Web services classification based on intelligent clustering techniques

Abstract

The better way for Web services discovery is to classify the Web services into different categories when they are published in a registry. The method of intelligent clustering based classification of the Web services is mainly studied. A hybrid solution is proposed for building and populating a taxonomy structure by combining human knowledge with the techniques of artificial intelligence. The Web service is converted into standard vector format through Web service description language (WSDL) document. The selforganizing neural network based learning algorithm and clustering algorithm are designed and implemented to classify the Web services automatically. © 2009 IEEE.