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Published in:
2009 | OriginalPaper | Chapter
Agent Inferencing Meets the Semantic Web
Authors : Paulo Trigo, Helder Coelho
Published in: Progress in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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We provide an agent the capability to infer the relations (assertions) entailed by the rules that describe the formal semantics of an RDFS knowledge-base. The proposed inferencing process formulates each semantic restriction as a rule implemented within a SPARQL query statement. The process expands the original RDF graph into a fuller graph that explicitly captures the rule’s described semantics. The approach is currently being explored in order to support descriptions that follow the generic Semantic Web Rule Language. An experiment, using the Fire-Brigade domain, a small-scale knowledge-base, is adopted to illustrate the agent modeling method and the inferencing process.