A New Knowledge Representation Method Based on Ontology and Cloud Theory

Peiguang Lin, Zhizheng Zhou
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引用次数: 1

Abstract

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.
基于本体和云理论的知识表示新方法
描述逻辑(简称dl)对于本体的表达非常重要,它允许对个体和概念进行推理。然而,人工智能不能处理自然界中广泛存在的不确定知识。在云模型的基础上,提出了处理不确定知识的云-ALC,这是对重要的描述逻辑ALC的扩展。我们定义了它的语法和语义,详细研究了它的性质,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不确定性扩展提供形式化的支撑。
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