Abstract

The usage of Web services has increased explosively in recent years, and Web services users have to predefine the functional and non-functional requirements to get proper Web services. To get the most relevant Web services, Web services user has to construct the request using the keywords that best describe the user's objective. Clustering Web services based on function similarities would greatly boost the processing of finding the proper Web services. In this paper, we construct Web services similarity networks based on features extracted from WSDL documents and semantic similarity computation. And then propose a method to clustering Web services based on the Web services similarity networks. The experiments on public datasets invalidate the accuracy of the proposed method compared to the existing clustering algorithms.

Paper Details