semantic Web},
pages = {301-329},
title = {Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering},
url = {https://doi.org/10.1007/978-3-319-56345-9_12},
year = {2017},
}
  • [DOI] J. Musil, F. J. Ekaputra, M. Sabou, T. Ionescu, D. Schall, A. Musil, and S. Biffl, “Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations,” in IEEE International Conference on Software Architecture, ICSA, 2017, pp. 189-192.
    [Bibtex] 
    @inproceedings{Musil2017Continuous,
abstract = {The timely discovery, sharing and integration of architectural knowledge (AK) have become critical aspects in enabling the software architects to make meaningful conceptual and technical design decisions and trade-offs. In large-scale organizations particular obstacles in making AK available to architects are a heterogeneous pool of internal and external knowledge sources, poor interoperability between AK management tools and limited support of computational AK reasoning. Therefore we introduce the Continuous Architectural Knowledge Integration (CAKI) approach that combines the continuous integration of internal and external AK sources together with enhanced semantic reasoning and personalization capabilities dedicated to large organizations. Preliminary evaluation results show that CAKI potentially reduces AK search effort by concurrently yielding more diverse and relevant results.},
author = {Juergen Musil and Fajar J Ekaputra and Marta Sabou and Tudor Ionescu and Daniel Schall and Angelika Musil and Stefan Biffl},
doi = {10.1109/ICSA.2017.28},
isbn = {9781509057290},
booktitle = {IEEE International Conference on Software Architecture, ICSA},
keywords = {Architectural knowledge management,continuous software architecture,semantic integration},
pages = {189-192},
title = {Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations},
url = {https://doi.org/10.1109/ICSA.2017.28},
year = {2017},
}
  • [DOI] A. M. P. Brasoveanu, M. Sabou, A. Scharl, A. Hubmann-Haidvogel, and D. Fischl, “Visualizing statistical linked knowledge for decision support,” Semantic Web, vol. 8, pp. 113-137, 2017.
    [Bibtex] 
    @article{DBLP:journals/semweb/BrasoveanuSSHF17,
abstract = {In a global and interconnected economy, decision makers often need to consider information from various domains. A tourism destination manager, for example, has to correlate tourist behavior with financial and environmental indicators to allocate funds for strategic long-term investments. Statistical data underpins a broad range of such cross-domain decision tasks. A variety of statistical datasets are available as Linked Open Data, often incorporated into visual analytics solutions to support decision making. What are the principles, architectures, workflows and implementation design patterns that should be followed for building such visual cross-domain decision support systems. This article introduces a methodology to integrate and visualize cross-domain statistical data sources by applying selected RDF Data Cube (QB) principles. A visual dashboard built according to this methodology is presented and evaluated in the context of two use cases in the tourism and telecommunications domains.},
author = {Adrian M P Brasoveanu and Marta Sabou and Arno Scharl and Alexander Hubmann-Haidvogel and Daniel Fischl},
doi = {10.3233/SW-160225},
issue = {1},
journal = {Semantic Web},
keywords = {Decision Support Systems,Linked Data,RDF Data Cube,data analytics,information visualization},
pages = {113-137},
title = {Visualizing statistical linked knowledge for decision support},
volume = {8},
url = {https://doi.org/10.3233/SW-160225},
year = {2017},
}
  • A. Ahmeti, S. Bala, F. J. Ekaputra, J. D. Fernández, E. Kiesling, A. Koller, J. Mendling, A. Musil, A. Polleres, P. R. Aryan, M. Sabou, A. Solti, and J. Musil, “CitySPIN: Cyber-Physical Social Systems for City-wide Infrastructures,” in 13th International Conference on Semantic Systems, 2017.
    [Bibtex] 
    @inproceedings{Ahmeti2017CitySPIN,
author = {Albin Ahmeti and Saimir Bala and Fajar J Ekaputra and Javier D Fernández and Elmar Kiesling and Andreas Koller and Jan Mendling and Angelika Musil and Axel Polleres and Peb R Aryan and Marta Sabou and Andreas Solti and Juergen Musil},
booktitle = {13th International Conference on Semantic Systems},
title = {CitySPIN: Cyber-Physical Social Systems for City-wide Infrastructures},
url = {https://ceur-ws.org/Vol-2044/paper21/paper21.pdf},
year = {2017},
}
  • F. J. Ekaputra, M. Sabou, E. Serral, E. Kiesling, and S. Biffl, “Ontology-Based Data Integration in Multi-Disciplinary Engineering Environments: A Review,” Open Journal of Information Systems (OJIS), vol. 4, pp. 1-26, 2017.
    [Bibtex] 
    @article{OJIS_Ekaputra_2017,
abstract = {Today's industrial production plants are complex mechatronic systems. In the course of the production plant lifecycle, engineers from a variety of disciplines (e.g., mechanics, electronics, automation) need to collaborate in multi-disciplinary settings that are characterized by heterogeneity in terminology, methods, and tools. This collaboration yields a variety of engineering artifacts that need to be linked and integrated, which on the technical level is reflected in the need to integrate heterogeneous data. Semantic Web technologies, in particular ontology-based data integration (OBDI), are promising to tackle this challenge that has attracted strong interest from the engineering research community. This interest has resulted in a growing body of literature that is dispersed across the Semantic Web and Automation System Engineering research communities and has not been systematically reviewed so far. We address this gap with a survey reflecting on OBDI applications in the context of Multi-Disciplinary Engineering Environment (MDEE). To this end, we analyze and compare 23 OBDI applications from both the Semantic Web and the Automation System Engineering research communities. Based on this analysis, we (i) categorize OBDI variants used in MDEE, (ii) identify key problem context characteristics, (iii) compare strengths and limitations of OBDI variants as a function of problem context, and (iv) provide recommendation guidelines for the selection of OBDI variants and technologies for OBDI in MDEE.},
author = {Fajar J Ekaputra and Marta Sabou and Estefanía Serral and Elmar Kiesling and Stefan Biffl},
issue = {1},
journal = {Open Journal of Information Systems (OJIS)},
pages = {1-26},
publisher = {RonPub},
title = {Ontology-Based Data Integration in Multi-Disciplinary Engineering Environments: A Review},
volume = {4},
url = {http://rebrand.ly/v5k2x9},
year = {2017},
}
  • [DOI] D. Winkler, M. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, and S. Biffl, “Improving Model Inspection Processes with Crowdsourcing: Findings from a Controlled Experiment,” in Systems, Software and Services Process Improvement – 24th European Conference, EuroSPI, 2017, pp. 125-137.
    [Bibtex] 
    @inproceedings{DBLP:conf/eurospi/WinklerSPCKB17,
author = {Dietmar Winkler and Marta Sabou and Sanja Petrovic and Gisele Carneiro and Marcos Kalinowski and Stefan Biffl},
doi = {10.1007/978-3-319-64218-5_10},
editor = {Jakub Stolfa and Svatopluk Stolfa and Rory V O'Connor and Richard Messnarz},
booktitle = {Systems, Software and Services Process Improvement - 24th European Conference, EuroSPI},
pages = {125-137},
publisher = {Springer},
title = {Improving Model Inspection Processes with Crowdsourcing: Findings from a Controlled Experiment},
volume = {748},
url = {https://doi.org/10.1007/978-3-319-64218-5_10},
year = {2017},
}
  • D. Winkler, M. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, and S. Biffl, “Investigating Model Quality Assurance with a Distributed ad Scalable Inspection Process,” in Proceedings of the XX Iberoamerican Conference on Software Engineering, 2017, pp. 637-650.
    [Bibtex] 
    @inproceedings{DBLP:conf/cibse/WinklerSPCKB17,
abstract = {Models play an important role in Software and Systems Engineering processes. Reviews are well-established methods for model quality assurance that support early and efficient defect detection. However, traditional document-based review processes have limitations with respect to the number of experts, resources, and the document size that can be applied. [Objective] In this paper, we introduce a distributed and scalable review process for model quality assurance to (a) improve defect detection effectiveness and (b) to increase review artifact coverage. [Method] We introduce the novel concept of Expected Model Elements (EMEs) as a key concept for defect detection. EMEs can be used to drive the review process. We adapt a best-practice review process to distinguish (a) between the identification of EMEs in the reference document and (b) the use of EMEs to detect defects in the model. We design and evaluate the adapted review process with a crowdsourcing tool in a feasibility study. [Results] The study results show the feasibility of the adapted review process. Further, the study showed that inspectors using the adapted review process achieved results for defect detection effectiveness, which are comparable to the performance of inspectors using a traditional inspection process, and better defect detection efficiency [Conclusions] Although the study shows promising results of the novel inspection process, future investigations should consider larger and more diverse review artifacts and the effect of the limited scope of artifact coverage for an individual inspector.},
author = {Dietmar Winkler and Marta Sabou and Sanja Petrovic and Gisele Carneiro and Marcos Kalinowski and Stefan Biffl},
editor = {Oscar Pastor and Renata S S Guizzardi and Gladys Noem$\backslash$'$\backslash$i Kaplan and Jesús Garc$\backslash$'$\backslash$ia Molina and Ana Moreira and Isabel Sofia Brito and Jose Luis de la Vara and Marcela Genero and Fabio Q B da Silva and Luca Cernuzzi},
isbn = {978-987-3806-98-8},
booktitle = {Proceedings of the XX Iberoamerican Conference on Software Engineering},
keywords = {Empirical Study,Feasibility Study.,Model Quality Assurance,Models,Review},
pages = {637-650},
publisher = {Curran Associates},
title = {Investigating Model Quality Assurance with a Distributed ad Scalable Inspection Process},
year = {2017},
}
  • [DOI] P. R. Aryan, F. J. Ekaputra, E. Kiesling, M. A. Tjoa, and K. Kurniawan, “RMLx: Mapping interface for integrating open data with linked data exploration environment,” in 1st International Conference on Informatics and Computational Sciences (ICICoS), 2017, pp. 113-118.
    [Bibtex] 
    @inproceedings{Aryan2017,
abstract = {Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way. However, considerable amount of data in open data portals remain inaccessible as linked data. This is due to the nature of data portals having large number of small-size dataset which makes writing mapping description becomes tedious and error-prone. Moreover, these data sources requires additional preprocessing before To solve this challenge, We introduce extensions to RML to support required tasks and developed RMLx, a visual web-interface to create RML mappings. Using this interface, the process of creating mapping description can become faster and less error-prone. Furthermore, the process of linked data generation can be wrapped as to enable integration with other data in a linked data exploration environment. We explore on four different use cases to identify the requirements followed by describing how these are solved.},
author = {Peb R Aryan and Fajar J Ekaputra and Elmar Kiesling and A Min Tjoa and Kabul Kurniawan},
doi = {10.1109/ICICOS.2017.8276347},
isbn = {978-1-5386-0903-3},
booktitle = {1st International Conference on Informatics and Computational Sciences (ICICoS)},
month = {11},
pages = {113-118},
publisher = {IEEE},
title = {RMLx: Mapping interface for integrating open data with linked data exploration environment},
url = {http://ieeexplore.ieee.org/document/8276347/},
year = {2017},
}
  • [DOI] T. Trinh, P. R. Aryan, B. Do, F. J. Ekaputra, E. Kiesling, A. Rauber, P. Wetz, and M. A. Tjoa, “Linked data processing provenance: towards transparent and reusable linked data integration,” in Proceedings of the International Conference on Web Intelligence, 2017, pp. 88-96.
    [Bibtex] 
    @inproceedings{DBLP:conf/webi/TrinhADEKRWT17,
abstract = {The growth of Linked Data has created a promising environment for data exploration and a growing number of tools allow users to interactively integrate data from various sources. Eliciting the reliability of the results of such ad-hoc integration processes, consistently recreating those results, and identifying changes upon re-execution, however, can be difficult. Automated process provenance trail creation can provide major benefits in this context, because (i) it enables users to trace the contribution of individual sources and processing steps to the final outcome and judge whether the result can be trusted; (ii) it ensures repeatability and raises the trustworthiness of results; (iii) it ideally enables reconstruction of Linked Data integration processes from the provenance information embedded in the final result. In this paper, we present a provenance model that facilitates automatic generation of semantic provenance information for generic Linked Data integration processes. We implement the generic model in a collaborative mashup environment and evaluate it by means of an example application. We find that the model provides a solid foundation for verifiability and contributes towards making Linked Data integration processes more open, transparent, and reusable, which is crucial in domains where the origin of data is essential, such as, for instance, statistical analyses, scientific research, and data journalism.},
author = {Tuan-Dat Trinh and Peb Ruswono Aryan and Ba-Lam Do and Fajar J Ekaputra and Elmar Kiesling and Andreas Rauber and Peter Wetz and A Min Tjoa},
doi = {10.1145/3106426.3106495},
editor = {Amit P Sheth and Axel Ngonga and Yin Wang and Elizabeth Chang and Dominik Slezak and Bogdan Franczyk and Rainer Alt and Xiaohui Tao and Rainer Unland},
booktitle = {Proceedings of the International Conference on Web Intelligence},
pages = {88-96},
publisher = {ACM},
title = {Linked data processing provenance: towards transparent and reusable linked data integration},
url = {https://doi.org/10.1145/3106426.3106495},
year = {2017},
}
  • [DOI] D. Winkler, M. Sabou, S. Petrovic, G. Carneiro, M. Kalinowski, and S. Biffl, “Improving Model Inspection with Crowdsourcing,” in The 4th International Workshop on Crowdsourcing in Software Engineering, 2017.
    [Bibtex] 
    @inproceedings{Winkler2017,
abstract = {Traditional Software Inspection is a well-established approach to identify defects in software artifacts and models early and efficiently. However, insufficient method and tool support hinder efficient defect detection in large software models. Recent Human Computation and Crowdsourcing processes may help to overcome this limitation by splitting complex inspection artifacts into smaller parts including a better control over defect detection tasks and increasing the scalability of inspection tasks. Therefore, we introduce a Crowdsourcing-Based Inspection (CSI) process with tool support with focus on inspection teams and the quality of defect detection. We evaluate the CSI process in a feasibility study involving 63 inspectors using the CSI process and 12 inspectors using a traditional best-practice inspection process. The CSI process was found useful by the participants. Although the preliminary results of the study were promising, the CSI process should be further investigated with typical large software engineering models.},
author = {D Winkler and M Sabou and S Petrovic and G Carneiro and M Kalinowski and S Biffl},
doi = {10.1109/CSI-SE.2017.2},
booktitle = {The 4th International Workshop on Crowdsourcing in Software Engineering},
keywords = {crowdsourcing,defect detection,feasibility study,model inspection},
title = {Improving Model Inspection with Crowdsourcing},
url = {https://doi.org/10.1109/CSI-SE.2017.2},
year = {2017},
}
  • F. J. Ekaputra, B. Do, E. Kiesling, N. M. Novak, T. Trinh, M. A. Tjoa, and P. R. Aryan, “Towards Open Data Mashups for Data Journalism,” in Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems – SEMANTiCS, 2017.
    [Bibtex] 
    @inproceedings{Ekaputra2017Towards,
abstract = {In line with a broad social and political movement in recent years, public and private sector actors have started to open up their data and to publish it on various portals. However, the actual use of the available open data sets is still rather limited in many sectors. Consequently, the potentials of available open data sets are not fully realized, which may discourage open data publishers. To encourage a broader adoption of open data and to contribute towards making democratic processes more transparent, critical data journalism is essential. In this demo paper, we propose an approach called Open Data Mashups for Data Journalism (ODMOJO) that aims to bridge open data publishers and their consumers, i.e., journalists and society at large, with Linked Data technologies. Specifically, our approach will facilitate the access, reuse, and integration of open data for General Data Journalism. We plan to evaluate our approach with potential journalism partners as well as open data publishers in Austria, to foster further adoption and utilization of open data through data journalism and Linked Data technologies.},
author = {Fajar J Ekaputra and Ba-Lam Do and Elmar Kiesling and Niina Maarit Novak and Tuan-Dat Trinh and A Min Tjoa and Peb R Aryan},
booktitle = {Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems - SEMANTiCS},
keywords = {Data Journalism,Linked Data Mashup,Open Data},
title = {Towards Open Data Mashups for Data Journalism},
url = {http://ceur-ws.org/Vol-2044/paper17/paper17.html},
year = {2017},
}
  • [DOI] T. Trinh, P. R. Aryan, B. Do, F. J. Ekaputra, E. Kiesling, A. Rauber, P. Wetz, and M. A. Tjoa, “Linked data processing provenance,” in Proceedings of the International Conference on Web Intelligence – WI, 2017, pp. 88-96.
    [Bibtex] 
    @inproceedings{Trinh2017Linked,
abstract = {©2017 ACM. e growth of Linked Data has created a promising environment for data exploration and a growing number of tools allow users to interactively integrate data from various sources. Eliciting the reliability of the results of such ad-hoc integration processes, consistently recreating those results, and identifying changes upon re-execution, however, can be difficult. Automated process provenance trail creation can provide major benefits in this context, because (i) it enables users to trace the contribution of individual sources and processing steps to the final outcome and judge whether the result can be trusted; (ii) it ensures repeatability and raises the trustworthiness of results; (iii) it ideally enables reconstruction of Linked Data integration processes from the provenance information embedded in the final result. In this paper, we present a provenance model that facilitates automatic generation of semantic provenance information for generic Linked Data integration processes. We implement the generic model in a collaborative mashup environment and evaluate it by means of an example application. We find that the model provides a solid foundation for verifiability and contributes towards making Linked Data integration processes more open, transparent, and reusable, which is crucial in domains where the origin of data is essential, such as, for instance, statistical analyses, scientific research, and data journalism.},
author = {Tuan-Dat Trinh and Peb R Aryan and Ba-Lam Do and Fajar J Ekaputra and Elmar Kiesling and Andreas Rauber and Peter Wetz and A Min Tjoa},
city = {New York, New York, USA},
doi = {10.1145/3106426.3106495},
isbn = {9781450349512},
booktitle = {Proceedings of the International Conference on Web Intelligence - WI},
keywords = {Data processing,Linked data,Provenance},
pages = {88-96},
publisher = {ACM Press},
title = {Linked data processing provenance},
url = {http://dl.acm.org/citation.cfm?doid=3106426.3106495},
year = {2017},
}
  • [DOI] F. Gandon, M. Sabou, and H. Sack, “Weaving a Web of linked resources,” Semantic Web, vol. 8, pp. 767-772, 2017.
    [Bibtex] 
    @article{DBLP:journals/semweb/GandonSS17,
author = {Fabien Gandon and Marta Sabou and Harald Sack},
doi = {10.3233/SW-170284},
issue = {6},
journal = {Semantic Web},
pages = {767-772},
title = {Weaving a Web of linked resources},
volume = {8},
url = {https://doi.org/10.3233/SW-170284},
year = {2017},
}
  • [DOI] P. Novák, F. J. Ekaputra, and S. Biffl, “Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description,” in International Federation of Automatic Control (IFAC) World Congress – Papers Online, 2017, pp. 7613-7620.
    [Bibtex] 
    @inproceedings{Novak2017Generation,
abstract = {Process simulations are useful test-beds for experiments and optimizations along the entire industrial plant life-cycle. Shifting testing and tuning of industrial plants and their automation systems from the real world to simulated environments is a part of a virtualization, which is one of the key movements in emerging areas of Industry 4.0 and factories of the future. Although simulations bring a large variety of benefits, they suffer from a time-consuming and error-prone design phase, which limits their use in industrial practice. This paper proposes a new design method called AML2SIM, which transforms the real plant description represented in AutomationML (AML) and generates a dynamic simulation model (SIM). The proposed method signifcantly improves the engineering and re-design of simulation models in terms of saving time and effort of experts as the models can be easily re-generated based on a given AutomationML plant model. Simulations are assembled from simulation blocks that are shared among various projects in simulation libraries, hence the method contributes to reuse of simulation artifacts.},
author = {Petr Novák and Fajar J Ekaputra and Stefan Biffl},
doi = {10.1016/j.ifacol.2017.08.1027},
issn = {24058963},
issue = {1},
booktitle = {International Federation of Automatic Control (IFAC) World Congress - Papers Online},
keywords = {Application of mechatronic principles,Design methodologies,Mechatronic systems,Modeling,Simulation,Virtual environments},
pages = {7613-7620},
title = {Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description},
volume = {50},
url = {https://doi.org/10.1016/j.ifacol.2017.08.1027},
year = {2017},
}

