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Ontological Analysis For Description Logics Knowledge Base Debugging

机译:描述逻辑知识库调试的本体分析

摘要

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.
机译:形式化本体提供了领域无关原理的公理化,除其他应用外,这些原理可用于识别知识库中的建模错误。 Ontoclean方法可能是该策略最著名的例证,但是就手工而言,它的成本通常被认为是没有说服力的。本文研究了这种调试策略在Description Logics知识库中的适用性,表明即使使用顶层本体快速执行的部分和浅层分析也可以揭示存在违反常识的情况,并且如果存在瓶颈,则表明存在瓶颈。 ,而是可以解决导致的不一致或不一致的问题。

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