Domain-aware web service clustering based on ontology generation by text mining

According to the growth of the Web, the number of Web services is increased rapidly and efficient Web service discovery has become an important and challenging task. To overcome this issue, in this paper we proposed a Web service clustering method through calculating the semantic similarity of Web services using novel ontology learning method. The method uses terms similarity and terms specificity for ontology generation. Amount of domain specific information included in the term is identified as a specificity of the term. To calculate the similarity of Web services using generated ontology, this paper defines new logic based filters. If calculating similarity using the generated ontology failed, then applied information-retrieval-based methods. Empirical study of our novel approach has proved the effectiveness of clustering process. Further, experimental results show that our clustering approach works efficiently and performs better than existing approaches.