2016

  • [DOI] B. Do, P. Wetz, E. Kiesling, P. R. Aryan, T. Trinh, and M. A. Tjoa, “StatSpace: A Unified Platform for Statistical Data Exploration,” in Confederated International Conferences: CoopIS, C&TC, and ODBASE, 2016, pp. 792-809.
    [Bibtex] 
    @inproceedings{Do2016,
author = {Ba-Lam Do and Peter Wetz and Elmar Kiesling and Peb Ruswono Aryan and Tuan-Dat Trinh and A Min Tjoa},
doi = {10.1007/978-3-319-48472-3_50},
editor = {Christophe Debruyne and Hervé Panetto and Robert Meersman and Tharam S Dillon and eva Kühn and Declan O'Sullivan and Claudio Agostino Ardagna},
booktitle = {Confederated International Conferences: CoopIS, C&TC, and ODBASE},
pages = {792-809},
title = {StatSpace: A Unified Platform for Statistical Data Exploration},
volume = {10033},
url = {https://doi.org/10.1007/978-3-319-48472-3_50},
year = {2016},
}
  • [DOI] S. Biffl and M. Sabou, “Introduction,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer, 2016, pp. 1-13.
    [Bibtex] 
    @inbook{DBLP:books/sp/16/BifflS16,
author = {Stefan Biffl and Marta Sabou},
doi = {10.1007/978-3-319-41490-4_1},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
pages = {1-13},
publisher = {Springer},
title = {Introduction},
url = {https://doi.org/10.1007/978-3-319-41490-4_1},
year = {2016},
}
  • [DOI] F. J. Ekaputra, “Knowledge Change Management and Analysis in Engineering,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer International Publishing, 2016, pp. 159-178.
    [Bibtex] 
    @inbook{Ekaputra2016KnowledgeChapter,
author = {Fajar J Ekaputra},
city = {Cham},
doi = {10.1007/978-3-319-41490-4_7},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
pages = {159-178},
publisher = {Springer International Publishing},
title = {Knowledge Change Management and Analysis in Engineering},
url = {https://doi.org/10.1007/978-3-319-41490-4%7B%5C_%7D7},
year = {2016},
}
  • [DOI] G. Wohlgenannt, M. Sabou, and F. Hanika, “Crowd-based ontology engineering with the uComp Protege plugin,” Semantic Web, 2016.
    [Bibtex] 
    @article{Wohlgenannt2016,
author = {G Wohlgenannt and M Sabou and F Hanika},
doi = {10.3233/SW-150181},
journal = {Semantic Web},
note = {NULL},
title = {Crowd-based ontology engineering with the uComp Protege plugin},
url = {http://www.semantic-web-journal.net/system/files/swj894.pdf},
year = {2016},
}
  • [DOI] M. Sabou, “An Introduction to Semantic Web Technologies,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer International Publishing, 2016, pp. 53-81.
    [Bibtex] 
    @inbook{SWBook_Ch3,
author = {Marta Sabou},
city = {Cham},
doi = {10.1007/978-3-319-41490-4_3},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
pages = {53-81},
publisher = {Springer International Publishing},
title = {An Introduction to Semantic Web Technologies},
url = {https://doi.org/10.1007/978-3-319-41490-4_3},
year = {2016},
}
  • [DOI] R. Mordinyi, E. Serral, and F. J. Ekaputra, “Semantic Data Integration: Tools and Architectures,” in Semantic Web Technologies for Intelligent Engineering Applications, , 2016, pp. 181-217.
    [Bibtex] 
    @inbook{Mordinyi2016Semantic,
abstract = {This chapter is focused on the technical aspects of semantic data inte-gration that provides solutions for bridging semantic gaps between common project-level concepts and the local tool concepts as identified in the Engineering Knowledge Base (EKB). Based on the elicitation of use case requirements from automation systems engineering, the chapter identifies required capabilities an EKB software architecture has to consider. The chapter describes four EKB software architecture variants and their components, and discusses identified drawbacks and advantages regarding the utilization of ontologies. A benchmark is defined to evaluate the efficiency of the EKB software architecture variants in the context of selected quality attributes, like performance and scalability. Main results suggest that architectures relying on a relational database still outperform traditional ontology storages while NoSQL databases outperforms for query execution. In large-scale systems engineering projects, like power plants, steel mills, or car manufactures, the seamless cooperation and data exchange of expert knowledge from various engineering domains and organizations is a crucial success factor (Biffl et al. 2009a). This environment consists of a wide range of engineering systems and tools that differ in the underlying technical platforms and the used data models. Each domain or organization usually prefers using their own well-known models, from now on referred as local tool models. In order to successfully develop projects, it is essential to integrate important knowledge of different domain experts. However, these experts usually prefer using their well-known local tool models. In addition, they want to access data from other tools within their local data repre-sentation approach (Moser and Biffl 2012). The standardization of data interchange is one of the most promising approaches (Wiesner et al. 2011) to enable efficient data integration that allows experts to continue using their familiar data models and formats. This approach is based on agreeing on a minimal common model for data exchange that represents the common concepts shared among different disciplines on project level. Chapter 2 presented main use cases with typical process steps during the engineering phase within the life cycle of production systems. Selected scenarios focused on the capability to interact appropriately within a multidisciplinary engineering network while pointing out the need for a common vocabulary over all engineering disciplines involved in an engineering organization. The described challenges in the context of engineering data integration referred to a consistent production system plant model in order to support quality-assured parallel engi-neering, and the ability to access and analyze integrated data, e.g., for project progress and project quality reports. Versioning of exchanged information helps to improve change management and team collaboration over the course of the engi-neering project. As part of an efficient data management it is essential for process observations, project monitoring, and control across engineering disciplines (Moser et al. 2011b). As a common baseline it can be concluded that it is necessary to clearly dis-tinguish between local concepts of engineering tools and common concepts (Moser and Biffl 2010) (i.e., data sets representing heterogeneous but semantically corre-sponding local data elements) at project level. Consequently, interoperability between heterogeneous engineering environments is only supported if the semantic gap between local tool concepts and common project-level concepts can be prop-erly bridged. The Engineering Knowledge Base (EKB) (Moser and Biffl 2010) (see Chap. 4) provides the means for semantic integration of the heterogeneous models of each discipline using ontologies, and thus facilitates seamless communication, interaction, and data exchange. Semantic technologies are capable of linking cor-responding local concepts of engineering tools with each other via common project-level concepts representing the data integration needs of engineering dis-ciplines at their interfaces. 182 R. Mordinyi et al.},
author = {Richard Mordinyi and Estefanía Serral and Fajar J Ekaputra},
doi = {10.1007/978-3-319-41490-4_8},
isbn = {978-3-319-41488-1},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
keywords = {Multidisciplinary projects,Ontology,Performance,Semantic data integration,Versioning},
pages = {181-217},
title = {Semantic Data Integration: Tools and Architectures},
url = {https://doi.org/10.1007/978-3-319-41490-4_8},
year = {2016},
}
  • [DOI] R. Mordinyi, D. Winkler, F. J. Ekaputra, M. Wimmer, and S. Biffl, “Investigating model slicing capabilities on integrated plant models with AutomationML,” in IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2016.
    [Bibtex] 
    @inproceedings{Mordinyi2016Investigating,
abstract = {©2016 IEEE. Typical large-scale systems engineering projects depend on seamless cooperation and data exchange of experts from various engineering domains and organizations that work in a heterogeneous engineering environment. Available software tools support individual engineering disciplines quite well, but they only represent a discipline-specific view on the engineering plant. Consequently, a so-called integrated plant model captures and combines all different views into one representation in order to provide an overarching, discipline-independent view on the engineering plant. However, in order to support effective engineering processes, like change management, stakeholders need to be able to (a) define the scope of their changes they want to merge into the integrated plant model rather than the latest status of their view with various fragile adaptations, and (b) extract only engineering information from integrated plant model which is in the scope of the stakeholders's discipline and interest. In this paper, we describe requirements identified in industrial use cases regarding filtering capabilities on (integrated) engineering plant models and model-driven engineering techniques for model-slicing applied on AutomationML models. The approach contributes to quality assurance and fault-prevention in engineering data since it helps to focus on parts of the engineering plant model relevant in certain engineering processes.},
author = {Richard Mordinyi and Dietmar Winkler and Fajar J Ekaputra and Manuel Wimmer and Stefan Biffl},
doi = {10.1109/ETFA.2016.7733556},
isbn = {9781509013142},
issn = {19460759},
booktitle = {IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
keywords = {AutomationML,Model Slicing,Multi-Disciplinary Engineering,Software Architecture},
title = {Investigating model slicing capabilities on integrated plant models with AutomationML},
volume = {2016-Novem},
url = {https://doi.org/10.1109/ETFA.2016.7733556},
year = {2016},
}
  • [DOI] D. Winkler, F. J. Ekaputra, and S. Biffl, “AutomationML Review Support in Multi-Disciplinary Engineering Environments,” in IEEE 21th Conference on Emerging Technologies and Factory Automation (ETFA), 2016.
    [Bibtex] 
    @inproceedings{Winkler2016AutomationML,
abstract = {©2016 IEEE. [Context] In Multi-Disciplinary Engineering (MDE) environments, the engineering of industrial production systems requires the collaboration of engineers coming from different disciplines. Engineers typically apply discipline specific tools and data models with limited collaboration capabilities. These loosely coupled tools and heterogeneous data models hinder efficient change management and defect detection, which makes MDE projects unnecessarily risky and error prone. [Objective] This paper presents an adapted review approach, AML-Review, for multi-disciplinary engineering (MDE) projects based on best practices for reviews in software engineering. [Method] Software reviews have been successfully used for early defect detection in Software Engineering. However, adaptations are needed for defect detection in MDE environments. We focus on production systems models according to the emerging AutomationML standard. [Results] We evaluated the feasibility of the AML-Review process with requirements and an AutomationML model from a real-world application scenario. The AML-Review process provides the benefits of systematic and traceable review results for MDE projects based on AutomationML. [Conclusion] The prototype results imply that systematic and structured review processes help to improve traceability of requirements and defects and increase defect detection performance.},
author = {Dietmar Winkler and Fajar J Ekaputra and Stefan Biffl},
doi = {10.1109/ETFA.2016.7733555},
isbn = {9781509013142},
issn = {19460759},
booktitle = {IEEE 21th Conference on Emerging Technologies and Factory Automation (ETFA)},
keywords = {Automation Systems,AutomationML,Defect Detection,Multi-disciplinary Engineering,Quality Assurance,Reviews,Risk Management,inspection},
title = {AutomationML Review Support in Multi-Disciplinary Engineering Environments},
volume = {2016-Novem},
url = {https://doi.org/10.1109/ETFA.2016.7733555},
year = {2016},
}
  • [DOI] F. J. Ekaputra and X. Lin, “SHACL4P: SHACL constraints validation within Protégé ontology editor,” in International Conference on Data and Software Engineering, ICoDSE, 2016.
    [Bibtex] 
    @inproceedings{Ekaputra2016SHACL4P,
abstract = {©2016 IEEE. Recently, Semantic Web Technologies (SWT) have been introduced and adopted to address the problem of enterprise data integration (e.g., to solve the problem of terms and concepts heterogeneity within large organizations). One of the challenges of adopting SWT for enterprise data integration is to provide the means to define and validate structural constraints over Resource Description Framework (RDF) graphs. This is difficult since RDF graph axioms behave like implications instead of structural constraints. SWT researchers and practitioners have proposed several solutions to address this challenge (e.g., SPIN and Shape Expression). However, to the best of our knowledge, none of them provide an integrated solution within open source ontology editors (e.g., Protégé). We identified this absence of the integrated solution and developed SHACL4P, a Protégé plugin for defining and validating Shapes Constraint Language (SHACL), the upcoming W3C standard for constraint validation within Protégé ontology editor.},
author = {Fajar J Ekaputra and Xiashuo Lin},
doi = {10.1109/ICODSE.2016.7936162},
isbn = {9781509056712},
booktitle = {International Conference on Data and Software Engineering, ICoDSE},
keywords = {Constraint Validation,Protégé Plugin,RDF Graph,SHACL},
title = {SHACL4P: SHACL constraints validation within Protégé ontology editor},
url = {https://doi.org/10.1109/ICODSE.2016.7936162},
year = {2016},
}
  • [DOI] M. Sabou, F. Ekaputra, O. Kovalenko, and S. Biffl, “Supporting the engineering of cyber-physical production systems with the AutomationML analyzer,” in 1st International Workshop on Cyber-Physical Production Systems (CPPS), 2016, pp. 1-8.
    [Bibtex] 
    @inproceedings{SabouEKB16,
abstract = {©2016 IEEE. The engineering phase of Cyber-Physical Production Systems (CPPS) is a multi-disciplinary process in which representatives of diverse engineering disciplines collaborate to deliver a complex CPPS. To ensure optimal project management as well as to avoid risks of inconsistencies between engineering models created by engineers from different disciplines, support is needed for integrating and subsequently analyzing diverse engineering data. AutomationML is an emerging data exchange format for engineering data which makes the first step towards the easier exchange of engineering data. Yet, there is a lack of tool support for integrating, making sense of and analyzing AML files. In this paper, we explore the use of Semantic Web and Linked Data technologies to provide extended functionality on top of AML that allows advanced data analytics on engineering data such as intuitive browsing of interlinked engineering models and queries for project-wide verification and validation activities. As a result of these investigations, we present the AutomationML Analyzer prototypical implementation to showcase some of the functionalities made possible by Semantic Web and Linked Data technologies in this context.},
author = {Marta Sabou and Fajar Ekaputra and Olga Kovalenko and Stefan Biffl},
doi = {10.1109/CPPS.2016.7483919},
booktitle = {1st International Workshop on Cyber-Physical Production Systems (CPPS)},
month = {4},
pages = {1-8},
publisher = {IEEE},
title = {Supporting the engineering of cyber-physical production systems with the AutomationML analyzer},
url = {https://doi.org/10.1109/CPPS.2016.7483919},
year = {2016},
}
  • [DOI] M. Sabou, O. Kovalenko, and P. Novák, “Semantic Modelling and Acquisition of Engineering Knowledge,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer International Publishing, 2016, pp. 105-136.
    [Bibtex] 
    @inbook{sabou2016semanticmodeling,
author = {Marta Sabou and Olga Kovalenko and Petr Novák},
city = {Cham},
doi = {10.1007/978-3-319-41490-4_5},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
pages = {105-136},
publisher = {Springer International Publishing},
title = {Semantic Modelling and Acquisition of Engineering Knowledge},
year = {2016},
}
  • [DOI] M. Sabou, I. Onder, A. M. P. Brasoveanu, and A. Scharl, “Towards cross-domain data analytics in tourism: a linked data based approach,” Information Technology and Tourism, vol. 16, pp. 71-101, 2016.
    [Bibtex] 
    @article{Sabou2016b,
abstract = {The complexity of the social, political and economical settings in which tourism enterprises operate, increasingly require them to perform data analytics tasks that rely on data from various domains (e.g., economy, environmental sustainability). A survey of tourism practitioners performed in this study showed that although such cross-domain analytics are important, they are primarily performed by relying on manual data collection and aggregation, which is both time-consuming and error-prone. This paper investigates the suitability of Linked Data technologies to support data aggregation tasks needed for establishing such complex analytics systems. To that end, a prototypical implementation is developed that relies on Linked Data as a technological platform for integrating data from three major tourism data sources: TourMIS, World Bank and Eurostat. Enabled by this integrated data, the ETIHQ Dashboard for data analytics was implemented, the first visual data analytics system that supports cross-domain analytics over tourism, economic and sustainability indicators. An exploratory evaluation performed with practitioners shows that this Linked Data enabled system could potentially bring important improvements in terms of execution times and answer quality when compared to current manual approaches typically used by tourism practitioners in daily practice. ©2016, Springer-Verlag Berlin Heidelberg.},
author = {Marta Sabou and Irem Onder and Adrian M P Brasoveanu and Arno Scharl},
doi = {10.1007/s40558-015-0049-5},
isbn = {1098-3058},
issn = {1098-3058},
issue = {1},
journal = {Information Technology and Tourism},
month = {3},
pages = {71-101},
title = {Towards cross-domain data analytics in tourism: a linked data based approach},
volume = {16},
year = {2016},
}
  • [DOI] M. Sabou and S. Biffl, “Conclusions and Outlook,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer, 2016, pp. 383-400.
    [Bibtex] 
    @inbook{DBLP:books/sp/16/SabouB16,
author = {Marta Sabou and Stefan Biffl},
doi = {10.1007/978-3-319-41490-4_15},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
pages = {383-400},
publisher = {Springer},
title = {Conclusions and Outlook},
url = {https://doi.org/10.1007/978-3-319-41490-4_15},
year = {2016},
}
  • [DOI] M. Sabou, O. Kovalenko, F. J. Ekaputra, and S. Biffl, “Semantic Web Solutions in Engineering,” in Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer International Publishing, 2016, pp. 281-296.
    [Bibtex] 
    @inbook{SWBook_Ch11,
abstract = {The Industrie 4.0 vision highlights the need for more flexible and adaptable production systems. This requires making the process of engineering production systems faster and intends to lead to higher quality, but also more complex plants. A key issue in improving engineering processes in this direction is providing mechanisms that can efficiently and intelligently handle large-scale and heterogeneous engineering data sets thus shortening engineering processes while ensuring a higher quality of the engineered system, for example, by enabling improved cross-disciplinary defect detection mechanisms. Semantic Web technologies (SWTs) have been widely used for the development of a range of Intelligent Engineering Applications (IEAs) that exhibit an intelligent behavior when processing large and heterogeneous data sets. This chapter identifies key technical tasks performed by IEAs, provides example IEAs and discusses the connection between Semantic Web capabilities and IEA tasks.},
author = {Marta Sabou and Olga Kovalenko and Fajar Juang Ekaputra and Stefan Biffl},
city = {Cham},
doi = {10.1007/978-3-319-41490-4_11},
editor = {Stefan Biffl and Marta Sabou},
booktitle = {Semantic Web Technologies for Intelligent Engineering Applications},
keywords = {Flexible comparison,Intelligent engineering applications,Model consistency management,Model integration},
pages = {281-296},
publisher = {Springer International Publishing},
title = {Semantic Web Solutions in Engineering},
year = {2016},
}
  • [DOI] S. Biffl and M. Sabou, Semantic Web Technologies for Intelligent Engineering Applications, S. Biffl and M. Sabou, Eds., Springer International Publishing, 2016.
    [Bibtex] 
    @book{BS2016,
author = {Stefan Biffl and Marta Sabou},
city = {Cham},
doi = {10.1007/978-3-319-41490-4},
editor = {Stefan Biffl and Marta Sabou},
journal = {Semantic Web Technologies for Intelligent Engineering Applications},
note = {From Duplicate 1 (Semantic Web Technologies for Intelligent Engineering Applications - Biffl, Stefan; Sabou, Marta)

