A Hybrid Approach to Automatic Web Services Discovery

Service-oriented Architecture (SOA) is gaining its popularity as a new paradigm for developing next generation service systems. One of the most touted features with SOA is its ability to automatically discover Web services that meet the need of users. Existing researches in Web services discovery either use information retrieval techniques or semantic-based methods for locating Web services. In this paper, we proposed a hybrid approach that incorporate both textual and ontology information about Web services. The proposed approach uses multiple criteria decision making technique to determine the weights of different attributes. 103 real-world Web services are used in our experiments, and the experimental results show that our proposed approach generally yields better result than existing methods that employ only one source of information.