A Linguistic Approach for Semantic Web Service Discovery

This thesis presents a Semantic Web Service Discovery framework for finding semantically annotated Web services by making use of natural language processing techniques. The framework allows searching through a set of annotated Web services in order to find a match with a user query, consisting of keywords and their associated part-of-speech tags. For matching keywords with semantic Web service descriptions given in WSMO, techniques like part-of-speech tagging, lemmatization, and word sense disambiguation are used. After determining the senses of relevant words gathered from Web service descriptions and the user query, a matching process takes place. The Semantic Web Service Discovery framework and its implementation helps end-users to search for specific Web services based on the context of their needs. By specifying a query using keywords, end-users do not need to have knowledge about semantic languages, which makes it easy to express the desired Web services.