Abstract
This chapter presents the work in progress on a hybrid approach-based generic framework for semantic web services (SWSs) discovery. The novelty of this generic framework is its pertinence and coverage for diverse semantic formalisms, natural language processing of service descriptions and user queries, classification of services, and deposition of classified services to a repository known as a concept-sense knowledge base (CSKb). This manuscript investigates the significance of senses, which are extracted either from SWS concepts or user query concepts by means of natural language processing techniques. The examination of sense significance is based upon a set of three experiments on OWLS-TC V4. The experimental evaluation signifies that the senses together with concepts substantially improve the ultimate semantic similarity score in the match-making process.
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