A web service discovery method based on data segmentation and wordnet

Abstract

The Web service infrastructure has been an important software component on the Internet. A critical step in Web service applications is the service discovery method. The structured information in the web services description language (WSDL) of a Web service is unsuitable when using the traditional information retrieval (IR) method. We propose a Web service discovery method that is based on extracting information from WSDL documents. The method employs data segmentation to analyze the information to a meaningful structure where the traditional IR techniques can be applied. Furthermore, WordNet has been exploited in this method to carry out a synonym search. The experiments show that our method represents a significant improvement in the performance of Web service discovery.