基于本体概念集合相似度的语义Web服务匹配

摘要

面向应用领域的Web服务发现技术的目标是帮助用户找到能够为其构建应用系统提供功能支持的Web服务,从而来降低应用系统的开发成本和提高开发效率,而在服务发现技术中服务匹配程度的高低是一个关键.为了更有效准确地获得服务之间的匹配程度,文章从Web服务的输入与输出参数的语义描述出发,把语义Web服务的匹配问题转化成本体库中概念向量的相似度计算问题,通过在考虑概念结构上的路径长度、深度和密度影响因素上计算两个概念的相似度的基础上,构建了概念集合的相似度算法.实验表明该算法较别的匹配方法在查全率、特别是查准率上得到了提高.%The goal of application-oriented Web service discovery technology is to enable customers to find out the suitable Web services so as to support functionally the building of application systems , thus reducing cost and improving efficiency, but the degree of service matching is a key in the service discovery technology. In order to get an effective and accurate matching degree of discriminating services, based on the semantic description of Web Service's input and output,the problem of matching semantic Web services is transformed to the computation of semantic similarity between concepts vector in domain ontology. Through considering path length,depth and density factors of the conceptual structure to calculate the similarity of two concepts, thus construct the set of concept similarity algorithm, Experiment results show the enhancement to accuracy and recall.