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Quasi-Classical Semantics and Tableau Calculus of Description Logics for Paraconsistent Reasoning in the Semantic Web

机译:语义网络中的逻辑逻辑的准古典语义和Tableau微积分

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The knowledge and data in the Semantic Web are large-scale, dispersive, multi-authored and therefore usually inconsistent. It is reasonable to develop practical reasoning techniques for inconsistent ontologies. We propose a new type of paraconsistent description logics based on quasi-classical logic (QCL), called quasi-classical description logics (QCDLs). Furthermore, we present a semantic tableau calculus for QCDLs and define a sound, complete and decidable consequence relation based on the calculus. These enable the paraconsistent reasoning in the Semantic Web. We also give a comparison with other key paraconsistent description logics and show that QCDLs possess more expressive and stronger semantics and other advantages.
机译:语义Web中的知识和数据是大规模的,色散,多核,因此通常不一致。制定不一致的本体的实用推理技术是合理的。我们提出了一种基于准古典逻辑(QCL)的新类型的解释描述逻辑,称为准古典描述逻辑(QCDL)。此外,我们为QCDL提供了一个语义表演算,并根据微积分定义了声音,完整和可解除的后果关系。这些可以在语义网络中启用滞因化推理。我们还与其他关键的Paraconsistent描述逻辑进行了比较,并显示QCDL具有更具表现力和更强的语义和其他优点。

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