Domain Classification by Granular Computing used in a P2P Approach for Web Service Discovery

This paper presents a framework for Web service domain classification by granular computing. How to classify the Web services is a big issue because of fuzzy knowledge about these Web services. It is reasonable to assume that the Web services have vague boundaries of the domains they are belonged to. Here, we use roughness function measurement based on P-lower, NP-lower and P-upper,NP-upper approximations of P set (properties) to find the most suitable Web services. We also use the hierarchical algorithm to find the suitable Web service effective. The framework for Web service domain classification can be used in Web service discovery based on VIRGO domain classification P2P technologies.