Web Services Classification Based on Intelligent Clustering Techniques
Huiying Gao, Wolffried Stucky, Lei Liu · 2009
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 self-organizing neural network based learning algorithm and clustering algorithm are designed and implemented to classify the Web services automatically.