计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (13): 142-146.

• 数据库、数据挖掘、机器学习 • 上一篇    下一篇

一种基于模糊概念相似度的模糊本体构建方法

李  鹏1,刘胜全1,2,刘  艳1,张华楠1,刘华鹏1   

  1. 1.新疆大学 信息科学与工程学院,乌鲁木齐 830046
    2.新疆大学 现代教育技术中心,乌鲁木齐 830046
  • 出版日期:2014-07-01 发布日期:2015-05-12

Construction method of fuzzy ontology based on fuzzy concept similarity

LI Peng1, LIU Shengquan1,2, LIU Yan1, ZHANG Huanan1, LIU Huapeng1   

  1. 1.School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
    2.Modern Educational Technology Center, Xinjiang University, Urumqi 830046, China
  • Online:2014-07-01 Published:2015-05-12

摘要: 研究了一种基于模糊概念相似度的模糊本体构建方法。对目标数据源进行模糊形式概念分析,构建模糊概念格,利用基于模糊概念相似度的概念聚类算法产生模糊概念聚类,并最终映射得到模糊本体。该方法对模糊概念的内涵及外延的相似度进行了全面的度量,并加入权重因子增强模糊聚类的可调节性。最后通过实例验证了该方法的可行性和有效性。

关键词: 模糊概念相似度, 模糊本体, 概念聚类, 构建方法

Abstract: This paper researches a construction method of fuzzy ontology based on the fuzzy concept similarity. Firstly, the paper gives fuzzy formal concept analysis of the target data source to build a fuzzy concept lattice, then generates the fuzzy concept cluster with the concept cluster algorithm which based on the fuzzy conceptual similarity, and finally mapping to get the fuzzy ontology. This method has a comprehensive measure of the fuzzy concept similarity of connotation and denotation, and adding the weight factor to enhanced the fuzzy clustering adjustability. At last, the examples demonstrate the feasibility and effectiveness of the method.

Key words: fuzzy concept similarity, fuzzy ontology, concept cluster, construction method