Abstract

This paper proposes an approach of web service organization based on cloud clustering and virtualized service community against the low efficiency and low precision in the existing web services discovery process. Starting with improving the method of service clustering, the approach is designed to accomplish as a form of spanning tree based on ontology similarity matchmaking algorithm. Moreover the inner services of the trees are registered, monitored and organized by the clustering center. Then we built the cooperative relationship between web services based on semantic relativity and which is benefit for web service composing process. In addition, the virtualized service community (VSC) is built with the cooperative relationship between web services. Experimental results show that the improved service organization approach can raise service discovery efficiency and precision ratio by controlling the threshold of service similarity without influence on recall.

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