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Ontological Analysis For Description Logics Knowledge Base Debugging
Julien Corman, Nathalie Aussenac-Gilles, Laure Vieu

Ontological Analysis For Description Logics Knowledge Base Debugging

Science & Mathematics Published 2015 Verification Pending

Overview & Synopsis

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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Document Information

Document Title Ontological Analysis For Description Logics Knowledge Base Debugging
Author / Organization Julien Corman, Nathalie Aussenac-Gilles, Laure Vieu
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2015
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-142953
Original Source Link Visit Source Page on hal.science »