Reasoning about Typicality and Probabilities in Preferential Description Logics

Laura Giordano, Valentina Gliozzi, Antonio Lieto, Nicola Olivetto, G. Pozzato
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引用次数: 3

Abstract

In this work we describe preferential Description Logics of typicality, a nonmonotonic extension of standard Description Logics by means of a typicality operator T allowing to extend a knowledge base with inclusions of the form T(C) v D, whose intuitive meaning is that normally/typically Cs are also Ds. This extension is based on a minimal model semantics corresponding to a notion of rational closure, built upon preferential models. We recall the basic concepts underlying preferential Description Logics. We also present two extensions of the preferential semantics: on the one hand, we consider probabilistic extensions, based on a distributed semantics that is suitable for tackling the problem of commonsense concept combination, on the other hand, we consider other strengthening of the rational closure semantics and construction to avoid the so-called blocking of property inheritance problem.
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优先描述逻辑中的典型性和概率推理
在这项工作中,我们描述了典型的优先描述逻辑,这是标准描述逻辑的非单调扩展,通过典型算子T允许扩展包含形式为T(C) v D的知识库,其直观含义是通常/典型的C也是D。这个扩展是基于一个最小的模型语义,对应于理性闭包的概念,建立在优先模型之上。我们回顾优先描述逻辑的基本概念。我们还提出了优先语义的两种扩展:一方面,我们考虑了基于分布式语义的概率扩展,适合于解决常识性概念组合问题;另一方面,我们考虑了对合理闭包语义和构造的其他强化,以避免所谓的属性继承阻塞问题。
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