SemSys Papers Accepted in December

December wrapped up the year with a range of insightful research. From an approach for a new way judging the strength of arguments in formal discussions, pattern-based engineering of neurosymbolic AI systems to new tools for improving AI transparency, the following papers were accepted by SemSys authors:

One paper was accepted at the Thirty-Ninth AAAI Conference on Artificial Intelligence:

Two papers were accepted at the Journal of Web Semantics Special Issue “Opportunities for Knowledge Graphs in the AI Landscape – An Application-Centric Perspective”:

  • F. J. Ekaputra, Pattern-based engineering of Neurosymbolic AI Systems, Journal of Web Semantics, Volume 85, 2025.
    • Topic: The paper outlines a vision for pattern-based approaches to engineer neuro-symbolic AI (NeSy-AI) systems. Using Knowledge Graphs at its core, the proposed approach connects visual and formal notations to streamline tasks like documentation and artefact generation, making the development process more efficient and traceable.

One paper was accepted at AIGOV @AAAI 2025:

  • L.Waltersdorfer D. Hausler and T. Auge: Provenance Question-based AI Transparency and Accountable AI Governance, 2025.
    • Topic: This paper proposes an approach for using provenance questions as transparency requirements to translate them into executable queries for increased AI system transparency. Example questions are analysed on a linguistic and provenance level and a reference architecture is discussed.