The lack of web services semantic description leads to inadequate services search results from services registries. We propose a novel approach to semantically cluster web services, and group the similar web services based on the services similarity matrix so as to improve services discovery and composition. The proposed approach uses WordNet-Similarity to compute the similarity of terms of service name, description, I/O parameters, and then re-weights the services vector to decide the similarity of services. The method based on web service semantics we introduced has an acceptable result.
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