Abstract
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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Trigo, P., & Coelho, H. (2009). Agent inferencing meets the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5816 LNAI, pp. 497–507). https://doi.org/10.1007/978-3-642-04686-5_41
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
