Combining Horn rules and description logics in CARIN
Artificial Intelligence
Explanations in Knowledge Systems: Design for Explainable Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Semantic Web Primer
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Explaining subsumption in description logics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Explaining answers from the Semantic Web: the Inference Web approach
Web Semantics: Science, Services and Agents on the World Wide Web
On the decidability and complexity of integrating ontologies and rules
Web Semantics: Science, Services and Agents on the World Wide Web
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In this work we present the design and implementation of a multi-agent environment for serving proof explanations in the Semantic Web. The system allows users or agents to issue queries, on a given RDF& rules knowledge base and automatically produces proof explanations for answers produced by a popular programming system (JENA), by interpreting the output from the proof's trace and converting it into a meaningful representation. It also supports an XML representation (a R2ML language extension) for agent communication, which is a common scenario in the Semantic Web. The system in essence implements a proof layer for rules on the Semantic Web empowering trust between agents and users.