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如何动态地选择出适合用户需求的Web服务已经成为应用Web服务的关键问题。为提高Web服务的查找效率,提出一种支持QoS的语义Web服务发现框架。首先利用聚类技术,将相似度高的服务聚为一类,过滤掉与服务请求完全不同类别的服务,形成候选服务集。其次在对服务质量匹配的基础上,引入信誉机制,联合第三方机构,及时更新QoS的值,为请求者选择QoS综合值最高的服务,从而提高服务查询的精度和效率。
How to dynamically select a web service that meets the needs of users has become a key issue in the application of web services. In order to improve the search efficiency of Web services, a semantic Web services discovery framework supporting QoS is proposed. First of all, using the clustering technology, the services with high similarity are grouped into one category, and services completely different from the service request are filtered out to form a candidate service set. Second, based on the matching of service quality, credit mechanism is introduced to unite third-party agencies to update the value of QoS in time and select the service with the highest QoS integrated value for the requester, so as to improve the accuracy and efficiency of service query.