一种基于模糊聚类的模糊本体生成方法  

A Fuzzy Ontology Generation Method Based on Fuzzy Cluster

作　　者：强宇[1] 刘宗田[1] 李旭[1] 周文[1] 陈慧琼[1] 

机构地区：[1]上海大学计算机学院

出　　处：《计算机科学》2006年第4期148-150,共3页Computer Science

基　　金：国家自然科学基金(60275022);上海市高等学校青年发展基金(03AQ99)资助

摘　　要：本文研究了一种从模糊背景生成模糊本体的方法。模糊本体由以下几部分组成,分别是:模糊形式概念分析、模糊概念聚类及模糊本体生成。首先,模糊形式概念分析将模糊逻辑嵌入形式概念分析以构成模糊概念格。其次,模糊概念聚类从模糊概念格构造概念层次。最后,模糊本体生成部分从概念层次生成模糊本体。In this paper, we research a method for generating the fuzzy ontology from fuzzy context. Fuzzy ontology is constructed by several parts： fuzzy formal concept analysis, fuzzy concept cluster and fuzzy ontology generation. First, Fuzzy formal concept analysis introduces the fuzzy logic into formal concept analysis to construct fuzzy concept lattice. Second, Fuzzy concept cluster constructs concept hierarchy from fuzzy concept lattice. And the last, Fuzzy ontology is generated from concept hierarchy.

关 键 词：形式概念分析 模糊逻辑 概念聚类 本体生成 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]