一种改进的概念语义相似度计算方法  

Improved Concept Semantic Similarity Computation Method

作　　者：张艳霞[1] 张英俊[1] 潘理虎[1] 谢斌红[1] 陈立潮[1] 

机构地区：[1]太原科技大学计算机科学与技术学院,太原030024

出　　处：《计算机工程》2012年第12期176-178,共3页Computer Engineering

基　　金：山西省自然科学基金资助项目(2009011022-1);山西省教育厅UIT基金资助项目;太原科技大学研究生创新基金资助项目(20111023)

摘　　要：针对当前概念相似度计算的片面性和不完善性等不足,提出一种改进的基于语义距离的概念间语义相似度计算方法。从有向边包含的信息量、有向边的类型以及概念密度3个方面对语义距离进行扩展,将语义距离转换成语义相似度,通过引入不对称因子,使最终概念语义相似度计算更加精确。将该方法与基于信息量方法、基于距离方法及人的主观判断结果进行比较,验证了该方法的可行性和有效性。Aiming at the problem of the one-sided and incomplete nature for the current concept similarity computation,this paper presents an improved concept semantic similarity computation method which is based on semantic distance.It spreads semantic distance from three sides of the information contained in directed edge,the directed edge type and concept density,turns semantic distance to semantic similarity.At the same time,this paper introduces the dissymmetry factor,and makes the last concept semantic similarity computation more exact.Comparing this method with information-based method,distance-based method and the human subjective judgment,result proves that this method is feasible and valid.

关 键 词：本体 语义相似度 语义距离 语义密度 权重 不对称因子 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]