    From Duplicate 1 (Semantic Web Technologies for Intelligent Engineering Applications - Biffl, Stefan; Sabou, Marta)

    From Duplicate 1 (Semantic Web Technologies for Intelligent Engineering Applications - Biffl, Stefan; Sabou, Marta)

    From Duplicate 1 (Semantic Web Technologies for Intelligent Engineering Applications - Biffl, Stefan; Sabou, Marta)

    NULL},
pages = {1-405},
publisher = {Springer International Publishing},
title = {Semantic Web Technologies for Intelligent Engineering Applications},
year = {2016},
}
  • [DOI] F. J. Ekaputra, M. Sabou, E. Serral, and S. Biffl, “Knowledge change management and analysis during the engineering of cyber physical production systems: A use case of hydro power plants,” in 12th International Conference on Semantic Systems – SEMANTiCS, 2016, pp. 105-112.
    [Bibtex] 
    @inproceedings{Ekaputra2016Knowledge,
abstract = {©2016 ACM. The process of designing Cyber Physical Production Systems (CPPS), e.g., modern power plants or steel mills, typically takes place in a multi-disciplinary engineering environment, in which experts from various engineering domains and organizations work together towards creating complex engineering artifacts. The process of designing such complex engineering artifacts requires iterations and redesign phases, which lead to continuous changes of the data and knowledge. To manage changes in such environment, we have previously proposed a generic reference process for conducting Knowledge Change Management and Analysis (KCMA). This paper implements this process for the case study of a modern Hydro Power Plant by adapting the proposed generic reference process into a scientific prototype developed using Semantic Web Technologies. Finally, we conduct an evaluation to evaluate the feasibility of the proposed reference process and the developed prototype. Thus, the contribution of this paper is twofolds: (1) A tool-supported prototype for KCMA of a hydro power plant, and (2) A feasibility evaluation of this prototype that reports feedback and lessons learned for achieving KCMA in real-world case studies.},
author = {Fajar J Ekaputra and Marta Sabou and Estefanía Serral and Stefan Biffl},
city = {New York, New York, USA},
doi = {10.1145/2993318.2993325},
isbn = {9781450347525},
institution = {ACM},
booktitle = {12th International Conference on Semantic Systems - SEMANTiCS},
keywords = {Cyber-physical production system,Knowledge change management and analysis,Multi-disciplinary Engineering,Ontology based information integration},
note = {From Duplicate 1 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J.; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    From Duplicate 2 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J.; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    From Duplicate 2 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    NULL

    From Duplicate 3 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J.; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    From Duplicate 1 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J.; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    From Duplicate 2 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J.; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    From Duplicate 2 (Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems - Ekaputra, Fajar J; Sabou, Marta; Serral, Estefanía; Biffl, Stefan)

    NULL},
pages = {105-112},
publisher = {ACM Press},
title = {Knowledge change management and analysis during the engineering of cyber physical production systems: A use case of hydro power plants},
volume = {13-14-Sept},
url = {http://dl.acm.org/citation.cfm?doid=2993318.2993325},
year = {2016},
}

2015

  • [DOI] O. Kovalenko, M. Wimmer, M. Sabou, A. Lüder, F. J. Ekaputra, and S. Biffl, “Modeling automationml: Semantic web technologies vs. model-driven engineering,” in IEEE 20th Conference on Emerging Technologies and Factory Automation (ETFA), 2015, pp. 1-4.
    [Bibtex] 
    @inproceedings{Kovalenko2015Modeling,
abstract = {©2015 IEEE. Modeling engineering knowledge explicitly and representing it by means of standardized modeling languages and in machine-understandable form enables advanced engineering processes in industrial and factory automation. This affects positively both process and product quality. In this paper we explore how the AutomationML format, an emerging data exchange standard, that supports the Industry 4.0 vision, can be represented by means of two established modeling approaches - Model-Driven Engineering (MDE) and Semantic Web. We report observed differences w.r.t. resulting model features and model creation process and, additionally, present the application possibilities of the developed models for engineering process improvement in a production system engineering context.},
author = {Olga Kovalenko and Manuel Wimmer and Marta Sabou and Arndt Lüder and Fajar J Ekaputra and Stefan Biffl},
doi = {10.1109/ETFA.2015.7301643},
isbn = {9781467379298},
issn = {19460759},
institution = {IEEE},
booktitle = {IEEE 20th Conference on Emerging Technologies and Factory Automation (ETFA)},
keywords = {AutomationML,enterprise models,manufacturing,model driven engineering,modeling engineering knowledge,ontology,ontology engineering},
pages = {1-4},
title = {Modeling automationml: Semantic web technologies vs. model-driven engineering},
year = {2015},
}
  • [DOI] F. J. Ekaputra, M. Sabou, E. Serral, and S. Biffl, “Collaborative Exchange of Systematic Literature Review Results: The Case of Empirical Software Engineering,” in Proceedings of the 24th International Conference on World Wide Web Companion, WWW, 2015, pp. 1055-1056.
    [Bibtex] 
    @inproceedings{DBLP:conf/www/EkaputraSSB15,
author = {Fajar J Ekaputra and Marta Sabou and Estefan$\backslash$'$\backslash$ia Serral and Stefan Biffl},
doi = {10.1145/2740908.2742027},
editor = {Aldo Gangemi and Stefano Leonardi and Alessandro Panconesi},
booktitle = {Proceedings of the 24th International Conference on World Wide Web Companion, WWW},
pages = {1055-1056},
publisher = {ACM},
title = {Collaborative Exchange of Systematic Literature Review Results: The Case of Empirical Software Engineering},
url = {https://doi.org/10.1145/2740908.2742027},
year = {2015},
}
  • [DOI] M. Sabou, O. Kovalenko, F. Ekaputra, and S. Biffl, “Beiträge des Semantic Web zum Engineering für Industrie 4.0,” in Handbuch Industrie 4.0, Springer Berlin Heidelberg, 2015, pp. 1-21.
    [Bibtex] 
    @inbook{sabou2015beitrage,
abstract = {Ein wesentlicher Aspekt f€ ur die Umsetzung der Vision von Industrie 4.0 ist die Verbesserung des Engineering-Prozesses von Produktionssystemen. Dieses Kapitel untersucht, welche Beiträge Semantic Web Technologien zu Engineering-Prozessen von Industrie 4.0 einbringen können. Dazu wird ein Analyse-Framework entwickelt, in dem die hauptsächlichen Fähigkeiten von Semantic Web Technologien dargestellt werden, und werden diejenigen tech- nischen Aufgaben diskutiert, die in Industrie 4.0 spezifischen mechatronischen Engineering Szenarien den größten Vorteil aus Verbesserungen ziehen könnten. Dieses Framework wird einer fokussierten Review aktueller Ansätze zugrunde gelegt, die Semantic Web Technologien im Kontext des Engineerings von Produktionssystemen verwenden. So soll ein besseres Verständnis erlangt werden, welche Fähigkeiten der Technologien welche technischen Aufgaben gut unterstützen. Die Analyse zeigt, dass Semantic Web Technologien vor allem für die Integration und das Management von Unternehmensdaten in verschiedenen Aspekten des Engineerings, vom Anforderungsmanagement bis hin zur Simulation und zu Projektmanagement, verwendet werden. Durch den Fokus auf Datenintegration und Konsistenzmanagement wird das Potential der Web- orientierten Fähigkeiten des Semantic Web vorerst nicht ausgeschöpft.},
author = {Marta Sabou and Olga Kovalenko and Fajar Ekaputra and Stefan Biffl},
city = {Berlin, Heidelberg},
doi = {10.1007/978-3-662-45537-1_90-1},
booktitle = {Handbuch Industrie 4.0},
pages = {1-21},
publisher = {Springer Berlin Heidelberg},
title = {Beiträge des Semantic Web zum Engineering für Industrie 4.0},
url = {https://doi.org/10.1007/978-3-662-45537-1_90-1},
year = {2015},
}
  • T. Trinh, P. Wetz, B. Do, P. R. Aryan, E. Kiesling, and M. A. Tjoa, “An Autocomplete Input Box for Semantic Annotation on the Web,” in Proceedings of the International Workshop on Visualizations and User Interfaces for Ontologies and Linked Data co-located with 14th International Semantic Web Conference, ISWC., 2015, p. 97.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/TrinhWDAKT15,
author = {Tuan-Dat Trinh and Peter Wetz and Ba-Lam Do and Peb Ruswono Aryan and Elmar Kiesling and A Min Tjoa},
editor = {Valentina Ivanova and Patrick Lambrix and Steffen Lohmann and Catia Pesquita},
booktitle = {Proceedings of the International Workshop on Visualizations and User Interfaces for Ontologies and Linked Data co-located with 14th International Semantic Web Conference, ISWC.},
pages = {97},
publisher = {CEUR-WS.org},
title = {An Autocomplete Input Box for Semantic Annotation on the Web},
volume = {1456},
url = {http://ceur-ws.org/Vol-1456/paper11.pdf},
year = {2015},
}
  • [DOI] F. J. Ekaputra, “Ontology change in ontology-based information integration systems,” in 12th European Semantic Web Conference, ESWC, 2015, pp. 711-720.
    [Bibtex] 
    @inproceedings{Ekaputra2015Ontology,
abstract = {©Springer International Publishing Switzerland 2015. Ontology change is an important part of the Semantic Web field that helps researchers and practitioners to deal with changes performed in ontologies. Ontology change is especially important in Ontology-Based Information Integration (OBII) systems, where several ontologies are interrelated and therefore, changes raise various complexities and implications, such as modifications of ontology mappings and change propagation. Current approaches to ontology change mainly focus on a single ontology and therefore do not properly address the constraints specific to OBII systems. To address the challenge of ontology change in OBII contexts, we plan to adapt successful techniques proposed both by Semantic Web and Model-Driven Engineering communities. We discuss the research goals, methods, and evaluation options to address this challenge. Real-world case studies are used for the development and evaluation of the proposed methods.},
author = {Fajar J Ekaputra},
doi = {10.1007/978-3-319-18818-8_44},
isbn = {9783319188171},
issn = {16113349},
institution = {Springer International Publishing},
booktitle = {12th European Semantic Web Conference, ESWC},
keywords = {Model-Driven engineering,Ontology change,Ontology evolution,Ontology versioning,Ontology-Based information integration},
note = {From Duplicate 1 (Ontology change in ontology-based information integration systems - Ekaputra, Fajar Juang)

    From Duplicate 2 (Ontology Change in Ontology-Based Information Integration Systems - Ekaputra, Fajar Juang)

    earlier version of ekaputra et al. 2016

    From Duplicate 2 (Ontology change in ontology-based information integration systems - Ekaputra, Fajar J.)

    From Duplicate 2 (Ontology change in ontology-based information integration systems - Ekaputra, Fajar J.)

    From Duplicate 2 (Ontology change in ontology-based information integration systems - Ekaputra, Fajar Juang)

    From Duplicate 2 (Ontology Change in Ontology-Based Information Integration Systems - Ekaputra, Fajar Juang)

    earlier version of ekaputra et al. 2016},
pages = {711-720},
title = {Ontology change in ontology-based information integration systems},
volume = {9088},
url = {http://link.springer.com/10.1007/978-3-319-18818-8%7B%5C_%7D44},
year = {2015},
}
  • B. L. Do, P. R. Aryan, T. D. Trinh, P. Wetz, E. Kiesling, and M. A. Tjoa, “Toward a framework for statistical data integration,” in Proceedings of the 3rd International Workshop on Semantic Statistics co-located with 14th International Semantic Web Conference, ISWC, 2015.
    [Bibtex] 
    @inproceedings{Do2015a,
abstract = {A large number of statistical data sets have been published on the web by various organizations in recent years. The resulting abundance creates opportunities for new analyses and insights, but that frequently requires integrating data from multiple sources. Inconsistent formats , access methods, units, and scales hinder data integration and make it a tedious or infeasible task. Standards such as the W3C RDF data cube vocabulary and the content-oriented guidelines of SDMX provide a foundation to tackle these challenges. In this paper, we introduce a framework that semi-automatically performs semantic data integration on statistical raw data sources at query time. We follow existing standards to transform non-semantic data structures to RDF format. Furthermore, we describe each data set with semantic metadata to deal with inconsistent use of terminologies. This metadata provides the foundation for cross-dataset querying through a mediator that rewrites queries appropriately for each source and returns consolidated results.},
author = {Ba-Lam Lam Do and Peb Ruswono Aryan and Tuan-Dat Dat Trinh and Peter Wetz and Elmar Kiesling and A Min Tjoa},
editor = {Sarven Capadisli and Franck Cotton and Armin Haller and Evangelos Kalampokis and Monica Scannapieco and Raphaël Troncy},
issue = {ii},
booktitle = {Proceedings of the 3rd International Workshop on Semantic Statistics co-located with 14th International Semantic Web Conference, ISWC},
publisher = {CEUR-WS.org},
title = {Toward a framework for statistical data integration},
volume = {1551},
year = {2015},
}
  • [DOI] A. Koczanski and M. Sabou, “Sustainability Implications of Open Government Data: A Cross-Regional Study,” in Proceedings of the ACM Web Science Conference, WebSci, 2015, p. 1:1–1:9.
    [Bibtex] 
    @inproceedings{DBLP:conf/websci/KoczanskiS15,
abstract = {Complementing studies on the economic impact of Open Government Data (OGD), we investigate how this novel Web-enabled movement supports sustainability. An analysis of OGD-based applications reveals that: (1) OGD supports all three pillars of sustainability; (2) citizens and app developers alike are receptive and motivated by sustainability implications of OGD; and (3) few regional differences exist between Vienna and New York City. We derive recommendations for further improving the sustainability impact of OGD.},
author = {Alison Koczanski and Marta Sabou},
doi = {10.1145/2786451.2786463},
editor = {David De Roure and Pete Burnap and Susan Halford},
booktitle = {Proceedings of the ACM Web Science Conference, WebSci},
pages = {1:1--1:9},
publisher = {ACM},
title = {Sustainability Implications of Open Government Data: A Cross-Regional Study},
url = {https://doi.org/10.1145/2786451.2786463},
year = {2015},
}
  • [DOI] M. Sabou, A. M. P. Brasoveanu, and I. Önder, “Linked Data for Cross-Domain Decision-Making in Tourism,” in Information and Communication Technologies in Tourism, ENTER, 2015, pp. 197-210.
    [Bibtex] 
    @inproceedings{DBLP:conf/enter/SabouBO15,
author = {Marta Sabou and Adrian M P Brasoveanu and Irem Önder},
doi = {10.1007/978-3-319-14343-9_15},
editor = {Iis Tussyadiah and Alessandro Inversini},
booktitle = {Information and Communication Technologies in Tourism, ENTER},
pages = {197-210},
publisher = {Springer},
title = {Linked Data for Cross-Domain Decision-Making in Tourism},
url = {https://doi.org/10.1007/978-3-319-14343-9_15},
year = {2015},
}
  • [DOI] F. J. Ekaputra, M. Sabou, E. Serral, and S. Biffl, “Collaborative Exchange of Systematic Literature Review Results,” in Proceedings of the 24th International Conference on World Wide Web – WWW Companion, 2015, pp. 1055-1056.
    [Bibtex] 
    @inproceedings{ekaputra2015collaborative,
author = {Fajar J Ekaputra and Marta Sabou and Estefanía Serral and Stefan Biffl},
city = {New York, New York, USA},
doi = {10.1145/2740908.2742027},
isbn = {9781450334730},
institution = {ACM},
booktitle = {Proceedings of the 24th International Conference on World Wide Web - WWW Companion},
pages = {1055-1056},
publisher = {ACM Press},
title = {Collaborative Exchange of Systematic Literature Review Results},
url = {http://dl.acm.org/citation.cfm?doid=2740908.2742027},
year = {2015},
}
  • F. J. Ekaputra, E. Serral, M. Sabou, and S. Biffl, “Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments,” in Joint Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems – SEMANTiCS and 1st Workshop on Data Science: Methods, Technology and Applications (DSci) co-located with the 11th International Conference on Sema, 2015, pp. 13-17.
    [Bibtex] 
    @inproceedings{ekaputra2015knowledge,
abstract = {©Copyright 2015 for the individual papers by the papers' authors. Multi-Disciplinary Engineering (MDEng) environments involve a wide range of models, processes and tools that were not designed to cooperate together. The Ontology-Based Information Integra-tion (OBII) approach has been proposed to address the integration issue within such environments. However, knowledge changes management and analysis (KCMA) process within the environ-ment are not covered within the OBII approach. While the tradi-tional ontology change management approach has been investi-gated to the general problem, it remains unclear how to use the available solutions within MDEng context. In this paper, we ex-tend the OBII approach to enable the KCMA process. We have identified the main KCMA requirements within MDEng projects and studied the related work of Ontology Change Management to propose a suitable solution, as well as suggesting further works.},
author = {Fajar J Ekaputra and Estefanía Serral and Marta Sabou and Stefan Biffl},
booktitle = {Joint Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS and 1st Workshop on Data Science: Methods, Technology and Applications (DSci) co-located with the 11th International Conference on Sema},
pages = {13-17},
title = {Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments},
volume = {1481},
year = {2015},
}
  • [DOI] B. Do, T. Trinh, P. R. Aryan, P. Wetz, E. Kiesling, and M. A. Tjoa, “Toward a statistical data integration environment: the role of semantic metadata,” in Proceedings of the 11th International Conference on Semantic Systems, SEMANTICS, 2015, pp. 25-32.
    [Bibtex] 
    @inproceedings{DBLP:conf/i-semantics/DoTAWKT15,
abstract = {In most government and business organizations alike, statistical data provides the foundation for strategic planning and for the management of operations. In this context, the use of increasingly abundant statistical data available on the web creates new opportunities for interesting applications and facilitates more informed decision-making. For the majority of end users, however, viable means to explore statistical data sets available on the web are still scarce. Gathering and relating statistical data from multiple sources is hence typically a tedious manual process that requires significant technical expertise. Data that is being published with associated semantics, using standards such as the W3C RDF Data Cube Vocabulary, lays the foundation to overcome such limitations. In this paper, we develop a semantic metadata repository that describes each statistical data set and develop mechanisms for the interconnection of data sets based on their metadata. Finally, we support users in exploring data sets through interactive mashups that facilitate data integration, comparisons, and visualization.},
author = {Ba-Lam Do and Tuan-Dat Trinh and Peb Ruswono Aryan and Peter Wetz and Elmar Kiesling and A Min Tjoa},
doi = {10.1145/2814864.2814879},
editor = {Axel Polleres and Tassilo Pellegrini and Sebastian Hellmann and Josiane Xavier Parreira},
isbn = {978-1-4503-3462-4},
booktitle = {Proceedings of the 11th International Conference on Semantic Systems, SEMANTICS},
pages = {25-32},
publisher = {ACM},
title = {Toward a statistical data integration environment: the role of semantic metadata},
url = {http://doi.acm.org/10.1145/2814864.2814879},
year = {2015},
}
  • [DOI] F. Zablith, G. Antoniou, M. D’Aquin, G. Flouris, H. Kondylakis, E. Motta, D. Plexousakis, and M. Sabou, “Ontology evolution: a process-centric survey,” The Knowledge Engineering Review, vol. 30, pp. 45-75, 2015.
    [Bibtex] 
    @article{Zablith2015,
abstract = {Ontology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.},
author = {Fouad Zablith and Grigoris Antoniou and Mathieu D'Aquin and Giorgos Flouris and Haridimos Kondylakis and Enrico Motta and Dimitris Plexousakis and Marta Sabou},
doi = {10.1017/S0269888913000349},
issue = {01},
journal = {The Knowledge Engineering Review},
pages = {45-75},
title = {Ontology evolution: a process-centric survey},
volume = {30},
url = {http://dx.doi.org/10.1017/S0269888913000349},
year = {2015},
}

