研究语义Web服务匹配问题，提高匹配效率。传统Web服务基于关键字匹配，灵活性差，查准率和查全率偏低；语义Web服务引入机器可理解的语义信息，提高了信息共享程度及服务检索成功率，但服务响应慢，系统开销大。为了提高Web服务匹配效率，降低系统成本，提出一种基于语义相似度的Web服务混合匹配策略。首先对语义Web服务匹配问题进行分析，然后建立基于语义相似度的Web服务混合匹配模型，最后在西江物流平台中设计了一个基于语义Web服务的混合匹配框架。实际应用效果表明，混合匹配策略实现了语义Web的更好匹配，为客户提供更为快捷、准确的“寻车配货”服务。%This paper focuses on the research in Web service matching so as to improve matching efficiency. Because traditional Web service is based on keywords matching, it has shortage in flexibility and lower percentage of recall and precision. Meanwhile, al-though Semantic Web service introducing understandable semantic information can improve information sharing and success ratio of service retrieves, its service response is too slow and the cost of such a Web service system is very high. In order to improve Web service matching efficiency and reduce system cost, this paper puts forward a strategy of Web service hybrid match-making based on semantic similarity. In this paper, Semantic Web service matching has been analyzed first. Next, a model of service hybrid match-making has been built on the basis of semantic similarity. Finally, based on semantic Web service, a hybrid match-making framework is designed on Xijiang Logistics Platform. Practical application result shows that hybrid matching strategy achieves better service matching of semantic web than before, which can provide clients with a rapid and accurate service.
展开▼
