Research on Fuzzy Matching Model for Semantic Web Services

Semantic descriptions of Web services are necessary in order to enable their automatic discovery, composition and execution across heterogeneous users and domains on the basis of ontology. Matching approach is considered as one of the crucial factors to ensure dynamic discovery and composition of Web services. Current matching methods such as UDDI or Larks are inadequate given their inability to abstract and classify Web services. Therefore proposes a novel matching model which exploits fuzzy logic in order to abstract and classify the underlying data of Web services by fuzzy terms and rules. The aim is to make the match between service advertisement with service request more effective and allow vague terms in the search query and to provide more suited services for requesters.