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基于语义网的语义相似度算法改进
引用本文:张承立,陈剑波,齐开悦.基于语义网的语义相似度算法改进[J].计算机工程与应用,2006,42(17):165-166,179.
作者姓名:张承立  陈剑波  齐开悦
作者单位:上海交通大学信息安全学院,上海,200240
摘    要:传统的语义相似度算法采用纯语义距离或以本体库的统计特性为基础。论文的改进算法把这两者结合起来,互为约束,并且加入了“深度”和“密度”对语义距离的辅助影响。改变语义相关性的比重只需调节算法中的一个参数。最后通过WordNet构造的局部语义树,比较了各算法的有效性。

关 键 词:语义相似度  语义相关性  语义距离  本体库
文章编号:1002-8331-(2006)17-0165-02
收稿时间:2005-09
修稿时间:2005-09

Improvement on the Arithmetic of Semantic Similarity Based on the Semantic Web
Zhang Chengli,Chen Jianbo,Qi Kaiyue.Improvement on the Arithmetic of Semantic Similarity Based on the Semantic Web[J].Computer Engineering and Applications,2006,42(17):165-166,179.
Authors:Zhang Chengli  Chen Jianbo  Qi Kaiyue
Affiliation:Institute of Information Security, SJTU, Shanghai 200240
Abstract:Traditional arithmetic of semantic similarity is based on the simple semantic distance or certain statistical property of some Ontology.Our arithmetic try to combine these two aspects for inter-restriction in our schema,and take the assistant influence of 'depth' and 'dense' into account.Only one parameter need to be modified if we want to adjust the proportion of semantic Relativity.In the last part,we have constructed a part map of the semantic tree using WordNet in order to compare the validity of each arithmetic.
Keywords:semantic similarlty  semantic relativity  semantic distance  ontology
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