基于本体的语义相似度算法研究  

RESEARCH ON ONTOLOGY-BASED SEMANTIC SIMILARITY ALGORITHM

作　　者：贺元香[1,2] 史宝明[1,2] 张永[2] 

机构地区：[1]兰州文理学院电子与信息工程学院,甘肃兰州730000 [2]兰州理工大学计算机与通信学院,甘肃兰州730050

出　　处：《计算机应用与软件》2013年第11期312-315,共4页Computer Applications and Software

摘　　要：提出一种改进的本体语义相似度计算方法,在本体结构类型的计算中加入了深度、密度、宽度三种权重因子,并且综合考虑语义重合度、语义距离对相似度的影响。通过实验分析,该方法比传统计算方法更加准确、有效,反映了本体结构方面各因素对语义相似度的影响。We propose an improved method of calculating the ontology semantic similarity in this paper. Three kinds of weighting factors, depth, density and width, are added to the calculation of ontology structure types. In addition, the influences of semantic coincidence degree and semantic distance on the similarity are also comprehensively considered. Experimental analysis shows that the method is more accurate and effective than the traditional calculation method, it reflects the influence of different factors of ontology structure on the semantic similarity.

关 键 词：语义相似度 本体 本体结构 语义距离 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]