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Implementing Query Answering for Hybrid MKNF Knowledge Bases
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BibTeX
@MISC{Gomes_implementingquery,
author = {Ana Sofia Gomes and José Júlio Alferes and Terrance Swift},
title = {Implementing Query Answering for Hybrid MKNF Knowledge Bases},
year = {}
}
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Abstract
Ontologies and rules are usually loosely coupled in knowledge representation formalisms. In fact, ontologies use open-world reasoning while the leading semantics for rules use non-monotonic, closed-world reasoning. One exception is the tightly-coupled framework of Minimal Knowledge and Negation as Failure (MKNF), which allows statements about individuals to be jointly derived via entailment from an ontology and inferences from rules. Nonetheless, the practical usefulness of MKNF has not always been clear, although recent work has formalized a general resolution-based method for querying MKNF when rules are taken to have the well-founded semantics, and the ontology is modeled by a general Oracle. That work leaves open what algorithms should be used to relate the entailments of the ontology and the inferences of rules. In this paper we provide such algorithms, and describe the implementation of a query-driven system, CDF-Rules, for hybrid knowledge bases combining both (non-monotonic) rules under the well-founded semantics and a (monotonic) ontology, represented by a CDF (ALCQ) theory.
Keyphrases
query answering hybrid mknf knowledge base well-founded semantics query-driven system knowledge representation formalism minimal knowledge general resolution-based method tightly-coupled framework hybrid knowledge base open-world reasoning practical usefulness closed-world reasoning recent work general oracle
