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A New Knowledge Representation Method Based on Ontology and Cloud Theory

机译:基于本体论和云理论的新知识表示方法

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Description Logics (short for DLs) are very important for the expression of ontologies, which allow reasoning about individuals and concepts. However, DLs can not process the indefinite knowledge existing widely in nature. Based on the cloud model, we present Cloud-ALC to deal with the indefinite knowledge, which is the extension of the important description logic ALC. We define its syntax and semantic, study its properties in detail, and propose the techniques to solve the entailment problem. Case analysis proves that Cloud-ALC can provide a formal underpinning for the indefiniteness extension of ontology description languages.
机译:描述逻辑(DLS的简短)对于本体中的表达非常重要,这允许推理个人和概念。然而,DLS无法处理完全存在的无限知识。基于云模型,我们呈现云ALC处理无限的知识,这是重要描述逻辑ALC的扩展。我们定义其语法和语义,详细研究其属性,并提出了解决蕴涵问题的技术。案例分析证明,Cloud-ALC可以为本体描述语言的无限延长提供正式的支撑。

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