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基于P-集合的本体形式背景抽取 被引量:9

Ontology background extraction method based on P-sets
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摘要 领域本体形式背景的分析抽取、定义本体领域属性的核心概念是构建领域本体的关键。应用概念格模型表示领域知识,引入P-集合理论进行形式背景的定义和领域属性分析,根据领域中个体相似度矩阵对形式背景的领域属性进行优劣判断,为领域本体的构建提供了新的研究模式和方法;通过一个药用植物的实验本体,证明内涵和外延联合的概念相似度计算方法提高了知识库中核心概念扩展的计算精度,为本体推理奠定了技术基础。 Domain ontology background analysis,extraction and core conception definition of field properties are always the key to building a domain ontology.This paper used concept lattice model to express domain knowledge,introduced P-sets theory to delimit ontology background and select field properties,and judged the merits of field properties according to similarity matrix of domain individuals,thereby proposed a new research model and method to build domain ontology.The experiment of medicinal plants proved that the calculation of concept similarity unites intent and extent improved the accuracy of the core concept expansion of the knowledge,and lay the technical foundation for ontology reasoning.
出处 《计算机应用研究》 CSCD 北大核心 2012年第6期2196-2199,2204,共5页 Application Research of Computers
基金 河北省自然科学基金资助项目(A2011209046 F2009001276)
关键词 概念格 领域本体 P-集合 本体形式背景 概念相似度 concept lattice domain ontology P-sets ontology background concept similarity
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参考文献18

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共引文献231

同被引文献129

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引证文献9

二级引证文献64

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