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Research highlight : QUERYING INCONSISTENT DESCRIPTION LOGIC KNOWLEDGE BASES UNDER PREFERRED REPAIR SEMANTICS
QUERYING INCONSISTENT DESCRIPTION LOGIC KNOWLEDGE BASES UNDER PREFERRED REPAIR SEMANTICS
15 April 2014

Meghyn Bienvenu, Camille Bourgaux and François Goasdoué. AAAI'14.
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.



Keyword
  ° Automated Reasoning

Group
  ° Large-scale Heterogeneous DAta and Knowledge

Contact
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