Improving Semantic Web Service Composition Performance Using Apriori Algorithm

There are many usages for the web services in the World Wide Web. For creating new services the people can compose other developed services in the way the people want to use them. The large amount of web services make composing of services a time consuming and impossible job. So to compose services some automated and semi-automated ways were developed. One of these ways is Semantic Web Services (SWS). In this paper, the authors introduced a method based on association rule mining techniques on web services to find the best composition among possible compositions to improve quality and performance of web service composition.