《计算机应用研究》|Application Research of Computers

基于P-集合的本体形式背景抽取

Ontology background extraction method based on P-sets

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作者 阎红灿,王坚,刘保相
机构 河北联合大学 理学院,河北 唐山063000
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文章编号 1001-3695(2012)06-2196-04
DOI 10.3969/j.issn.1001-3695.2012.06.051
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。
关键词 概念格;领域本体;P-集合;本体形式背景;概念相似度
基金项目 河北省自然科学基金资助项目(A2011209046,F2009001276)
本文URL http://www.arocmag.com/article/01-2012-06-051.html
英文标题 Ontology background extraction method based on P-sets
作者英文名 YAN Hong-can, WANG Jian, LIU Bao-xiang
机构英文名 College of Science, Hebei United University, Tangshan Hebei 063000, China
英文摘要 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.
英文关键词 concept lattice; domain ontology; P-sets; ontology background; concept similarity
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页码 2196-2199,2204
中图分类号 TP311
文献标志码 A