Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Effective integration of declarative rules with external evaluations for semantic-web reasoning
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Simulating production rules using ACTHEX
Correct Reasoning
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We present an extension of the DLVHEX system to support RIF-Core, a dialect of W3C's Rule Interchange Format (RIF), as well as combinations of RIF-Core and OWL2RL ontologies. DLVHEX is a plugin system on top of DLV, a disjunctive Datalog engine which enables higher-order and external atoms, as well as input rewriting capabilities, which are provided as plugins and enable DLVHEX to bidirectionally exchange data with external knowledge bases and consuming input in different Semantic Web languages. In fact, there already exist plugins for languages such as RDF and SPARQL. Our new plugin facilitates consumption and processing of RIF rule sets, as well as OWL2RL reasoning by a 2-step-reduction to DLVHEX via embedding in RIF-Core. The current version implements the translation from OWL2RL to RIF by a static rule set [12] and supports the RIF built-ins mandatory for this reduction trough external atoms in DLVHEX. For the future we plan to switch to a dynamic approach for RIF embedding of OWL2RL [2] and extend the RIF reasoning capabilities to more features of RIF-BLD. We provide a description of our current system, its current development status as well as an illustrative example, and conclude future plans to complete the Semantic Web library of plugins for DLVHEX.