Handbook of logic in artificial intelligence and logic programming (vol. 3)
Combining Horn rules and description logics in CARIN
Artificial Intelligence
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
On the Analysis of Regulations using Defeasible Rules
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Embedding defeasible logic into logic programming
Theory and Practice of Logic Programming
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Proof explanation for a nonmonotonic Semantic Web rules language
Data & Knowledge Engineering
On the decidability and complexity of integrating ontologies and rules
Web Semantics: Science, Services and Agents on the World Wide Web
Proof explanation for the semantic web using defeasible logic
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Visualizing defeasible logic rules for the semantic web
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
A visual environment for developing defeasible rule bases for the semantic web
RuleML'05 Proceedings of the First international conference on Rules and Rule Markup Languages for the Semantic Web
Visualizing logical dependencies in SWRL rule bases
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Visualizing Semantic Web proofs of defeasible logic in the DR-DEVICE system
Knowledge-Based Systems
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The development of the Semantic Web proceeds in steps, building each layer on top of the other. Currently, the focus of research efforts is concentrated on logic and proofs, both of which are essential, since they will allow systems to infer new knowledge by applying principles on the existing data and explain their actions. Research is shifting towards the study of non-monotonic systems that are capable of handling conflicts among rules and reasoning with partial information. As for the proof layer of the Semantic Web, it can play a vital role in increasing the reliability of Semantic Web systems, since it will be possible to provide explanations and/or justifications of the derived answers. This paper reports on the implementation of a system for visualizing proof explanations on the Semantic Web. The proposed system applies defeasible logic, a member of the non-monotonic logics family, as the underlying inference system. The proof representation schema is based on a graph-based methodology for visualizing defeasible logic rule bases.