Industrial standards provide guidelines for data modeling to ensure interoperability between stakeholders of an industry branch (e.g., robotics). Most frequently, such guidelines are provided in an unstructured format (e.g., pdf documents) which hampers the automated validations of information objects (e.g., data models) that rely on such standards in terms of ...
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While Austria is striving to achieve (inter)national sustainability goals, 70% of its greenhouse gas emissions are caused by critical infrastructures such as transportation, energy industries, and buildings. Modernizing these infrastructures so that they are more efficiently run is an important approach to increase sustainability. Additionally, Austria is making major steps ...
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Future Museum is a MUSEUM BOOSTER research project with international research partners, that aims at helping museums apply cutting-edge know-how in their strategic planning. The Future Museum community brings together museum and cultural leaders, public authorities, innovators, and suppliers in the exchange of ideas, experiences, and benchmarks. The research project ...
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OntoCommons lays the foundation for interoperable and standardised data documentation across all materials and manufacturing domains, thereby facilitating data sharing and pushing data-driven innovation to bring out a truly Digital Single Market and new business models for European industry to meet the opportunities of digitalisation and sustainability challenges. This will ...
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OntoTrans provides an ontology-based Open Translation Environment. Its Artificial Intelligence approach enables end users to represent in a standard ontological form their manufacturing process challenges and to connect them with relevant information sources and materials modelling solutions, capable to support optimal materials and process design. OntoTrans provides smart targeted guidance ...
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Ontologies represent and capture both terminological and assertional knowledge underlying novel intelligent systems including question answering systems (e.g., IBM Watson) or conversational agents (e.g., chatbots). Increasingly, such systems make use of very large, automatically extracted ontologies which often contain defects introduced through the extraction process. These defects hamper the system’s ...
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