In pervasive computing environment, how to combine the context information to discover the services satisfying users' requirements is a key issue in Web services studies. A context-based Web service discovery framework is proposed in the paper. Firstly, a context model using ontology vocabulary is presented. Then, users' feedback information is used to calculate the weight, and a matching algorithm of similarity-based semantic Web service is introduced as well. At last, experimental results verify the validity of the matching algorithm.%在普适计算环境下,如何结合情境信息以发现满足用户需求的服务,是目前Web服务研究的一个关键问题.提出一种基于情境的Web服务发现框架,采用本体进行情境建模,利用用户反馈信息进行权重计算,并给出了一个基于相似度的语义Web服务的匹配算法.最后通过实验验证了该方法的有效性.
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