摘要
Web服务数量的不断增加使得服务发现逐渐成为研究热点,同时,也为Web服务发现带来了巨大的挑战。传统的Web服务发现或是通过对UDDI上的服务注册信息进行关键词匹配,或是基于WSDL文档的Web服务聚类来实现的,然而这两种服务发现方法都不能满足用户的需求。目前,由于标签能够体现信息及信息之间的关联性而在Web服务上得以广泛的利用,基于现有的聚类技术,提出基于标签的Web服务聚类方法。对于标签数较少的服务,通过推荐算法为其推荐标签并与WSDL文档中的特征相合进行聚类。在实验中,该算法与现有Web聚类算法进行比较并得到更好的结果,证明该算法的有效性。
With the increasing number of Web service, Web service discovery becomes a hotspot. Current infrastructures of Web services discovery, such as keywords-based matching with UDDI registration information and WSDL-based Web service cluster becomes inefficient. Now tags are widely applied in Web service. Proposes Web services cluster based on tags combing with WSDL document information. For those Web services which have fewer tags, we recommend tags by tag recommend algorithm. In the experiment, we compare this method with other Web services cluster algorithms and demonstrate the effectiveness of this method.
