语义Web服务匹配相似度算法
n Algorithm for Measuring Similarity In Semantic Web Service Matchmaking
本文提出了一种语义WEB服匹配相似度的计算方法。本算法基于本体概念,最终获得请求和候选服务之间的相似度。其中采用的单概念语义匹配算法全面考虑了深度、继承关系和二元关系,使本体关系结构构成了图结构。计算语义距离时,处理了多继承问题和环问题。同时多概念语义匹配算法引入了对重复匹配的处理。在输入、输出匹配中,考虑了参数个数的问题,采用分三个等级计算相似度。实验证明,本论文的算法使得匹配更加精确。
Similarity degree measuring based on ontology is the key to automated matchmaking of semantic web services. This paper presented an algorithm for measuring similarity in semantic web service matchmaking which was based on ontology and calculated the similarity between the request and the candidate service finally. The single-element matching algorithm took several aspects into account: the concept’s depth, inheritance relationship, especially multi-inheritance among concepts, which made all the ontology to constitute a graph structure. And it handled multi-inheritance problems and circle problems in process of calculating the semantic distance of two concepts. What’s more, multi-element matching algorithm enhances the disposal of the repeat matching. In the process of matching inputs and outputs, the number of parameters was used in measuring similarity in three grades, which made matchmaking more accurate as proved.
程珊珊
计算技术、计算机技术
语义web服务语义匹配相似度
Semantic Web ServicesMatchmakingSimilarity
程珊珊.语义Web服务匹配相似度算法[EB/OL].(2009-01-19)[2025-08-21].http://www.paper.edu.cn/releasepaper/content/200901-865.点此复制
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