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Communication Dans Un Congrès Année : 2016

Inconsistency-Tolerant Querying of Description Logic Knowledge Bases

Meghyn Bienvenu

Résumé

An important issue that arises when querying description logic (DL) knowledge bases is how to handle the case in which the knowledge base is inconsistent. Indeed, while it may be reasonable to assume that the TBox (ontology) has been properly debugged, the ABox (data) will typically be very large and subject to frequent modifications, both of which make errors likely. As standard DL semantics is useless in such circumstances (everything is entailed from a contradiction), several alternative inconsistency-tolerant semantics have been proposed with the aim of providing meaningful answers to queries in the presence of such data inconsistencies. In the first part of this chapter, we present and compare these inconsistency-tolerant semantics, which can be applied to any DL (or ontology language). The second half of the chapter summarizes what is known about the computational properties of these semantics and gives an overview of the main algorithmic techniques and existing systems, focusing on DLs of the DL-Lite family.
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Dates et versions

hal-01633000 , version 1 (10-11-2017)

Identifiants

Citer

Meghyn Bienvenu, Camille Bourgaux. Inconsistency-Tolerant Querying of Description Logic Knowledge Bases. RW 2016 - 12th Reasonning Web Summer School, Sep 2016, Aberdeen, United Kingdom. pp.156-202, ⟨10.1007/978-3-319-49493-7_5⟩. ⟨hal-01633000⟩
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