Abstract:

This paper proposes a hybrid service matching method based on OWL-S descriptions. Different matching degrees are achieved based on the input and output function parameters of service. The large set of available Web service is clustered into a set of smaller groups, a logic reasoning approximate computing based on ontology is applied, which is followed by a syntactic approximate computing based on Singular Value Decomposition(SVD). Service approximate computing is conducted within both syntactic-level and semantic-level. Experimental results show that the proposed method outperforms several other methods.

Key words: Web service, ontology, cluster, Singular Value Decomposition(SVD)

摘要：

提出一种基于OWL-S描述的混合服务匹配方法，得到服务输入/输出功能参数的匹配度。该方法对服务集进行聚类以减少计算量，在语法层面上做基于奇异值分解的统计相似计算，在语义层面上基于本体做逻辑推理相似计算，根据两者结合的结果得出服务相似度计算。实验结果表明，该方法优于其他常用的方法。

关键词: Web服务, 本体, 聚类, 奇异值分解

CLC Number: 

• TP391