2014

  • F. J. Ekaputra, M. Sabou, E. Serral, and S. Biffl, “Supporting Information Sharing for Reuse and Analysis of Scientific Research Publication Data,” in Proceedings of the 4th Workshop on Semantic Publishing, SePublica, 2014.
    [Bibtex] 
    @inproceedings{Ekaputra2014Supporting,
abstract = {Effective and efficient information sharing for reuse and analysis of scientific data from published research papers is an important challenge for researchers working within the empirical software engineering (EMSE) domain. Currently, there is only limited support for storing empirical research data and results in a way that is easy to access and reuse for other researchers. In this paper, we propose the Systematic Knowledge Engineering Tool (SKET), an ontologybased tool to provide researchers in the EMSE domain with capabilities for storing, sharing, and verifying results within their research community. The initial evaluation results show that SKET can address relevant needs in the EMSE community and can be considered as a foundation for advanced tool capabilities.},
author = {Fajar J Ekaputra and Marta Sabou and Estefanía Serral and Stefan Biffl},
issn = {16130073},
booktitle = {Proceedings of the 4th Workshop on Semantic Publishing, SePublica},
keywords = {And ontology,Empirical research,Empirical software engineering,Publication database},
publisher = {CEUR-WS},
title = {Supporting Information Sharing for Reuse and Analysis of Scientific Research Publication Data},
volume = {1155},
url = {https://qse.ifs.tuwien.ac.at/publication/IFS-CDL-14-03.pdf},
year = {2014},
}
  • [DOI] P. R. Aryan, F. J. Ekaputra, W. D. Sunindyo, and S. Akbar, “Fostering government transparency and public participation through linked open government data: Case study: Indonesian public information service,” in International Conference on Data and Software Engineering, ICODSE, 2014, pp. 1-6.
    [Bibtex] 
    @inproceedings{aryan2014fostering,
abstract = {Open data refers to data that is freely available in the Internet and can be used, reused, and redistributed without restrictions from copyright or patent. This paper describes our approach to fostering government transparency and public participation through linked open government data (LOGD). We have analyzed how Indonesian Government deals with the open government data issues, and we define its maturity level based on the existing maturity framework. Then, we proposed a conceptual framework advance the Indonesian open government data maturity level to encourage further improvement on the government transparency and public participation. To show the feasibility of our approach, we developed a case study to show how the open data advancement could support the government transparency and public participation. Our case study shows promising result and we are eager to continue working in the area in a bigger scale.},
author = {Peb R Aryan and Fajar J Ekaputra and Wikan D Sunindyo and Saiful Akbar},
doi = {10.1109/ICODSE.2014.7062655},
isbn = {978-1-4799-8175-5},
institution = {IEEE},
booktitle = {International Conference on Data and Software Engineering, ICODSE},
keywords = {Data models,Education,Government,Indonesian government,Internet,Joining processes,LOGD,Portals,Resource description framework,Standards,conceptual framework,government data processing,government transparency,linked data,linked open government data,open data,open government data,open systems,public administration,public participation},
month = {11},
pages = {1-6},
publisher = {IEEE},
title = {Fostering government transparency and public participation through linked open government data: Case study: Indonesian public information service},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7062655},
year = {2014},
}
  • [DOI] S. Biffl, M. Kalinowski, R. Rabiser, F. J. Ekaputra, and D. Winkler, “Systematic Knowledge Engineering: Building Bodies of Knowledge from Published Research,” International Journal of Software Engineering and Knowledge Engineering, vol. 24, pp. 1533-1572, 2014.
    [Bibtex] 
    @article{DBLP:journals/ijseke/BifflKREW14,
abstract = {Context. Software engineering researchers conduct systematic literature reviews (SLRs) to build bodies of knowledge (BoKs). Unfortunately, relevant knowledge collected in the SLR process is not publicly available, which considerably slows down building BoKs incrementally. Objective. We present and evaluate the Systematic Knowledge Engineering (SKE) process to support efficiently building BoKs from published research. Method. SKE is based on the SLR process and on Knowledge Engineering practices to build a Knowledge Base (KB) by reusing intermediate data extraction results from SLRs. We evaluated the feasibility of applying SKE by building a Software Inspection BoK KB from published experiments and a Software Product Line BoK KB from published experience reports. We compared the effort, benefits, and risks of building BoK KBs regarding the SKE and the traditional SLR processes. Results. The application of SKE for incrementally collecting and organizing knowledge in the context of a BoK was feasible for different domains and different types of evidence. While the efforts for conducting the SKE and traditional SLR processes are comparable, SKE provides significant benefits for building BoKs. Conclusions. SKE enables researchers in a scientific community to reuse and incrementally build knowledge in a BoK. SKE is ready to be evaluated in other software engineering domains.},
author = {Stefan Biffl and Marcos Kalinowski and Rick Rabiser and Fajar J Ekaputra and Dietmar Winkler},
doi = {10.1142/S021819401440018X},
isbn = {0218194014400},
issn = {0218-1940},
issue = {10},
journal = {International Journal of Software Engineering and Knowledge Engineering},
keywords = {Empirical software engineering,body of knowledge,software inspection,software product lines,systematic knowledge engineering,systematic review},
month = {12},
pages = {1533-1572},
title = {Systematic Knowledge Engineering: Building Bodies of Knowledge from Published Research},
volume = {24},
url = {https://doi.org/10.1142/S021819401440018X},
year = {2014},
}
  • [DOI] F. Hanika, G. Wohlgenannt, and M. Sabou, “The uComp protégé plugin: Crowdsourcing enabled ontology engineering,” in International Conference on Knowledge Engineering and Knowledge Management, EKAW, 2014, pp. 181-196.
    [Bibtex] 
    @inproceedings{Hanika2014,
abstract = {©Springer International Publishing Switzerland 2014. Crowdsourcing techniques have been shown to provide effective means for solving a variety of ontology engineering problems. Yet, they are mainly being used as external means to ontology engineering, without being closely integrated into the work of ontology engineers. In this paper we investigate how to closely integrate crowdsourcing into ontology engineering practices. Firstly, we show that a set of basic crowdsourcing tasks are used recurrently to solve a range of ontology engineering problems. Secondly, we present the uComp Protégé plugin that facilitates the integration of such typical crowdsourcing tasks into ontology engineering work from within the Protégé ontology editing environment. An evaluation of the plugin in a typical ontology engineering scenario where ontologies are built from automatically learned semantic structures, shows that its use reduces the working times for the ontology engineers 11 times, lowers the overall task costs with 40\{\%\} to 83\{\%\} depending on the crowdsourcing settings used and leads to data quality comparable with that of tasks performed by ontology engineers.},
author = {F Hanika and G Wohlgenannt and M Sabou},
doi = {10.1007/978-3-319-13704-9_14},
isbn = {9783319137032},
booktitle = {International Conference on Knowledge Engineering and Knowledge Management, EKAW},
pages = {181-196},
title = {The uComp protégé plugin: Crowdsourcing enabled ontology engineering},
volume = {8876},
year = {2014},
}
  • [DOI] F. J. Ekaputra, E. Serral, and S. Biffl, “Building an empirical software engineering research knowledge base from heterogeneous data sources,” in Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business i-KNOW, 2014, pp. 1-8.
    [Bibtex] 
    @inproceedings{Ekaputra2014Building,
abstract = {©Copyright 2014 ACM. Recently, the Systematic Knowledge Engineering (SKE) process has been introduced to help researchers build up an empirical software engineering (EMSE) Body of Knowledge (BoK) based on a systematic literature review process. However, the SKE process does not explain how to effectively capture and represent the EMSE knowledge to enable efficient data analysis. In this paper, we introduce the EMSE Research Knowledge Base Building (RKB) process, which guides knowledge engineers in developing and using a knowledge base (KB) for the SKE process based on contributions from heterogeneous data sources. We evaluate the RKB process in the context of three research topics from the EMSE domain: software inspection experiments, theory construct identification, and threats to validity. Major results are that the RKB process is effective in guiding the knowledge engineer to build a KB that allows answering the EMSE-specific queries. The RKB process shows promising results in the EMSE research context and should be investigated in other research contexts as well.},
author = {Fajar J Ekaputra and Estefanía Serral and Stefan Biffl},
city = {New York, New York, USA},
doi = {10.1145/2637748.2638408},
isbn = {9781450327695},
booktitle = {Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business i-KNOW },
keywords = {Design and architecture of data sharing facilities,Digital research libraries,Empirical software engineering,Metadata representation,Science 2.0,Systematic knowledge engineering process},
pages = {1-8},
publisher = {ACM Press},
title = {Building an empirical software engineering research knowledge base from heterogeneous data sources},
volume = {16-19-Sept},
url = {http://dl.acm.org/citation.cfm?doid=2637748.2638408},
year = {2014},
}
  • [DOI] A. Grünwald, D. Winkler, M. Sabou, and S. Biffl, “The Semantic Model Editor: Efficient Data Modeling and Integration Based on OWL Ontologies,” in Proceedings of the 10th International Conference on Semantic Systems, 2014, pp. 116-123.
    [Bibtex] 
    @inproceedings{Grunwald2014,
author = {Andreas Grünwald and Dietmar Winkler and Marta Sabou and Stefan Biffl},
doi = {10.1145/2660517.2660526},
isbn = {978-1-4503-2927-9},
booktitle = {Proceedings of the 10th International Conference on Semantic Systems},
keywords = {IT project management,OWL,data integration,data models,feasibility study,semantic model editor},
pages = {116-123},
title = {The Semantic Model Editor: Efficient Data Modeling and Integration Based on OWL Ontologies},
url = {http://doi.acm.org/10.1145/2660517.2660526},
year = {2014},
}
  • [DOI] M. Sabou, M. Maleshkova, and J. Z. Pan, “Semantically Enabling Web Service Repositories,” in Semantic Web Enabled Software Engineering, J. Z. Pan and Y. Zhao, Eds., IOS Press, 2014, vol. 17, pp. 139-157.
    [Bibtex] 
    @inbook{DBLP:books/ios/p/SabouMP14,
author = {Marta Sabou and Maria Maleshkova and Jeff Z Pan},
doi = {10.3233/978-1-61499-370-4-139},
editor = {Jeff Z Pan and Yuting Zhao},
booktitle = {Semantic Web Enabled Software Engineering},
pages = {139-157},
publisher = {IOS Press},
title = {Semantically Enabling Web Service Repositories},
volume = {17},
url = {https://doi.org/10.3233/978-1-61499-370-4-139},
year = {2014},
}
  • M. Sabou, K. Bontcheva, L. Derczynski, and A. Scharl, “Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines,” in Proceedings of the Ninth International Conference on Language Resources and Evaluation, LREC, 2014, pp. 859-866.
    [Bibtex] 
    @inproceedings{DBLP:conf/lrec/SabouBDS14,
author = {Marta Sabou and Kalina Bontcheva and Leon Derczynski and Arno Scharl},
editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asunción Moreno and Jan Odijk and Stelios Piperidis},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation, LREC},
pages = {859-866},
publisher = {European Language Resources Association \{\\{\}(ELRA)\{\\}\}},
title = {Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines},
url = {https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=2435b48cc30e30f3849b9670f263b501ba9c0024},
year = {2014},
}
  • F. Hanika, G. Wohlgenannt, and M. Sabou, “The uComp Protege Plugin for Crowdsourcing Ontology Validation,” in Posters and Demonstrations Track within the 13th International Semantic Web Conference, 2014, pp. 253-256.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/HanikaWS14,
author = {Florian Hanika and Gerhard Wohlgenannt and Marta Sabou},
editor = {Matthew Horridge and Marco Rospocher and Jacco van Ossenbruggen},
booktitle = {Posters and Demonstrations Track within the 13th International Semantic Web Conference},
pages = {253-256},
publisher = {CEUR-WS.org},
title = {The uComp Protege Plugin for Crowdsourcing Ontology Validation},
volume = {1272},
url = {https://ceur-ws.org/Vol-1272/paper_37.pdf},
year = {2014},
}
  • [DOI] O. Kovalenko, E. Serral, M. Sabou, F. J. Ekaputra, D. Winkler, and S. Biffl, “Automating Cross-Disciplinary Defect Detection in Multi-disciplinary Engineering Environments,” in Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW, 2014, pp. 238-249.
    [Bibtex] 
    @inproceedings{Kovalenko2014238,
abstract = {Multi-disciplinary engineering (ME) projects are conducted in complex heterogeneous environments, where participants, originating from different disciplines, e.g., mechanical, electrical, and software engineering, collaborate to satisfy project and product quality as well as time constraints. Detecting defects across discipline boundaries early and efficiently in the engineering process is a challenging task due to heterogeneous data sources. In this paper we explore how Semantic Web technologies can address this challenge and present the Ontology-based Cross-Disciplinary Defect Detection (OCDD) approach that supports automated cross-disciplinary defect detection in ME environments, while allowing engineers to keep their well-known tools, data models, and their customary engineering workflows. We evaluate the approach in a case study at an industry partner, a large-scale industrial automation software provider, and report on our experiences and lessons learned. Major result was that the OCDD approach was found useful in the evaluation context and more efficient than manual defect detection, if cross-disciplinary defects had to be handled.},
author = {Olga Kovalenko and Estefanía Serral and Marta Sabou and Fajar J Ekaputra and Dietmar Winkler and Stefan Biffl},
doi = {10.1007/978-3-319-13704-9_19},
booktitle = {Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW},
pages = {238-249},
title = {Automating Cross-Disciplinary Defect Detection in Multi-disciplinary Engineering Environments},
year = {2014},
}
  • [DOI] S. Biffl, M. Kalinowski, F. J. Ekaputra, A. A. Neto, T. Conte, and D. Winkler, “Towards a semantic knowledge base on threats to validity and control actions in controlled experiments,” in Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement – ESEM, 2014, pp. 1-4.
    [Bibtex] 
    @inproceedings{Biffl2014Towards,
abstract = {[Context] Experiment planners need to be aware of relevant Threats to Validity (TTVs), so they can devise effective control actions or accept the risk. [Objective] The aim of this paper is to introduce a TTV knowledge base (KB) that supports experiment planners in identifying relevant TTVs in their research context and actions to control these TTVs. [Method] We identified requirements, designed and populated a TTV KB with data extracted during a systematic review: 63 TTVs and 149 control actions from 206 peer-reviewed published software engineering experiments. We conducted an initial proof of concept on the feasibility of using the TTV KB and analyzed its content. [Results] The proof of concept and content analysis provided indications that experiment planners can benefit from an extensible TTV KB for identifying relevant TTVs and control actions in their specific context. [Conclusions] The TTV KB should be further evaluated and evolved in a variety of software engineering contexts.},
author = {Stefan Biffl and Marcos Kalinowski and Fajar J Ekaputra and Amadeu Anderlin Neto and Tayana Conte and Dietmar Winkler},
city = {New York, New York, USA},
doi = {10.1145/2652524.2652568},
isbn = {9781450327749},
issn = {19493789},
issue = {August},
booktitle = {Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM},
keywords = {body of knowledge,controlled experiment,knowledge engineering,systematic review,threats to validity},
pages = {1-4},
publisher = {ACM Press},
title = {Towards a semantic knowledge base on threats to validity and control actions in controlled experiments},
url = {http://dl.acm.org/citation.cfm?doid=2652524.2652568},
year = {2014},
}
  • [DOI] F. J. Ekaputra, E. Serral, D. Winkler, and S. Biffl, “A semantic framework for data integration and communication in project consortia,” in Proceedings of International Conference on Data and Software Engineering, ICODSE, 2014, pp. 1-6.
    [Bibtex] 
    @inproceedings{Ekaputra2014semantic,
abstract = {©2014 IEEE. Engineering project consortia represents the collaboration of different groups of partners to achieve a common goal, e.g., developing innovative products. This collaboration may be challenging because of different terminologies and different tools and data models used by the project partners. In this work, we present the concept of a Project Consortia Knowledge Base (PC-KB), an integration framework based on semantic knowledge that facilitates project-level communication as well as access to and querying of project data across tool and partner boundaries. The PC-KB allows establishing common data models on different abstraction layers within the consortia organization. Using these common models, the PC-KB integrates partner data to provide (a) a common terminology for facilitating communication among project partners and (b) a common consistent view for efficient data integration. The PC-KB has been successfully applied in the automation systems domain to improve collaboration and data exchange in heterogeneous engineering environments.},
author = {Fajar J Ekaputra and Estefanía Serral and Dietmar Winkler and Stefan Biffl},
doi = {10.1109/ICODSE.2014.7062487},
isbn = {9781479979967},
institution = {IEEE},
booktitle = {Proceedings of International Conference on Data and Software Engineering, ICODSE},
keywords = {Project consortia,communication,data integration,heterogeneous data environments},
month = {11},
pages = {1-6},
publisher = {IEEE},
title = {A semantic framework for data integration and communication in project consortia},
year = {2014},
}
  • [DOI] D. Winkler, F. J. Ekaputra, E. Serral, and S. Biffl, “Efficient data integration and communication issues in distributed engineering projects and project consortia,” in Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business – i-KNOW, 2014, pp. 1-4.
    [Bibtex] 
    @inproceedings{Winkler2014Efficient,
abstract = {©Copyright 2014 ACM. An engineering project consortium represents the collaboration of different groups of partners to achieve a common goal, e.g., developing innovative products. This collaboration may be challenging because of different terminologies and different tools and data models used by the project partners. In this work, we present the concept of a Project Consortia Knowledge Base (PC-KB), an integration framework based on semantic knowledge that facilitates project-level communication as well as access to and querying of project data across tool and partner boundaries. The PC-KB allows establishing common data models on different abstraction layers within the consortium organization. Using these common models, the PC-KB integrates partner data to provide (a) a common terminology for facilitating communication among project partners and (b) a common consistent view for efficient data integration. The PC-KB has been successfully applied in the automation systems domain to improve collaboration and data exchange in heterogeneous engineering environments.},
author = {Dietmar Winkler and Fajar J Ekaputra and Estefanía Serral and Stefan Biffl},
city = {New York, New York, USA},
doi = {10.1145/2637748.2638442},
isbn = {9781450327695},
booktitle = {Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW},
keywords = {communication,data integration,heterogeneous data environments,project consortium},
month = {9},
note = {From Duplicate 2 (Efficient data integration and communication issues in distributed engineering projects and project consortia - Winkler, Dietmar; Ekaputra, Fajar J.; Serral, Estefanía Estefania; Biffl, Stefan)

