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Preferential Semantics for Plausible Subsumption in Possibility Theory

机译:可能性理论中的合理包含的优先语义学

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Handling exceptions in a knowledge-based system has been considered as an important issue in many domains of applications, such as medical domain. In this paper, we propose several preferential semantics for plausible subsumption to deal with exceptions in description logic-based knowledge bases. Our preferential semantics are defined in the framework of possibility theory, which is an uncertainty theory devoted to the handling of incomplete information. We consider the properties of these semantics and their relationships. Entailment of these plausible subsumption relative to a knowledge base is also considered. We show the close relationship between two of our semantics and the mutually dual preferential semantics given by Britz, Heidema and Meyer. Finally, we show that our semantics for plausible subsumption can be reduced to standard semantics of an expressive description logic. Thus, the problem of plausible subsumption checking under our semantics can be reduced to the problem of subsumption checking under the classical semantics.
机译:在许多领域中,例如医学领域,基于知识的系统中的异常处理已被视为重要问题。在本文中,我们为合理的包含提出了几种优先语义,以处理基于描述逻辑的知识库中的异常。我们的优先语义是在可能性理论的框架中定义的,可能性理论是一种不确定性理论,专门用于处理不完整的信息。我们考虑这些语义的属性及其关系。还考虑了相对于知识库的这些合理的包含。我们展示了两个语义之间的紧密关系,以及Britz,Heidema和Meyer给出的相互双重优先语义。最后,我们证明了合理的包含的语义可以简化为表达性描述逻辑的标准语义。因此,可以将在我们的语义下的合理的包含检查的问题简化为在经典语义下的包含性检查的问题。

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