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Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics

Abstract : Recently several inconsistency-tolerant semantics have been introduced for querying inconsistent description logic knowledge bases. Most of these semantics rely on the notion of a repair, defined as an inclusion-maximal subset of the facts (ABox) which is consistent with the ontology (TBox). In this paper, we study variants of two popular inconsistency-tolerant semantics obtained by replacing classical repairs by various types of preferred repair. We analyze the complexity of query answering under the resulting semantics, focusing on the lightweight logic DL-Lite_R. Unsurprisingly, query answering is intractable in all cases, but we nonetheless identify one notion of preferred repair, based upon priority levels, whose data complexity is 'only' coNP-complete. This leads us to propose an approach combining incomplete tractable methods with calls to a SAT solver. An experimental evaluation of the approach shows good scalability on realistic cases.
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Contributor : François Goasdoué Connect in order to contact the contributor
Submitted on : Monday, June 16, 2014 - 6:27:17 PM
Last modification on : Friday, October 7, 2022 - 3:43:07 AM


  • HAL Id : hal-01007557, version 1


Meghyn Bienvenu, Camille Bourgaux, François Goasdoué. Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics. AAAI Conference on Artificial Intelligence (AAAI), Jul 2014, Quebec city, Canada. ⟨hal-01007557⟩



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