    From Duplicate 3 (Efficient data integration and communication issues in distributed engineering projects and project consortia - Winkler, Dietmar; Ekaputra, Fajar J.; Serral, Estefania; Biffl, Stefan)

    conceptual paper},
pages = {1-4},
publisher = {ACM Press},
title = {Efficient data integration and communication issues in distributed engineering projects and project consortia},
volume = {16-19-Sept},
url = {http://dl.acm.org/citation.cfm?id=2637748.2638442%7B%5C%25%7D0Ahttp://dl.acm.org/citation.cfm?doid=2637748.2638442},
year = {2014},
}
  • S. Biffl, M. Kalinowski, F. J. Ekaputra, E. Serral, and D. Winkler, “Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering,” in International Conference on Software Engineering and Knowledge Engineering, SEKE, 2014.
    [Bibtex] 
    @inproceedings{Biffl2014Building,
abstract = {[Context] Empirical software engineering (EMSE) researchers conduct systematic literature reviews (SLRs) to build bodies of knowledge (BoKs). Unfortunately, valuable knowledge collected in the SLR process is publicly available only to a limited extent, which considerably slows down building BoKs incrementally. [Objective] In this paper, we introduce the Systematic Knowledge Engineering (SKE) process to support building up BoKs from empirical studies efficiently. [Method] SKE is based on the SLR process and on Knowledge Engineering (KE) practices to provide a Knowledge Base (KB) with semantic technologies that enable reusing intermediate data extraction results and querying of empirical evidence. We evaluated SKE by building a software inspection EMSE BoK KB from knowledge acquired by controlled experiments. We elicited relevant queries from EMSE researchers and systematically integrated information from 30 representative research papers into the KB. [Results] The resulting KB was effective in answering the queries, enabling knowledge reuse for analyses beyond the results from the SLR process. [Conclusion] SKE showed promising results in the software inspection context and should be evaluated in other contexts for building EMSE BoKs faster.},
author = {Stefan Biffl and Marcos Kalinowski and Fajar J Ekaputra and Estefanía Serral and Dietmar Winkler},
issn = {23259086},
institution = {Vienna University of Technology, Technical Report No. IFS-CDL 13-03 (submitted to ICSE)},
booktitle = {International Conference on Software Engineering and Knowledge Engineering, SEKE},
keywords = {-empirical software engineering,considerably less efficient than,gineering,meta-anal-,moreover,necessary,not allowing,software inspection,systematic knowledge en-,systematic review,the presented research synthesis,yses are limited to},
title = {Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering},
year = {2014},
}

2013

  • [DOI] M. Sabou, K. Bontcheva, A. Scharl, and M. Föls, “Games with a Purpose or Mechanised Labour?: A Comparative Study,” in 13th International Conference on Knowledge Management and Knowledge Technologies, I-KNOW, 2013, p. 19:1–19:8.
    [Bibtex] 
    @inproceedings{DBLP:conf/iknow/SabouBSF13,
author = {Marta Sabou and Kalina Bontcheva and Arno Scharl and Michael Föls},
doi = {10.1145/2494188.2494210},
editor = {Stefanie N Lindstaedt and Michael Granitzer},
booktitle = {13th International Conference on Knowledge Management and Knowledge Technologies, I-KNOW },
pages = {19:1--19:8},
publisher = {ACM},
title = {Games with a Purpose or Mechanised Labour?: A Comparative Study},
url = {https://doi.org/10.1145/2494188.2494210},
year = {2013},
}
  • [DOI] M. Sabou, A. Scharl, F. Michael, and M. Föls, “Crowdsourced Knowledge Acquisition: Towards Hybrid-genre Workflows,” International Journal On Semantic Web and Information SystemsInternational Journal On Semantic Web and Information Systems, vol. 9, pp. 14-41, 2013.
    [Bibtex] 
    @article{Sabou2013,
abstract = {Novel social media collaboration platforms, such as games with a purpose and mechanised labour marketplaces, are increasingly used for enlisting large populations of non-experts in crowdsourced knowledge acquisition processes. Climate Quiz uses this paradigm for acquiring environmental domain knowledge from non-experts. The game's usage statistics and the quality of the produced data show that Climate Quiz has managed to attract a large number of players but noisy input data and task complexity led to low player engagement and suboptimal task throughput and data quality. To address these limitations, the authors propose embedding the game into a hybrid-genre workflow, which supplements the game with a set of tasks outsourced to micro-workers, thus leveraging the complementary nature of games with a purpose and mechanised labour platforms. Experimental evaluations suggest that such workflows are feasible and have positive effects on the game's enjoyment level and the quality of its output.},
author = {Marta Sabou and Arno Scharl and Föls Michael and Michael Föls},
doi = {10.4018/ijswis.2013070102},
issn = {1552-6283},
issue = {3},
journal = {International Journal On Semantic Web and Information SystemsInternational Journal On Semantic Web and Information Systems},
keywords = {climate change,crowdflower,crowdsourcing,games with a purpose,knowledge acquisition,mechanised labour,workflow},
pages = {14-41},
title = {Crowdsourced Knowledge Acquisition: Towards Hybrid-genre Workflows},
volume = {9},
url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijswis.2013070102},
year = {2013},
}
  • [DOI] F. J. Ekaputra, E. Serral, D. Winkler, and S. Biffl, “An analysis framework for ontology querying tools,” in Proceedings of the 9th International Conference on Semantic Systems I-SEMANTICS, 2013, p. 1.
    [Bibtex] 
    @inproceedings{Ekaputra2013analysis,
abstract = {While knowledge querying is a key capability of ontologies, the query language recommended by W3C, SPARQL, is not easy to use for some user types, e.g., casual users and domain experts. To improve this drawback, user-friendly Ontology Query Tools (OQTs) have been introduced. However, there is, to our knowledge, no comprehensive framework for researchers and practitioners to compare the capabilities of the wide range of available OQTs. In this paper we introduce, based on a systematic literature review, a framework that allows researchers and practitioners to classify and compare OQTs regarding their capabilities and their support for relevant user types and scenarios. We evaluate the framework based on a real-world use case. Major result of the evaluation was that the framework was found useful and usable by users from the target audience to identify the most suitable OQTs for their context.},
author = {Fajar J Ekaputra and Estefanía Serral and Dietmar Winkler and Stefan Biffl},
city = {New York, New York, USA},
doi = {10.1145/2506182.2506183},
isbn = {9781450319720},
booktitle = {Proceedings of the 9th International Conference on Semantic Systems I-SEMANTICS},
keywords = {analysis framework,ontology querying,ontology tools,user interaction},
pages = {1},
publisher = {ACM Press},
title = {An analysis framework for ontology querying tools},
url = {http://dl.acm.org/citation.cfm?doid=2506182.2506183},
year = {2013},
}
  • [DOI] A. Scharl, A. Hubmann-Haidvogel, A. Weichselbraun, H. Lang, and M. Sabou, “Media Watch on Climate Change – Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources,” in 46th Hawaii International Conference on System Sciences, HICSS, 2013, pp. 955-964.
    [Bibtex] 
    @inproceedings{DBLP:conf/hicss/ScharlHWLS13,
author = {Arno Scharl and Alexander Hubmann-Haidvogel and Albert Weichselbraun and Heinz-Peter Lang and Marta Sabou},
doi = {10.1109/HICSS.2013.398},
booktitle = {46th Hawaii International Conference on System Sciences, HICSS},
pages = {955-964},
publisher = {\{\\{\}IEEE\{\\}\} Computer Society},
title = {Media Watch on Climate Change - Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources},
url = {https://doi.org/10.1109/HICSS.2013.398},
year = {2013},
}
  • [DOI] W. D. Sunindyo and F. J. Ekaputra, “OSMF: A framework for OSS process measurement,” in ICT-EurAsia: Information and Communication Technology, 2013, pp. 71-80.
    [Bibtex] 
    @inproceedings{sunindyo2013osmf,
abstract = {An Open Source Software (OSS) project can be considered as a new type of business entity involving various roles and stakeholders, e.g., project managers, developers, and users, who apply individual methods. The project managers have the responsibility to manage the OSS development in a way that the OSS product can be delivered to the customers in time and with good quality. This responsibility is challenging, because the heterogeneity of the data collected and analyzed from different stakeholders leads to the complexity of efforts of the project managers to measure and manage OSS projects. In this paper, we propose a measurement framework (OSMF) to enable the project managers to collect and analyze process data from OSS projects efficiently. Initial results show that OSMF can help project managers to manage OSS business processes more efficient, hence improve the decision on OSS project quality. ©2013 Springer-Verlag.},
author = {Wikan D Sunindyo and Fajar J Ekaputra},
doi = {10.1007/978-3-642-36818-9_8},
isbn = {9783642368172},
issn = {03029743},
institution = {Springer Berlin Heidelberg},
booktitle = {ICT-EurAsia: Information and Communication Technology},
keywords = {Open Source Software,process observation,project management,software quality},
pages = {71-80},
title = {OSMF: A framework for OSS process measurement},
volume = {7804 LNCS},
url = {http://link.springer.com/10.1007/978-3-642-36818-9%7B%5C_%7D8},
year = {2013},
}
  • [DOI] A. Scharl, A. Hubmann-Haidvogel, M. Sabou, A. Weichselbraun, and H. Lang, “From Web Intelligence to Knowledge Co-Creation: A Platform for Analyzing and Supporting Stakeholder Communication,” IEEE Internet Computing, vol. 17, pp. 21-29, 2013.
    [Bibtex] 
    @article{DBLP:journals/internet/ScharlHSWL13,
author = {Arno Scharl and Alexander Hubmann-Haidvogel and Marta Sabou and Albert Weichselbraun and Heinz-Peter Lang},
doi = {10.1109/MIC.2013.59},
issue = {5},
journal = {IEEE Internet Computing},
pages = {21-29},
title = {From Web Intelligence to Knowledge Co-Creation: A Platform for Analyzing and Supporting Stakeholder Communication},
volume = {17},
url = {https://doi.org/10.1109/MIC.2013.59},
year = {2013},
}
  • [DOI] M. Sabou, I. Arsal, and A. M. P. Brasoveanu, “TourMISLOD: A tourism linked data set,” Semantic Web, vol. 4, pp. 271-276, 2013.
    [Bibtex] 
    @article{DBLP:journals/semweb/SabouAB13,
author = {Marta Sabou and Irem Arsal and Adrian M P Brasoveanu},
doi = {10.3233/SW-2012-0087},
issue = {3},
journal = {Semantic Web},
pages = {271-276},
title = {TourMISLOD: A tourism linked data set},
volume = {4},
url = {https://doi.org/10.3233/SW-2012-0087},
year = {2013},
}

2012

  • [DOI] M. Sabou, K. Bontcheva, and A. Scharl, “Crowdsourcing research opportunities: lessons from natural language processing,” in 12th International Conference on Knowledge Management and Knowledge Technologies, I-KNOW, 2012, p. 17.
    [Bibtex] 
    @inproceedings{DBLP:conf/iknow/SabouBS12,
author = {Marta Sabou and Kalina Bontcheva and Arno Scharl},
doi = {10.1145/2362456.2362479},
editor = {Stefanie N Lindstaedt and Michael Granitzer},
booktitle = {12th International Conference on Knowledge Management and Knowledge Technologies, I-KNOW},
pages = {17},
publisher = {ACM},
title = {Crowdsourcing research opportunities: lessons from natural language processing},
url = {https://doi.org/10.1145/2362456.2362479},
year = {2012},
}
  • A. Scharl, M. Sabou, S. Gindl, W. Rafelsberger, and A. Weichselbraun, “Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources,” in Proceedings of the Eighth International Conference on Language Resources and Evaluation, LREC, 2012, pp. 379-383.
    [Bibtex] 
    @inproceedings{DBLP:conf/lrec/ScharlSGRW12,
author = {Arno Scharl and Marta Sabou and Stefan Gindl and Walter Rafelsberger and Albert Weichselbraun},
editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation, LREC},
pages = {379-383},
publisher = {European Language Resources Association \{\\{\}(ELRA)\{\\}\}},
title = {Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources},
url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/210_Paper.pdf},
year = {2012},
}
  • G. Wohlgenannt, A. Weichselbraun, A. Scharl, and M. Sabou, “Confidence Management for Learning Ontologies from Dynamic Web Sources,” in KEOD – Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2012, pp. 172-177.
    [Bibtex] 
    @inproceedings{DBLP:conf/ic3k/WohlgenanntWSS12,
author = {Gerhard Wohlgenannt and Albert Weichselbraun and Arno Scharl and Marta Sabou},
editor = {Joaquim Filipe and Jan L G Dietz},
booktitle = {KEOD - Proceedings of the International Conference on Knowledge Engineering and Ontology Development},
pages = {172-177},
publisher = {SciTePress},
title = {Confidence Management for Learning Ontologies from Dynamic Web Sources},
year = {2012},
}
  • [DOI] M. Sabou, A. M. P. Brasoveanu, and I. Arsal, “Supporting tourism decision making with linked data,” in 8th International Conference on Semantic Systems, I-SEMANTICS, 2012, pp. 201-204.
    [Bibtex] 
    @inproceedings{DBLP:conf/i-semantics/SabouBA12,
author = {Marta Sabou and Adrian M P Brasoveanu and Irem Arsal},
doi = {10.1145/2362499.2362533},
editor = {Valentina Presutti and Helena Sofia Pinto},
booktitle = {8th International Conference on Semantic Systems, I-SEMANTICS},
pages = {201-204},
publisher = {ACM},
title = {Supporting tourism decision making with linked data},
url = {https://doi.org/10.1145/2362499.2362533},
year = {2012},
}
  • [DOI] A. Scharl, M. Sabou, and M. Föls, “Climate quiz: a web application for eliciting and validating knowledge from social networks,” in Brazilian Symposium on Multimedia and the Web, WebMedia, 2012, pp. 189-192.
    [Bibtex] 
    @inproceedings{DBLP:conf/webmedia/ScharlSF12,
author = {Arno Scharl and Marta Sabou and Michael Föls},
doi = {10.1145/2382636.2382677},
editor = {Graça Bressan and Regina Melo Silveira and Ethan V Munson and André Santanchà and Maria da Graça Campos Pimentel},
booktitle = {Brazilian Symposium on Multimedia and the Web, WebMedia},
pages = {189-192},
publisher = {ACM},
title = {Climate quiz: a web application for eliciting and validating knowledge from social networks},
url = {https://doi.org/10.1145/2382636.2382677},
year = {2012},
}
  • A. Hubmann-Haidvogel, A. M. P. Brasoveanu, A. Scharl, M. Sabou, and S. Gindl, “Visualizing Contextual and Dynamic Features of Micropost Streams,” in Proceedings of the WWW Workshop on ‘Making Sense of Microposts’, 2012, pp. 34-40.
    [Bibtex] 
    @inproceedings{DBLP:conf/msm/Hubmann-HaidvogelBSSG12,
author = {Alexander Hubmann-Haidvogel and Adrian M P Brasoveanu and Arno Scharl and Marta Sabou and Stefan Gindl},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie},
booktitle = {Proceedings of the WWW Workshop on 'Making Sense of Microposts'},
pages = {34-40},
publisher = {CEUR-WS.org},
title = {Visualizing Contextual and Dynamic Features of Micropost Streams},
volume = {838},
url = {https://ceur-ws.org/Vol-838/paper_05.pdf},
year = {2012},
}
  • G. Wohlgenannt, A. Weichselbraun, A. Scharl, and M. Sabou, “Dynamic Integration of Multiple Evidence Sources for Ontology Learning,” JIDM, vol. 3, pp. 243-254, 2012.
    [Bibtex] 
    @article{DBLP:journals/jidm/WohlgenanntWSS12,
author = {Gerhard Wohlgenannt and Albert Weichselbraun and Arno Scharl and Marta Sabou},
issue = {3},
journal = {JIDM},
pages = {243-254},
title = {Dynamic Integration of Multiple Evidence Sources for Ontology Learning},
volume = {3},
year = {2012},
}
  • [DOI] A. Scharl, A. Hubmann-Haidvogel, A. Weichselbraun, G. Wohlgenannt, H. Lang, and M. Sabou, “Extraction and interactive exploration of knowledge from aggregated news and social media content,” in ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS, 2012, pp. 163-168.
    [Bibtex] 
    @inproceedings{DBLP:conf/eics/ScharlHWWLS12,
author = {Arno Scharl and Alexander Hubmann-Haidvogel and Albert Weichselbraun and Gerhard Wohlgenannt and Heinz-Peter Lang and Marta Sabou},
doi = {10.1145/2305484.2305511},
editor = {Simone Diniz Junqueira Barbosa and José Creissac Campos and Rick Kazman and Philippe A Palanque and Michael D Harrison and Steve Reeves},
booktitle = {ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS},
pages = {163-168},
publisher = {ACM},
title = {Extraction and interactive exploration of knowledge from aggregated news and social media content},
url = {https://doi.org/10.1145/2305484.2305511},
year = {2012},
}
  • [DOI] M. Sabou and M. Fernández, “Ontology (Network) Evaluation,” in Ontology Engineering in a Networked World, M. C. Suárez-Figueroa, A. Gómez-Pérez, E. Motta, and A. Gangemi, Eds., Springer, 2012, pp. 193-212.
    [Bibtex] 
    @inbook{DBLP:books/daglib/p/SabouF12,
author = {Marta Sabou and Miriam Fernández},
doi = {10.1007/978-3-642-24794-1_9},
editor = {Mari Carmen Suárez-Figueroa and Asunción Gómez-Pérez and Enrico Motta and Aldo Gangemi},
booktitle = {Ontology Engineering in a Networked World},
pages = {193-212},
publisher = {Springer},
title = {Ontology (Network) Evaluation},
url = {https://doi.org/10.1007/978-3-642-24794-1_9},
year = {2012},
}

