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引用次数: 0
摘要
本文主要研究如何对现实世界中不精确或模糊的知识进行表示和推理。本体是用于描述信息语义的重要技术，它提供了共享概念化的正式规范。OWL是一种很有前途的本体语言，旨在为给定知识领域内的概念、术语和关系提供形式化描述。OWL虽然具有强大的知识表达能力，但对于不确定和不精确的信息却缺乏表达能力。本文通过模糊逻辑对OWL进行扩展，称为OWL的模糊逻辑(fuzzy of OWL)，用于捕获现实世界中遇到的不精确或不确定的知识。最后给出了一个实例，表明本文提出的本体语言可以很好地表达模糊信息。
The paper focuses on how to represent and infer the imprecise or fuzzy knowledge in real world. Ontologies are important technology used to describe the semantics of information, which provide a formal specification of a shared conceptualization. OWL is a promising ontology language which is intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertain and imprecise information. In this paper, we extend OWL by fuzzy logic called FOWL (fuzzy of OWL) for capturing imprecise or uncertain knowledge encountered in real world. In the end, we give an instance which shows that fuzzy information can be expressed well in the proposed ontology language.
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