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.
出处
《计算机工程与设计》
CSCD
北大核心
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)
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
fuzzy concept lattice
fuzzy ontology
fuzzy concept node
generating
concept distance cluster
作者简介
李慧琳（1985-），女，山东聊城人，硕士研究生，研究方向为智能信息处理
刘宁（1957-），女，辽宁大连人，硕士，教授，研究方向为智能信息处理
李冠宇（1963-），男，辽宁北镇人，硕士，教授，研究方向为智能信息处理。E-mail：liun571@126．com