2011

  • [DOI] I. Supriana and P. R. Aryan, “Direct skeleton extraction using river-lake algorithm,” in International Conference on Electrical Engineering and Informatics, ICEEI, 2011, pp. 1-3.
    [Bibtex] 
    @inproceedings{DBLP:conf/iceei/SuprianaA11,
author = {Iping Supriana and Peb Ruswono Aryan},
doi = {10.1109/ICEEI.2011.6021850},
editor = {Arief Syaichu-Rohman and Deny Hamdani and Saiful Akbar and Widyawardhana Adiprawita and Rozilawati Razali and Noraidah Sahari},
booktitle = {International Conference on Electrical Engineering and Informatics, ICEEI},
pages = {1-3},
publisher = {IEEE},
title = {Direct skeleton extraction using river-lake algorithm},
url = {https://doi.org/10.1109/ICEEI.2011.6021850},
year = {2011},
}
  • [DOI] P. R. Aryan, I. Supriana, and A. Purwarianti, “Development of indonesian handwritten text database for offline character recognition,” in International Conference on Electrical Engineering and Informatics, ICEEI, 2011, pp. 1-4.
    [Bibtex] 
    @inproceedings{DBLP:conf/iceei/AryanSP11,
author = {Peb Ruswono Aryan and Iping Supriana and Ayu Purwarianti},
doi = {10.1109/ICEEI.2011.6021582},
editor = {Arief Syaichu-Rohman and Deny Hamdani and Saiful Akbar and Widyawardhana Adiprawita and Rozilawati Razali and Noraidah Sahari},
booktitle = {International Conference on Electrical Engineering and Informatics, ICEEI},
pages = {1-4},
publisher = {IEEE},
title = {Development of indonesian handwritten text database for offline character recognition},
url = {https://doi.org/10.1109/ICEEI.2011.6021582},
year = {2011},
}
  • [DOI] V. López, V. S. Uren, M. Sabou, and E. Motta, “Is Question Answering fit for the Semantic Web?: A survey,” Semantic Web, vol. 2, pp. 125-155, 2011.
    [Bibtex] 
    @article{DBLP:journals/semweb/LopezUSM11,
author = {Vanessa López and Victoria S Uren and Marta Sabou and Enrico Motta},
doi = {10.3233/SW-2011-0041},
issue = {2},
journal = {Semantic Web},
pages = {125-155},
title = {Is Question Answering fit for the Semantic Web?: A survey},
volume = {2},
url = {https://doi.org/10.3233/SW-2011-0041},
year = {2011},
}
  • [DOI] S. Sempena, N. U. Maulidevi, and P. R. Aryan, “Human action recognition using Dynamic Time Warping,” in International Conference on Electrical Engineering and Informatics, ICEEI, 2011, pp. 1-5.
    [Bibtex] 
    @inproceedings{DBLP:conf/iceei/SempenaMA11,
author = {Samsu Sempena and Nur Ulfa Maulidevi and Peb Ruswono Aryan},
doi = {10.1109/ICEEI.2011.6021605},
editor = {Arief Syaichu-Rohman and Deny Hamdani and Saiful Akbar and Widyawardhana Adiprawita and Rozilawati Razali and Noraidah Sahari},
booktitle = {International Conference on Electrical Engineering and Informatics, ICEEI},
pages = {1-5},
publisher = {IEEE},
title = {Human action recognition using Dynamic Time Warping},
url = {https://doi.org/10.1109/ICEEI.2011.6021605},
year = {2011},
}

2010

  • [DOI] V. S. Uren, M. Sabou, E. Motta, M. Fernández, V. López, and Y. Lei, “Reflections on five years of evaluating semantic search systems,” IJMSO, vol. 5, pp. 87-98, 2010.
    [Bibtex] 
    @article{DBLP:journals/ijmso/UrenSMFLL10,
author = {Victoria S Uren and Marta Sabou and Enrico Motta and Miriam Fernández and Vanessa López and Yuangui Lei},
doi = {10.1504/IJMSO.2010.033280},
issue = {2},
journal = {IJMSO},
pages = {87-98},
title = {Reflections on five years of evaluating semantic search systems},
volume = {5},
url = {https://doi.org/10.1504/IJMSO.2010.033280},
year = {2010},
}
  • [DOI] M. Sabou, “Smart objects: Challenges for Semantic Web research,” Semantic Web, vol. 1, pp. 127-130, 2010.
    [Bibtex] 
    @article{Sabou2010,
abstract = {The increased availability and robustness of sensors, the wide-spread use of the internet as a communication environment and the intensified adoption of semantic technologies foster the vision of embedding intelligence in physical objects. The race of realizing this vision is pervasive to a variety of research fields, most notably ambient intelligence and semantic web, and leads to the proliferation of several overlapping definitions and terminologies: smart products, semantic devices, semantic gadgets - to which we collectively refer to as smart objects. What exactly are smart objects? And what are the research challenges in realizing them? We hereby explore the answers to these questions.},
author = {Marta Sabou},
doi = {10.3233/SW-2010-0011},
issue = {1-2},
journal = {Semantic Web},
keywords = {Ambient intelligence,Challenges,Semantic Web,Smart objects},
month = {4},
pages = {127-130},
publisher = {IOS Press},
title = {Smart objects: Challenges for Semantic Web research},
volume = {1},
year = {2010},
}
  • M. Fernández, M. Sabou, P. Knoth, and E. Motta, “Predicting the Quality of Semantic Relations by Applying Machine Learning Classifiers,” in Proceedings of the EKAW Poster and Demo Track, 2010.
    [Bibtex] 
    @inproceedings{DBLP:conf/ekaw/FernandezSKM10,
author = {Miriam Fernández and Marta Sabou and Peter Knoth and Enrico Motta},
editor = {Johanna Völker and Óscar Corcho},
booktitle = {Proceedings of the EKAW Poster and Demo Track},
publisher = {CEUR-WS.org},
title = {Predicting the Quality of Semantic Relations by Applying Machine Learning Classifiers},
volume = {674},
url = {http://ceur-ws.org/Vol-674/Paper92.pdf},
year = {2010},
}
  • [DOI] V. López, A. Nikolov, M. Sabou, V. S. Uren, E. Motta, and M. D’Aquin, “Scaling Up Question-Answering to Linked Data,” in Knowledge Engineering and Management by the Masses – 17th International Conference, EKAW, 2010, pp. 193-210.
    [Bibtex] 
    @inproceedings{DBLP:conf/ekaw/LopezNSUMd10,
author = {Vanessa López and Andriy Nikolov and Marta Sabou and Victoria S Uren and Enrico Motta and Mathieu D'Aquin},
doi = {10.1007/978-3-642-16438-5_14},
editor = {Philipp Cimiano and Helena Sofia Pinto},
booktitle = {Knowledge Engineering and Management by the Masses - 17th International Conference, EKAW},
pages = {193-210},
publisher = {Springer},
title = {Scaling Up Question-Answering to Linked Data},
volume = {6317},
url = {https://doi.org/10.1007/978-3-642-16438-5_14},
year = {2010},
}
  • [DOI] F. Zablith, M. D’Aquin, M. Sabou, and E. Motta, “Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution,” in Knowledge Engineering and Management by the Masses – 17th International Conference, EKAW, 2010, pp. 226-240.
    [Bibtex] 
    @inproceedings{DBLP:conf/ekaw/ZablithdSM10,
author = {Fouad Zablith and Mathieu D'Aquin and Marta Sabou and Enrico Motta},
doi = {10.1007/978-3-642-16438-5_16},
editor = {Philipp Cimiano and Helena Sofia Pinto},
booktitle = {Knowledge Engineering and Management by the Masses - 17th International Conference, EKAW},
pages = {226-240},
publisher = {Springer},
title = {Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution},
volume = {6317},
url = {https://doi.org/10.1007/978-3-642-16438-5_16},
year = {2010},
}

2009

  • F. Zablith, M. D’Aquin, M. Sabou, and E. Motta, “Investigating the Use of Background Knowledge for Assessing the Relevance of Statements to an Ontology in Ontology Evolution,” in Proceedings of the 3rd International Workshop on Ontology Dynamics, (IWOD) , collocated with the 8th International Semantic Web Conference (ISWC), 2009.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/ZablithdSM09,
author = {Fouad Zablith and Mathieu D'Aquin and Marta Sabou and Enrico Motta},
editor = {Mathieu D'Aquin and Grigoris Antoniou},
booktitle = {Proceedings of the 3rd International Workshop on Ontology Dynamics, (IWOD) , collocated with the 8th International Semantic Web Conference (ISWC)},
publisher = {CEUR-WS.org},
title = {Investigating the Use of Background Knowledge for Assessing the Relevance of Statements to an Ontology in Ontology Evolution},
volume = {519},
url = {http://ceur-ws.org/Vol-519/zablith.pdf},
year = {2009},
}
  • J. Euzenat, A. Ferrara, L. Hollink, A. Isaac, C. A. Joslyn, V. Malaisé, C. Meilicke, A. Nikolov, J. Pane, M. Sabou, F. Scharffe, P. Shvaiko, V. Spiliopoulos, H. Stuckenschmidt, O. Sváb-Zamazal, V. Svátek, C. T. dos Santos, G. A. Vouros, and S. Wang, “Results of the Ontology Alignment Evaluation Initiative 2009,” in Proceedings of the 4th International Workshop on Ontology Matching (OM) collocated with the 8th International Semantic Web Conference (ISWC), 2009.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/EuzenatFHIJMMNPSSSSSSSSVW08,
author = {Jérôme Euzenat and Alfio Ferrara and Laura Hollink and Antoine Isaac and Cliff A Joslyn and Véronique Malaisé and Christian Meilicke and Andriy Nikolov and Juan Pane and Marta Sabou and François Scharffe and Pavel Shvaiko and Vassilis Spiliopoulos and Heiner Stuckenschmidt and Ondrej Sváb-Zamazal and Vojtech Svátek and Cássia Trojahn dos Santos and George A Vouros and Shenghui Wang},
editor = {Pavel Shvaiko and Jérôme Euzenat and Fausto Giunchiglia and Heiner Stuckenschmidt and Natalya Fridman Noy and Arnon Rosenthal},
booktitle = {Proceedings of the 4th International Workshop on Ontology Matching (OM) collocated with the 8th International Semantic Web Conference (ISWC)},
publisher = {CEUR-WS.org},
title = {Results of the Ontology Alignment Evaluation Initiative 2009},
volume = {551},
url = {https://ceur-ws.org/Vol-551/oaei09_paper0.pdf},
year = {2009},
}
  • [DOI] M. Sabou, M. Fernández, and E. Motta, “Evaluating Semantic Relations by Exploring Ontologies on the Semantic Web,” in Natural Language Processing and Information Systems, 14th International Conference on Applications of Natural Language to Information Systems, NLDB. Revised Papers, 2009, pp. 269-280.
    [Bibtex] 
    @inproceedings{DBLP:conf/nldb/SabouFM09,
author = {Marta Sabou and Miriam Fernández and Enrico Motta},
doi = {10.1007/978-3-642-12550-8_22},
editor = {Helmut Horacek and Elisabeth Métais and Rafael Muñoz and Magdalena Wolska},
booktitle = {Natural Language Processing and Information Systems, 14th International Conference on Applications of Natural Language to Information Systems, NLDB. Revised Papers},
pages = {269-280},
publisher = {Springer},
title = {Evaluating Semantic Relations by Exploring Ontologies on the Semantic Web},
volume = {5723},
url = {https://doi.org/10.1007/978-3-642-12550-8_22},
year = {2009},
}
  • [DOI] S. Angeletou, M. Sabou, and E. Motta, “Folksonomy Enrichment and Search,” in The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC, 2009, pp. 801-805.
    [Bibtex] 
    @inproceedings{DBLP:conf/esws/AngeletouSM09,
author = {Sofia Angeletou and Marta Sabou and Enrico Motta},
doi = {10.1007/978-3-642-02121-3_59},
editor = {Lora Aroyo and Paolo Traverso and Fabio Ciravegna and Philipp Cimiano and Tom Heath and Eero Hyvönen and Riichiro Mizoguchi and Eyal Oren and Marta Sabou and Elena Paslaru Bontas Simperl},
booktitle = {The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC},
pages = {801-805},
publisher = {Springer},
title = {Folksonomy Enrichment and Search},
volume = {5554},
url = {https://doi.org/10.1007/978-3-642-02121-3_59},
year = {2009},
}
  • M. Sabou, J. Kantorovitch, A. Nikolov, A. Tokmakoff, X. Zhou, and E. Motta, “Position Paper on Realizing Smart Products: Challenges for Semantic Web Technologies,” in Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN), collocated with the 8th International Semantic Web Conference (ISWC), 2009, pp. 135-147.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/SabouKNTZM09,
author = {Marta Sabou and Julia Kantorovitch and Andriy Nikolov and Andrew Tokmakoff and Xiaoming Zhou and Enrico Motta},
editor = {Kerry Taylor and David De Roure},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN), collocated with the 8th International Semantic Web Conference (ISWC)},
pages = {135-147},
publisher = {CEUR-WS.org},
title = {Position Paper on Realizing Smart Products: Challenges for Semantic Web Technologies},
volume = {522},
url = {http://ceur-ws.org/Vol-522/p9.pdf},
year = {2009},
}
  • [DOI] S. Angeletou, M. Sabou, and E. Motta, “Improving search in folksonomies: a task based comparison of WordNet and ontologies,” in Proceedings of the 5th International Conference on Knowledge Capture (K-CAP), 2009, pp. 169-170.
    [Bibtex] 
    @inproceedings{DBLP:conf/kcap/AngeletouSM09,
author = {Sofia Angeletou and Marta Sabou and Enrico Motta},
doi = {10.1145/1597735.1597766},
editor = {Yolanda Gil and Natasha Fridman Noy},
booktitle = {Proceedings of the 5th International Conference on Knowledge Capture (K-CAP)},
pages = {169-170},
publisher = {ACM},
title = {Improving search in folksonomies: a task based comparison of WordNet and ontologies},
url = {https://doi.org/10.1145/1597735.1597766},
year = {2009},
}
  • [DOI] M. Fernández, C. Overbeeke, M. Sabou, and E. Motta, “What Makes a Good Ontology? A Case-Study in Fine-Grained Knowledge Reuse,” in The Semantic Web, Fourth Asian Conference, ASWC, 2009, pp. 61-75.
    [Bibtex] 
    @inproceedings{DBLP:conf/aswc/FernandezOSM09,
author = {Miriam Fernández and Chwhynny Overbeeke and Marta Sabou and Enrico Motta},
doi = {10.1007/978-3-642-10871-6_5},
editor = {Asunción Gómez-Pérez and Yong Yu and Ying Ding},
booktitle = {The Semantic Web, Fourth Asian Conference, ASWC},
pages = {61-75},
publisher = {Springer},
title = {What Makes a Good Ontology? A Case-Study in Fine-Grained Knowledge Reuse},
volume = {5926},
url = {https://doi.org/10.1007/978-3-642-10871-6_5},
year = {2009},
}
  • [DOI] M. D’Aquin, A. Schlicht, H. Stuckenschmidt, and M. Sabou, “Criteria and Evaluation for Ontology Modularization Techniques,” in Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization, H. Stuckenschmidt, C. Parent, and S. Spaccapietra, Eds., Springer, 2009, vol. 5445, pp. 67-89.
    [Bibtex] 
    @inbook{DBLP:series/lncs/dAquinSSS09,
author = {Mathieu D'Aquin and Anne Schlicht and Heiner Stuckenschmidt and Marta Sabou},
doi = {10.1007/978-3-642-01907-4_4},
editor = {Heiner Stuckenschmidt and Christine Parent and Stefano Spaccapietra},
booktitle = {Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization},
pages = {67-89},
publisher = {Springer},
title = {Criteria and Evaluation for Ontology Modularization Techniques},
volume = {5445},
url = {https://doi.org/10.1007/978-3-642-01907-4_4},
year = {2009},
}
  • [DOI] S. Angeletou, M. Sabou, and E. Motta, “Improving Folksonomies Using Formal Knowledge: A Case Study on Search,” in The Semantic Web, Fourth Asian Conference, ASWC, 2009, pp. 276-290.
    [Bibtex] 
    @inproceedings{DBLP:conf/aswc/AngeletouSM09,
author = {Sofia Angeletou and Marta Sabou and Enrico Motta},
doi = {10.1007/978-3-642-10871-6_19},
editor = {Asunción Gómez-Pérez and Yong Yu and Ying Ding},
booktitle = {The Semantic Web, Fourth Asian Conference, ASWC},
pages = {276-290},
publisher = {Springer},
title = {Improving Folksonomies Using Formal Knowledge: A Case Study on Search},
volume = {5926},
url = {https://doi.org/10.1007/978-3-642-10871-6_19},
year = {2009},
}
  • [DOI] V. López, V. S. Uren, M. Sabou, and E. Motta, “Cross ontology query answering on the semantic web: an initial evaluation,” in Proceedings of the 5th International Conference on Knowledge Capture (K-CAP), 2009, pp. 17-24.
    [Bibtex] 
    @inproceedings{DBLP:conf/kcap/LopezUSM09,
author = {Vanessa López and Victoria S Uren and Marta Sabou and Enrico Motta},
doi = {10.1145/1597735.1597739},
editor = {Yolanda Gil and Natasha Fridman Noy},
booktitle = {Proceedings of the 5th International Conference on Knowledge Capture (K-CAP)},
pages = {17-24},
publisher = {ACM},
title = {Cross ontology query answering on the semantic web: an initial evaluation},
url = {https://doi.org/10.1145/1597735.1597739},
year = {2009},
}
  • [DOI] V. López, A. Nikolov, M. Fernández, M. Sabou, V. S. Uren, and E. Motta, “Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds,” in The Semantic Web, Fourth Asian Conference, ASWC, 2009, pp. 135-152.
    [Bibtex] 
    @inproceedings{DBLP:conf/aswc/LopezNFSUM09,
author = {Vanessa López and Andriy Nikolov and Miriam Fernández and Marta Sabou and Victoria S Uren and Enrico Motta},
doi = {10.1007/978-3-642-10871-6_10},
editor = {Asunción Gómez-Pérez and Yong Yu and Ying Ding},
booktitle = {The Semantic Web, Fourth Asian Conference, ASWC},
pages = {135-152},
publisher = {Springer},
title = {Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds},
volume = {5926},
url = {https://doi.org/10.1007/978-3-642-10871-6_10},
year = {2009},
}
  • [DOI] F. Zablith, M. Sabou, M. D’Aquin, and E. Motta, “Ontology Evolution with Evolva,” in The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC, 2009, pp. 908-912.
    [Bibtex] 
    @inproceedings{DBLP:conf/esws/ZablithSdM09,
author = {Fouad Zablith and Marta Sabou and Mathieu D'Aquin and Enrico Motta},
doi = {10.1007/978-3-642-02121-3_80},
editor = {Lora Aroyo and Paolo Traverso and Fabio Ciravegna and Philipp Cimiano and Tom Heath and Eero Hyvönen and Riichiro Mizoguchi and Eyal Oren and Marta Sabou and Elena Paslaru Bontas Simperl},
booktitle = {The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC},
pages = {908-912},
publisher = {Springer},
title = {Ontology Evolution with Evolva},
volume = {5554},
url = {https://doi.org/10.1007/978-3-642-02121-3_80},
year = {2009},
}

