Interpreting SWRL Rules in RDF Graphs | Zendy

Jing Mei | Zendy; Harold Boley | Zendy

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Interpreting SWRL Rules in RDF Graphs

Author(s) -

Jing Mei,

Harold Boley

Publication year - 2006

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2005.07.036

Subject(s) - semantic web rule language , rdf , rdf schema , computer science , cwm , sparql , rdf/xml , simple knowledge organization system , semantics (computer science) , programming language , information retrieval , semantic web , semantic analytics , semantic computing

An unresolved issue in SWRL (the Semantic Web Rule Language) is whether the intended semantics of its RDF representation can be described as an extension of the W3C RDF semantics. In this paper we propose to make the model-theoretic semantics of SWRL compatible with RDF by interpreting SWRL rules in RDF graphs. For dealing with SWRL/RDF rules, we regard ‘Implies’ as an OWL class, and extract all ‘Implies’ rules from an RDF database that represents a SWRL knowledge base. Each ‘Implies’ rule is grounded through mappings built into the semantic conditions of the model theory. Based on the fixpoint semantics, a bottom-up strategy is employed to compute the least Herbrand models

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