Rewriting-based instance retrieval for negated concepts in description logic ontologies

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Abstract

Instance retrieval computes all instances of a given concept in a consistent description logic (DL) ontology. Although it is a popular task for ontology reasoning, there is no scalable method for instance retrieval for negated concepts by now. This paper studies a new approach to instance retrieval for negated concepts based on query rewriting. A class of DL ontologies called the inconsistency-based first-order rewritable (IFO-rewritable) class is identified. This class guarantees that instance retrieval for an atomic negation can be reduced to answering a disjunction of conjunctive queries (CQs) over the ABox. The IFOrewritable class is more expressive than the first-order rewritable class which guarantees that answering a CQ is reducible to answering a disjunction of CQs over the ABox regardless of the TBox. Two sufficient conditions are proposed to detect IFO-rewritable ontologies that are not first-order rewritable. A rewriting-based method for retrieving instances of a negated concept is proposed for IFO-rewritable ontologies. Preliminary experimental results on retrieving instances of all atomic negations show that this method is significantly more efficient than existing methods implemented in state-of-the-art DL systems.

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Du, J., & Pan, J. Z. (2015). Rewriting-based instance retrieval for negated concepts in description logic ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9366, pp. 339–355). Springer Verlag. https://doi.org/10.1007/978-3-319-25007-6_20

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