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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。
Research semantic Web service matching problem, improve matching efficiency. Traditional Web services based on keyword matching, poor flexibility, accuracy and recall rate is low; Semantic Web services introduce machine understandable semantic information to improve the degree of information sharing and service retrieval success rate, but the service response is slow, the system overhead Big. In order to improve the efficiency of Web service matching and reduce the system cost, a web service hybrid matching strategy based on semantic similarity is proposed. Firstly, we analyze the matching of semantic web services, and then establish a web service hybrid matching model based on semantic similarity. Finally, we design a hybrid matching framework based on semantic web services in Xijiang logistics platform. The practical application shows that the hybrid matching strategy can achieve a better match of the semantic Web and provide more efficient and accurate service for customers.