摘要
以构建电子商务系统中的本体为出发点,分析现有的本体构建技术中存在的缺陷。针对这些不足,综合考虑变精度粗糙集模型和形式概念分析的相关理论,提出基于粗概念格模型来构建本体。将变精度粗糙集的β选取算法和可辨识矩阵属性约简算法进行了改进,使β-上、下分布的约简方法适用于形式背景的约简,从而提出基于变精度粗糙集的概念格约减算法;然后计算语义概念相似度,并以联合国标准产品与服务分类代码的本体元模型为核心本体,结合领域专家知识,建立电子商务领域本体模型。实验表明了粗概念格构建本体的高效性。
The defects of existing ontology construction technology are analyzed in order to construct the ontology model of the e-commerce system. The model of ontology construction based on rough con- cept lattice is proposed for the sake of making up these defects by integrating the theory of variable pre- cision rough set （VPRS） model and formal concept analysis. The method of β-upper and lower distribu- tion reduction is used to reduce formal context by improving the two algorithms of β-values select and at- tribute reduction based on discernibility matrix in VPRS. Therefore, the paper proposes the reduction algorithm of concept lattices based on VPRS. After calculating the semantic similarity of concepts, the domain ontology model of e-business is built combined with knowledge of domain expert and original on- tology model of the United Nations Standard Products and Services Classification Code by way of core ontology. Experiments show that the efficiency of building ontology based on rough concept lattice is higher than FCA.
出处
《计算机工程与科学》
CSCD
北大核心
2014年第3期530-535,共6页
Computer Engineering & Science
基金
国家自然科学基金资助项目(61050004
61272015)
河南省教育厅科学技术研究重点项目(13B520155)
关键词
本体
变精度粗糙集
概念格
属性约简
ontology
variable precision rough set
concept lattice
attribute reduction
