DatalogDL: Datalog Rules Parameterized by Description Logics

نویسندگان

  • Jing Mei
  • Harold Boley
  • Jie Li
  • Virendrakumar C. Bhavsar
  • Zuoquan Lin
چکیده

Combining ontologies with rules has become a central topic in the Semantic Web. Bridging the discrepancy between these two knowledge representations, this paper introduces Datalog as a family of hybrid languages, where Datalog rules are parameterized by various DL (description logic) languages ranging from ALC to SHIQ . Making Datalog a decidable system with complexity of EXPTIME, we propose independent properties in the DL body as the restriction to hybrid rules, and weaken the safeness condition to balance the trade-off between expressivity and reasoning power. Building on existing well-developed techniques, we present a principled approach to enrich (RuleML) rules with information from (OWL) ontologies, and develop a prototype system integrating a rule engine (OO jDREW) with a DL reasoner (RACER).

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تاریخ انتشار 2006