2008

  • [DOI] M. Sabou, M. D’Aquin, and E. Motta, “Exploring the Semantic Web as Background Knowledge for Ontology Matching,” J. Data Semantics, vol. 11, pp. 156-190, 2008.
    [Bibtex] 
    @article{DBLP:journals/jods/SaboudM08,
author = {Marta Sabou and Mathieu D'Aquin and Enrico Motta},
doi = {10.1007/978-3-540-92148-6_6},
journal = {J. Data Semantics},
pages = {156-190},
title = {Exploring the Semantic Web as Background Knowledge for Ontology Matching},
volume = {11},
url = {https://doi.org/10.1007/978-3-540-92148-6_6},
year = {2008},
}
  • [DOI] M. Sabou, M. D’Aquin, and E. Motta, “SCARLET: SemantiC RelAtion DiscoveRy by Harvesting OnLinE OnTologies,” in The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC, 2008, pp. 854-858.
    [Bibtex] 
    @inproceedings{DBLP:conf/esws/SaboudM08,
author = {Marta Sabou and Mathieu D'Aquin and Enrico Motta},
doi = {10.1007/978-3-540-68234-9_72},
editor = {Sean Bechhofer and Manfred Hauswirth and Jörg Hoffmann and Manolis Koubarakis},
booktitle = {The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC},
pages = {854-858},
publisher = {Springer},
title = {SCARLET: SemantiC RelAtion DiscoveRy by Harvesting OnLinE OnTologies},
volume = {5021},
url = {https://doi.org/10.1007/978-3-540-68234-9_72},
year = {2008},
}
  • [DOI] M. D’Aquin, E. Motta, M. Dzbor, L. Gridinoc, T. Heath, and M. Sabou, “Collaborative Semantic Authoring,” IEEE Intelligent Systems, vol. 23, pp. 80-83, 2008.
    [Bibtex] 
    @article{DBLP:journals/expert/dAquinMDGHS08,
author = {Mathieu D'Aquin and Enrico Motta and Martin Dzbor and Laurian Gridinoc and Tom Heath and Marta Sabou},
doi = {10.1109/MIS.2008.43},
issue = {3},
journal = {IEEE Intelligent Systems},
pages = {80-83},
title = {Collaborative Semantic Authoring},
volume = {23},
url = {https://doi.org/10.1109/MIS.2008.43},
year = {2008},
}
  • [DOI] M. Fernández, V. López, M. Sabou, V. S. Uren, D. Vallet, E. Motta, and P. Castells, “Semantic Search Meets the Web,” in 2th IEEE International Conference on Semantic Computing (ICSC), 2008, pp. 253-260.
    [Bibtex] 
    @inproceedings{DBLP:conf/semco/FernandezLSUVMC08,
author = {Miriam Fernández and Vanessa López and Marta Sabou and Victoria S Uren and David Vallet and Enrico Motta and Pablo Castells},
doi = {10.1109/ICSC.2008.52},
booktitle = {2th IEEE International Conference on Semantic Computing (ICSC)},
pages = {253-260},
publisher = {\{\\{\}IEEE\{\\}\} Computer Society},
title = {Semantic Search Meets the Web},
url = {https://doi.org/10.1109/ICSC.2008.52},
year = {2008},
}
  • M. Sabou and J. Gracia, “Spider: Bringing Non-equivalence Mappings to OAEI,” in 3rd International Workshop on Ontology Matching (OM) Collocated with the 7th International Semantic Web Conference (ISWC), 2008.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/SabouG08,
author = {Marta Sabou and Jorge Gracia},
editor = {Pavel Shvaiko and Jérôme Euzenat and Fausto Giunchiglia and Heiner Stuckenschmidt},
booktitle = {3rd International Workshop on Ontology Matching (OM) Collocated with the 7th International Semantic Web Conference (ISWC)},
publisher = {CEUR-WS.org},
title = {Spider: Bringing Non-equivalence Mappings to OAEI},
volume = {431},
url = {https://ceur-ws.org/Vol-431/oaei08_paper11.pdf},
year = {2008},
}
  • [DOI] M. D’Aquin, E. Motta, M. Sabou, S. Angeletou, L. Gridinoc, V. López, and D. Guidi, “Toward a New Generation of Semantic Web Applications,” IEEE Intelligent Systems, vol. 23, pp. 20-28, 2008.
    [Bibtex] 
    @article{DBLP:journals/expert/dAquinMSAGLG08,
author = {Mathieu D'Aquin and Enrico Motta and Marta Sabou and Sofia Angeletou and Laurian Gridinoc and Vanessa López and Davide Guidi},
doi = {10.1109/MIS.2008.54},
issue = {3},
journal = {IEEE Intelligent Systems},
pages = {20-28},
title = {Toward a New Generation of Semantic Web Applications},
volume = {23},
url = {https://doi.org/10.1109/MIS.2008.54},
year = {2008},
}
  • [DOI] L. Gridinoc, M. Sabou, M. D’Aquin, M. Dzbor, and E. Motta, “Semantic Browsing with PowerMagpie,” in The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC, 2008, pp. 802-806.
    [Bibtex] 
    @inproceedings{DBLP:conf/esws/GridinocSdDM08,
author = {Laurian Gridinoc and Marta Sabou and Mathieu D'Aquin and Martin Dzbor and Enrico Motta},
doi = {10.1007/978-3-540-68234-9_62},
editor = {Sean Bechhofer and Manfred Hauswirth and Jörg Hoffmann and Manolis Koubarakis},
booktitle = {The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC},
pages = {802-806},
publisher = {Springer},
title = {Semantic Browsing with PowerMagpie},
volume = {5021},
url = {https://doi.org/10.1007/978-3-540-68234-9_62},
year = {2008},
}
  • M. Sabou, M. D’Aquin, and E. Motta, “Relation Discovery from the Semantic Web,” in Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC), 2008.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/SaboudM08,
author = {Marta Sabou and Mathieu D'Aquin and Enrico Motta},
editor = {Christian Bizer and Anupam Joshi},
booktitle = {Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC)},
publisher = {CEUR-WS.org},
title = {Relation Discovery from the Semantic Web},
volume = {401},
url = {https://ceur-ws.org/Vol-401/iswc2008pd_submission_19.pdf},
year = {2008},
}
  • M. D’Aquin, M. Sabou, and E. Motta, “Reusing Knowledge from the Semantic Web with the Watson Plugin,” in Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC), 2008.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/dAquinSM08,
author = {Mathieu D'Aquin and Marta Sabou and Enrico Motta},
editor = {Christian Bizer and Anupam Joshi},
booktitle = {Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC)},
publisher = {CEUR-WS.org},
title = {Reusing Knowledge from the Semantic Web with the Watson Plugin},
volume = {401},
url = {https://ceur-ws.org/Vol-401/iswc2008pd_submission_34.pdf},
year = {2008},
}
  • M. D’Aquin, M. Sabou, E. Motta, S. Angeletou, L. Gridinoc, V. López, and F. Zablith, “What Can be Done with the Semantic Web? An Overview Watson-based Applications,” in Proceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP), 2008.
    [Bibtex] 
    @inproceedings{DBLP:conf/swap/dAquinSMAGLZ08,
author = {Mathieu D'Aquin and Marta Sabou and Enrico Motta and Sofia Angeletou and Laurian Gridinoc and Vanessa López and Fouad Zablith},
editor = {Aldo Gangemi and Johannes Keizer and Valentina Presutti and Heiko Stoermer},
issn = {1613-0073},
booktitle = {Proceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP)},
publisher = {CEUR-WS.org},
title = {What Can be Done with the Semantic Web? An Overview Watson-based Applications},
volume = {426},
url = {https://oro.open.ac.uk/23522/1/swap.pdf},
year = {2008},
}

2007

  • [DOI] D. Robertson, F. Giunchiglia, F. van Harmelen, M. Marchese, M. Sabou, M. W. Schorlemmer, N. Shadbolt, R. Siebes, C. Sierra, C. Walton, S. Dasmahapatra, D. Dupplaw, P. H. Lewis, M. Yatskevich, S. Kotoulas, A. P. de Pinninck, and A. Loizou, “Open Knowledge,” in Languages, Methodologies and Development Tools for Multi-Agent Systems, First International Workshop, LADS. Revised Selected Papers, 2007, pp. 1-18.
    [Bibtex] 
    @inproceedings{DBLP:conf/lads/RobertsonGHMSSSSSWDDLYKPL07,
author = {David Robertson and Fausto Giunchiglia and Frank van Harmelen and Maurizio Marchese and Marta Sabou and W Marco Schorlemmer and Nigel Shadbolt and Ronny Siebes and Carles Sierra and Christopher Walton and Srinandan Dasmahapatra and David Dupplaw and Paul H Lewis and Mikalai Yatskevich and Spyros Kotoulas and Adrian Perreau de Pinninck and Antonis Loizou},
doi = {10.1007/978-3-540-85058-8_1},
editor = {Mehdi Dastani and Amal El Fallah-Seghrouchni and João Leite and Paolo Torroni},
booktitle = {Languages, Methodologies and Development Tools for Multi-Agent Systems, First International Workshop, LADS. Revised Selected Papers},
pages = {1-18},
publisher = {Springer},
title = {Open Knowledge},
volume = {5118},
url = {https://doi.org/10.1007/978-3-540-85058-8_1},
year = {2007},
}
  • [DOI] M. Sabou and J. Z. Pan, “Towards semantically enhanced Web service repositories,” J. Web Semant., vol. 5, pp. 142-150, 2007.
    [Bibtex] 
    @article{DBLP:journals/ws/SabouP07,
author = {Marta Sabou and Jeff Z Pan},
doi = {10.1016/j.websem.2006.11.004},
issue = {2},
journal = {J. Web Semant.},
pages = {142-150},
title = {Towards semantically enhanced Web service repositories},
volume = {5},
url = {https://doi.org/10.1016/j.websem.2006.11.004},
year = {2007},
}
  • [DOI] M. Sabou, J. Gracia, S. Angeletou, M. d’Aquin, and E. Motta, “Evaluating the Semantic Web: A Task-Based Approach,” in The Semantic Web. ISWC ASWC, 2007, pp. 423-437.
    [Bibtex] 
    @inproceedings{Sabou2007,
author = {Marta Sabou and Jorge Gracia and Sofia Angeletou and Mathieu d’Aquin and Enrico Motta},
doi = {10.1007/978-3-540-76298-0_31},
booktitle = {The Semantic Web. ISWC ASWC},
pages = {423-437},
title = {Evaluating the Semantic Web: A Task-Based Approach},
url = {https://doi.org/10.1007/978-3-540-76298-0_31},
year = {2007},
}
  • M. D’Aquin, C. Baldassarre, L. Gridinoc, S. Angeletou, M. Sabou, and E. Motta, “Characterizing Knowledge on the Semantic Web with Watson,” in 5th International Workshop on Evaluation of Ontologies and Ontology-based Tools, EON, Co-located with the ISWC, 2007, pp. 1-10.
    [Bibtex] 
    @inproceedings{,
author = {Mathieu D'Aquin and Claudio Baldassarre and Laurian Gridinoc and Sofia Angeletou and Marta Sabou and Enrico Motta},
editor = {Raul Garcia-Castro and Denny Vrandecic and Asunción Gómez-Pérez and York Sure and Zhisheng Huang},
booktitle = {5th International Workshop on Evaluation of Ontologies and Ontology-based Tools, EON, Co-located with the ISWC},
pages = {1-10},
publisher = {CEUR-WS.org},
title = {Characterizing Knowledge on the Semantic Web with Watson},
volume = {329},
url = {http://ceur-ws.org/Vol-329/paper01.pdf},
year = {2007},
}
  • [DOI] M. D’Aquin, A. Schlicht, H. Stuckenschmidt, and M. Sabou, “Ontology Modularization for Knowledge Selection: Experiments and Evaluations,” in Database and Expert Systems Applications, 18th International Conference, DEXA, 2007, pp. 874-883.
    [Bibtex] 
    @inproceedings{DBLP:conf/dexa/dAquinSSS07,
author = {Mathieu D'Aquin and Anne Schlicht and Heiner Stuckenschmidt and Marta Sabou},
doi = {10.1007/978-3-540-74469-6_85},
editor = {Roland R Wagner and Norman Revell and Günther Pernul},
booktitle = {Database and Expert Systems Applications, 18th International Conference, DEXA },
pages = {874-883},
publisher = {Springer},
title = {Ontology Modularization for Knowledge Selection: Experiments and Evaluations},
volume = {4653},
url = {https://doi.org/10.1007/978-3-540-74469-6_85},
year = {2007},
}
  • J. Gracia, V. Lopez, M. D’Aquin, M. Sabou, E. Motta, and E. Mena, “Solving Semantic Ambiguity to Improve Semantic Web based Ontology Matching,” in 2nd International Workshop on Ontology Matching (OM) Collocated with the 6th International Semantic Web Conference (ISWC) and the 2nd Asian Semantic Web Conference (ASWC), 2007.
    [Bibtex] 
    @inproceedings{Gracia2007,
author = {Jorge Gracia and Vanessa Lopez and Mathieu D'Aquin and Marta Sabou and Enrico Motta and Eduardo Mena},
editor = {Pavel Shvaiko and Jérôme Euzenat and Fausto Giunchiglia and Bin He},
booktitle = {2nd International Workshop on Ontology Matching (OM) Collocated with the 6th International Semantic Web Conference (ISWC) and the 2nd Asian Semantic Web Conference (ASWC)},
publisher = {CEUR-WS.org},
title = {Solving Semantic Ambiguity to Improve Semantic Web based Ontology Matching},
volume = {304},
url = {http://ceur-ws.org/Vol-304/paper1.pdf},
year = {2007},
}

