模糊本体构建的概念距离聚类方法  

Concept distance clustering method of generating fuzzy ontology

作　　者：李慧琳[1] 刘宁[1] 李冠宇[1] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026

出　　处：《计算机工程与设计》2012年第4期1538-1541,1568,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(60972090)

摘　　要：针对手工构建模糊本体工作量大且构建效率低的问题,结合模糊集理论和模糊概念格的结构惟一性等特点,提出一种基于模糊概念格的概念距离聚类方法来构建模糊本体。用渐进式方法构建出模糊概念格,并计算模糊概念格中节点的模糊参数,对其进行概念距离聚类处理,得到模糊概念层次,最后映射为模糊本体。其构建实例验证了该构建方法的可用性和有效性。Aimed at the problem of manually constructing fuzzy ontology workload big and low efficiency, combining the fuzzy set theory and the unique structure about fuzzy concept lattice, a method of constructing fuzzy ontology by concept distance clus- ter based on fuzzy concept lattice is proposed. Firstly, fuzzy concept lattice with the gradual method is constructed and the fuzzy parameters of the fuzzy concept lattice is calculated, then fuzzy concept level is gained by concept distance clustering, lastly fuzzy ontology is generated by mapping. By a constructing example, the availability and efficiency of the presented method is demon strated.

关 键 词：模糊概念格 模糊本体 模糊概念节点 构建 概念距离聚类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]