基于向量空间的W eb服务发现模糊方法

A fuzzy approach for Web service discovery based on vector spaces

W eb服务已逐渐发展成为重要的分布式计算范式。在综合分析了现有的W eb服务描述文档的基础上,提出了一种基于模糊集的服务特征项集选取算法以及W eb服务向量空间的生成方法。利用生成的向量空间,对W eb服务进行模糊聚类。基于此,文中给出了向量空间中进行W eb服务发现的模糊方法。所提出的方法只需利用现有的W eb服务描述信息,保证了服务发现的有效性。

Web service is becoming an important distributed computing paradigm in recent years. Having comprehensively analyzed the current documents of WDSL （Wireless Digital Subscriber Line）, we proposed a new algorithm based on fuzzy set to select term set that characterize Web services in service corpora, and a generating means of Web service vector spaces. According to the generated vector spaces, fuzzy clustering of Web services can be done. Based on all the above mentioned techniques, an algorithm to discover Web service using a fuzzy approach in the generated vector spaces was presented. Compared with the semantic Web service discovery, our approach is more suitable for the discovery of existing services because it does not require any extra information besides that can be easily obtained from service description files. Experiments show that the proposed approach is effective for service discovery.