2006

  • M. Sabou, M. D’Aquin, and E. Motta, “Using the Semantic Web as Background Knowledge for Ontology Mapping,” in 1st International Workshop on Ontology Matching (OM) Collocated with the 5th International Semantic Web Conference, ISWC, 2006.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/SaboudM06,
author = {Marta Sabou and Mathieu D'Aquin and Enrico Motta},
editor = {Pavel Shvaiko and Jérôme Euzenat and Natalya Fridman Noy and Heiner Stuckenschmidt and V Richard Benjamins and Michael Uschold},
booktitle = {1st International Workshop on Ontology Matching (OM) Collocated with the 5th International Semantic Web Conference, ISWC},
publisher = {CEUR-WS.org},
title = {Using the Semantic Web as Background Knowledge for Ontology Mapping},
volume = {225},
url = {http://ceur-ws.org/Vol-225/paper1.pdf},
year = {2006},
}
  • [DOI] M. Sabou, V. López, and E. Motta, “Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner?,” in Managing Knowledge in a World of Networks, 15th International Conference, EKAW, 2006, pp. 96-111.
    [Bibtex] 
    @inproceedings{DBLP:conf/ekaw/SabouLM06,
author = {Marta Sabou and Vanessa López and Enrico Motta},
doi = {10.1007/11891451_12},
editor = {Steffen Staab and Vojtech Svátek},
booktitle = {Managing Knowledge in a World of Networks, 15th International Conference, EKAW },
pages = {96-111},
publisher = {Springer},
title = {Ontology Selection for the Real Semantic Web: How to Cover the Queen's Birthday Dinner?},
volume = {4248},
url = {https://doi.org/10.1007/11891451_12},
year = {2006},
}
  • M. D’Aquin, M. Sabou, and E. Motta, “Modularization: a Key for the Dynamic Selection of Relevant Knowledge Components,” in Proceedings of the 1st International Workshop on Modular Ontologies, WoMO, co-located with ISWC, 2006.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/dAquinSM06,
author = {Mathieu D'Aquin and Marta Sabou and Enrico Motta},
editor = {Peter Haase and Vasant G Honavar and Oliver Kutz and York Sure and Andrei Tamilin},
booktitle = {Proceedings of the 1st International Workshop on Modular Ontologies, WoMO, co-located with ISWC},
publisher = {CEUR-WS.org},
title = {Modularization: a Key for the Dynamic Selection of Relevant Knowledge Components},
volume = {232},
url = {http://ceur-ws.org/Vol-232/paper2.pdf},
year = {2006},
}
  • [DOI] D. Grosu, P. Herrero, G. Méndez, and M. Sabou, “AWeSOMe 2006 PC Co-chairs’ Message,” in On the Move to Meaningful Internet Systems: OTM Confederated International Workshops and Posters, 2006, p. 57.
    [Bibtex] 
    @inproceedings{DBLP:conf/otm/GrosuHMS06,
author = {Daniel Grosu and Pilar Herrero and Gonzalo Méndez and Marta Sabou},
doi = {10.1007/11915034_27},
editor = {Robert Meersman and Zahir Tari and Pilar Herrero},
booktitle = {On the Move to Meaningful Internet Systems: OTM Confederated International Workshops and Posters},
pages = {57},
publisher = {Springer},
title = {AWeSOMe 2006 PC Co-chairs' Message},
volume = {4277},
url = {https://doi.org/10.1007/11915034_27},
year = {2006},
}
  • M. Sabou, V. López, E. Motta, and V. S. Uren, “Ontology Selection: Ontology Evaluation on the Real Semantic Web,” in 4th International EON Workshop Evaluation of Ontologies for the Web Co-located with the WWW, 2006.
    [Bibtex] 
    @inproceedings{DBLP:conf/www/SabouLMU06,
author = {Marta Sabou and Vanessa López and Enrico Motta and Victoria S Uren},
editor = {Denny Vrandecic and Mari Carmen Suárez-Figueroa and Aldo Gangemi and York Sure},
booktitle = {4th International EON Workshop Evaluation of Ontologies for the Web Co-located with the WWW},
publisher = {CEUR-WS.org},
title = {Ontology Selection: Ontology Evaluation on the Real Semantic Web},
volume = {179},
url = {http://ceur-ws.org/Vol-179/eon2006sabouetal.pdf},
year = {2006},
}
  • [DOI] V. López, M. Sabou, and E. Motta, “PowerMap: Mapping the Real Semantic Web on the Fly,” in The Semantic Web – ISWC, 5th International Semantic Web Conference, 2006, pp. 414-427.
    [Bibtex] 
    @inproceedings{DBLP:conf/semweb/LopezSM06,
author = {Vanessa López and Marta Sabou and Enrico Motta},
doi = {10.1007/11926078_30},
editor = {Isabel F Cruz and Stefan Decker and Dean Allemang and Chris Preist and Daniel Schwabe and Peter Mika and Michael Uschold and Lora Aroyo},
booktitle = {The Semantic Web - ISWC, 5th International Semantic Web Conference},
pages = {414-427},
publisher = {Springer},
title = {PowerMap: Mapping the Real Semantic Web on the Fly},
volume = {4273},
url = {https://doi.org/10.1007/11926078_30},
year = {2006},
}
  • [DOI] E. Motta and M. Sabou, “Next Generation Semantic Web Applications,” in The Semantic Web – ASWC, First Asian Semantic Web Conference, 2006, pp. 24-29.
    [Bibtex] 
    @inproceedings{DBLP:conf/aswc/MottaS06,
author = {Enrico Motta and Marta Sabou},
doi = {10.1007/11836025_3},
editor = {Riichiro Mizoguchi and Zhongzhi Shi and Fausto Giunchiglia},
booktitle = {The Semantic Web - ASWC, First Asian Semantic Web Conference},
pages = {24-29},
publisher = {Springer},
title = {Next Generation Semantic Web Applications},
volume = {4185},
url = {https://doi.org/10.1007/11836025_3},
year = {2006},
}
  • [DOI] Y. Lei, M. Sabou, V. López, J. Zhu, V. S. Uren, and E. Motta, “An Infrastructure for Acquiring High Quality Semantic Metadata,” in The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006, 2006, pp. 230-244.
    [Bibtex] 
    @inproceedings{DBLP:conf/esws/LeiSLZUM06,
author = {Yuangui Lei and Marta Sabou and Vanessa López and Jianhan Zhu and Victoria S Uren and Enrico Motta},
doi = {10.1007/11762256_19},
editor = {York Sure and John Domingue},
booktitle = {The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006},
pages = {230-244},
publisher = {Springer},
title = {An Infrastructure for Acquiring High Quality Semantic Metadata},
volume = {4011},
url = {https://doi.org/10.1007/11762256_19},
year = {2006},
}

2005

  • [DOI] M. Sabou, C. Wroe, C. A. Goble, and G. Mishne, “Learning domain ontologies for Web service descriptions: an experiment in bioinformatics,” in Proceedings of the 14th international conference on World Wide Web, WWW, 2005, pp. 190-198.
    [Bibtex] 
    @inproceedings{Sabou2005learning,
author = {Marta Sabou and Chris Wroe and Carole A Goble and Gilad Mishne},
doi = {10.1145/1060745.1060776},
editor = {Allan Ellis and Tatsuya Hagino},
booktitle = {Proceedings of the 14th international conference on World Wide Web, WWW},
pages = {190-198},
publisher = {ACM},
title = {Learning domain ontologies for Web service descriptions: an experiment in bioinformatics},
url = {https://doi.org/10.1145/1060745.1060776},
year = {2005},
}
  • [DOI] M. Sabou, “Visual Support for Ontology Learning: An Experience Report,” in 9th International Conference on Information Visualisation, IV 2005, 6-8 July 2005, London, UK, 2005, pp. 494-499.
    [Bibtex] 
    @inproceedings{DBLP:conf/iv/Sabou05,
author = {Marta Sabou},
doi = {10.1109/IV.2005.137},
booktitle = {9th International Conference on Information Visualisation, IV 2005, 6-8 July 2005, London, UK},
pages = {494-499},
publisher = {\{\\{\}IEEE\{\\}\} Computer Society},
title = {Visual Support for Ontology Learning: An Experience Report},
url = {https://doi.org/10.1109/IV.2005.137},
year = {2005},
}
  • [DOI] M. Sabou, C. Wroe, C. A. Goble, and H. Stuckenschmidt, “Learning domain ontologies for semantic Web service descriptions,” Journal of Web Semantics, vol. 3, pp. 340-365, 2005.
    [Bibtex] 
    @article{DBLP:journals/ws/SabouWGS05,
author = {Marta Sabou and Chris Wroe and Carole A Goble and Heiner Stuckenschmidt},
doi = {10.1016/j.websem.2005.09.008},
issue = {4},
journal = {Journal of Web Semantics},
pages = {340-365},
title = {Learning domain ontologies for semantic Web service descriptions},
volume = {3},
url = {https://doi.org/10.1016/j.websem.2005.09.008},
year = {2005},
}

2004

  • [DOI] P. Mika, D. Oberle, A. Gangemi, and M. Sabou, “Foundations for service ontologies: aligning OWL-S to dolce,” in Proceedings of the 13th international conference on World Wide Web, WWW, 2004, pp. 563-572.
    [Bibtex] 
    @inproceedings{Mika2004foundations,
author = {Peter Mika and Daniel Oberle and Aldo Gangemi and Marta Sabou},
doi = {10.1145/988672.988748},
editor = {Stuart I Feldman and Mike Uretsky and Marc Najork and Craig E Wills},
booktitle = {Proceedings of the 13th international conference on World Wide Web, WWW},
pages = {563-572},
publisher = {ACM},
title = {Foundations for service ontologies: aligning OWL-S to dolce},
url = {https://doi.org/10.1145/988672.988748},
year = {2004},
}
  • [DOI] M. Sabou, “From Software APIs to Web Service Ontologies: A Semi-automatic Extraction Method,” in The Semantic Web – ISWC: Third International Semantic Web Conference, 2004, pp. 410-424.
    [Bibtex] 
    @inproceedings{Sabou2004software,
author = {Marta Sabou},
doi = {10.1007/978-3-540-30475-3_29},
editor = {Sheila A McIlraith and Dimitris Plexousakis and Frank van Harmelen},
booktitle = {The Semantic Web - ISWC: Third International Semantic Web Conference},
pages = {410-424},
publisher = {Springer},
title = {From Software APIs to Web Service Ontologies: A Semi-automatic Extraction Method},
volume = {3298},
url = {https://doi.org/10.1007/978-3-540-30475-3%7B%5C_%7D29},
year = {2004},
}
  • C. Fluit, M. Sabou, and F. van Harmelen, “Supporting User Tasks through Visualisation of Light-weight Ontologies,” in Handbook on Ontologies, S. Staab and R. Studer, Eds., Springer, 2004, pp. 415-434.
    [Bibtex] 
    @inbook{DBLP:books/sp/staabS2004/FluitSH04,
author = {Christiaan Fluit and Marta Sabou and Frank van Harmelen},
editor = {Steffen Staab and Rudi Studer},
booktitle = {Handbook on Ontologies},
pages = {415-434},
publisher = {Springer},
title = {Supporting User Tasks through Visualisation of Light-weight Ontologies},
year = {2004},
}
  • [DOI] D. L. Martin, M. Paolucci, S. A. McIlraith, M. H. Burstein, D. V. McDermott, D. L. McGuinness, B. Parsia, T. R. Payne, M. Sabou, M. Solanki, N. Srinivasan, and K. P. Sycara, “Bringing Semantics to Web Services: The OWL-S Approach,” in Semantic Web Services and Web Process Composition, First International Workshop, SWSWPC, Revised Selected Papers, 2004, pp. 26-42.
    [Bibtex] 
    @inproceedings{Martin2004bringing,
author = {David L Martin and Massimo Paolucci and Sheila A McIlraith and Mark H Burstein and Drew V McDermott and Deborah L McGuinness and Bijan Parsia and Terry R Payne and Marta Sabou and Monika Solanki and Naveen Srinivasan and Katia P Sycara},
doi = {10.1007/978-3-540-30581-1_4},
editor = {Jorge S Cardoso and Amit P Sheth},
booktitle = {Semantic Web Services and Web Process Composition, First International Workshop, SWSWPC, Revised Selected Papers},
pages = {26-42},
publisher = {Springer},
title = {Bringing Semantics to Web Services: The OWL-S Approach},
volume = {3387},
url = {https://doi.org/10.1007/978-3-540-30581-1_4},
year = {2004},
}

2003

  • [DOI] S. van Splunter, M. Sabou, F. M. T. Brazier, and D. Richards, “Configuring Web Services, Using Structuring and Techniques from Agent Configuration,” in 2003 IEEE / WIC International Conference on Web Intelligence, 2003, pp. 153-160.
    [Bibtex] 
    @inproceedings{Splunter2003configuring,
author = {Sander van Splunter and Marta Sabou and Frances M T Brazier and Debbie Richards},
doi = {10.1109/WI.2003.1241187},
booktitle = {2003 IEEE / WIC International Conference on Web Intelligence},
pages = {153-160},
publisher = {IEEE Computer Society},
title = {Configuring Web Services, Using Structuring and Techniques from Agent Configuration},
url = {https://doi.org/10.1109/WI.2003.1241187},
year = {2003},
}
  • [DOI] D. Richards and M. Sabou, “Semantic Markup for Semantic Web Tools: A DAML-S Description of an RDF-Store,” in The Semantic Web – ISWC 2003, Second International Semantic Web Conference, 2003, pp. 274-289.
    [Bibtex] 
    @inproceedings{Richards2003semantic,
author = {Debbie Richards and Marta Sabou},
doi = {10.1007/978-3-540-39718-2_18},
editor = {Dieter Fensel and Katia P Sycara and John Mylopoulos},
booktitle = {The Semantic Web - ISWC 2003, Second International Semantic Web Conference},
pages = {274-289},
publisher = {Springer},
title = {Semantic Markup for Semantic Web Tools: A DAML-S Description of an RDF-Store},
volume = {2870},
url = {https://doi.org/10.1007/978-3-540-39718-2_18},
year = {2003},
}
  • [DOI] D. Oberle, M. Sabou, D. Richards, and R. Volz, “An Ontology for Semantic Middleware: Extending DAML-S Beyond Web-Services,” in On The Move to Meaningful Internet Systems: OTM Workshops, HCI-SWWA, IPW, JTRES, WORM, WMS, and WRSM, 2003, pp. 28-29.
    [Bibtex] 
    @inproceedings{Oberle2003ontology,
author = {Daniel Oberle and Marta Sabou and Debbie Richards and Raphael Volz},
doi = {10.1007/978-3-540-39962-9_13},
editor = {Robert Meersman and Zahir Tari},
booktitle = {On The Move to Meaningful Internet Systems: OTM Workshops, HCI-SWWA, IPW, JTRES, WORM, WMS, and WRSM},
pages = {28-29},
publisher = {Springer},
title = {An Ontology for Semantic Middleware: Extending DAML-S Beyond Web-Services},
volume = {2889},
url = {https://doi.org/10.1007/978-3-540-39962-9_13},
year = {2003},
}
  • K. Falkovych, M. Sabou, and H. Stuckenschmidt, “UML for the Semantic Web: Transformation-Based Approaches,” in Knowledge Transformation for the Semantic Web, B. Omelayenko and M. C. A. Klein, Eds., IOS Press, 2003, vol. 95, pp. 92-106.
    [Bibtex] 
    @inbook{DBLP:books/ios/omelayenkoK03/FalkovychSS03,
author = {Kateryna Falkovych and Marta Sabou and Heiner Stuckenschmidt},
editor = {Borys Omelayenko and Michel C A Klein},
booktitle = {Knowledge Transformation for the Semantic Web},
pages = {92-106},
publisher = {IOS Press},
title = {UML for the Semantic Web: Transformation-Based Approaches},
volume = {95},
year = {2003},
}
  • [DOI] M. Ehrig, C. Tempich, J. Broekstra, F. van Harmelen, M. Sabou, R. Siebes, S. Staab, and H. Stuckenschmidt, “SWAP – Ontology-based Knowledge Management with Peer-to-Peer Technology,” in WOW, Workshop Ontologie-basiertes Wissensmanagement (German Workshop on Ontology-based Knowledge Management), 2003.
    [Bibtex] 
    @inproceedings{Ehrig2003swap,
author = {Marc Ehrig and Christoph Tempich and Jeen Broekstra and Frank van Harmelen and Marta Sabou and Ronny Siebes and Steffen Staab and Heiner Stuckenschmidt},
doi = {10.1142/9789812704337_0101},
editor = {York Sure and Hans-Peter Schnurr},
booktitle = {WOW, Workshop Ontologie-basiertes Wissensmanagement (German Workshop on Ontology-based Knowledge Management)},
publisher = {CEUR-WS.org},
title = {SWAP - Ontology-based Knowledge Management with Peer-to-Peer Technology},
volume = {68},
url = {https://doi.org/10.1142/9789812704337_0101},
year = {2003},
}

2002

  • C. Fluit, M. Sabou, and F. van Harmelen, “Ontology-based Information Visualization,” in Visualizing the Semantic Web, V. Geroimenko and C. Chen, Eds., Springer, 2002, pp. 36-48.
    [Bibtex] 
    @inbook{DBLP:books/sp/geroimenko2002/FluitSH02,
author = {Christiaan Fluit and Marta Sabou and Frank van Harmelen},
editor = {Vladimir Geroimenko and Chaomei Chen},
booktitle = {Visualizing the Semantic Web},
note = {this book is not in the semsys publications - but paper with same name from proceedings},
pages = {36-48},
publisher = {Springer},
title = {Ontology-based Information Visualization},
year = {2002},
}

2001

  • [DOI] F. van Harmelen, J. Broekstra, C. Fluit, H. ter Horst, A. Kampman, J. van der Meer, and M. Sabou, “Ontology-Based Information Visualisation,” in International Conference on Information Visualisation, IV, 2001, pp. 546-554.
    [Bibtex] 
    @inproceedings{Harmelen2001ontology,
author = {Frank van Harmelen and Jeen Broekstra and Christiaan Fluit and Herko ter Horst and Arjohn Kampman and Jos van der Meer and Marta Sabou},
doi = {10.1109/IV.2001.942109},
booktitle = {International Conference on Information Visualisation, IV},
pages = {546-554},
publisher = {\{\\{\}IEEE\{\\}\} Computer Society},
title = {Ontology-Based Information Visualisation},
url = {https://doi.org/10.1109/IV.2001.942109},
year = {2001},
}