DatalogDL: Datalog Rules Parameterized by Description Logics

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ConferenceMadadou Tadiou Konc, 2006
AbstractCombining ontologies with rules has become a central topic in the Semantic Web. Bridging the discrepancy between these two knowledge representations, this paper introduces DatalogDL as a family of hybrid languages, where Datalog rules are parameterized by various DL (description logic) languages ranging from ALC to SHIQ . Making DatalogDL 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-developedtechniques, 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).
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49312
NPARC number3540114
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Record identifier548c03fb-7f86-4990-9e38-ec94bc479b4a
Record created2009-03-01
Record modified2016-05-09
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