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A Typicality-Based Revision to Handle Exceptions in Description Logics

机译:基于典型的修订版,用于处理描述逻辑中的异常

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We propose a methodology to revise a Description Logic knowledge base when detecting exceptions. Our approach relies on the methodology for debugging a Description Logic terminology, addressing the problem of diagnosing inconsistent ontologies by identifying a minimal subset of axioms responsible for an inconsistency. In the approach we propose, once the source of the inconsistency has been localized, the identified axioms are revised in order to obtain a consistent knowledge base including the detected exception about an individual x. To this aim, we make use of a nonmonotonic extension of the Description Logic ALC based on the combination of a typicality operator and the well established nonmonotonic mechanism of rational closure, which allows to deal with prototypical properties and defeasible inheritance.
机译:我们提出了一种方法来在检测例外时修改描述逻辑知识库。 我们的方法依赖于调试描述逻辑术语的方法,通过识别负责不一致的严重公理子集来解决诊断不一致的本体的问题。 在我们提出的方法中,一旦不一致的源是本地化的,就经过识别的公理,以获得一致的知识库,包括关于单个X的检测到的例外。 为此目的,我们基于典型操作员的组合和理性封闭的优质非调调机制,利用描述逻辑ALC的非单调延伸,这允许处理原型性质和不可行的遗传。

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