Ontological Analysis for Description Logics Knowledge Base Debugging

Corman, Julien (IRIT - Toulouse, France) | Aussenac-Gilles, Nathalie (CNRS, IRIT) | Vieu, Laure (CNRS, IRIT, LOA)

AAAI Conferences 

Formal ontology provides axiomatizations of domain independent principles which, among other applications, can be used to identify modeling errors within a knowledge base. The Ontoclean methodology is probably the best-known illustration of this strategy, but its cost in terms of manual work is often considered dissuasive. This article investigates the applicability of such debugging strategies to Description Logics knowledge bases, showing that even a partial and shallow analysis rapidly performed with a top-level ontology can reveal the presence of violations of common sense, and that the bottleneck, if there is one, may instead reside in the resolution of the resulting inconsistency or incoherence.

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