Special Issue Article Open Access

Efficient Discovery of Semantic Web Services

Abstract

In this paper, our work is mainly focused on to discover the semantic web services efficiently and also for making the use of semantic web service easier. Semantic Web Service is a revolutionary technology which is growing popularly, due to the increased level of machine understandability. One of the major open problem of semantic web service discovery is approximated matching. We propose semantic web service discovery (SWSD) framework using Sense based match making mechanism that provides flexibility for searching exact word. It incorporates NLP techniques for disambiguating words, meanings and establishing a context for a set of words. This mechanism improves the quality of discovery process which enhances the user selection and also helps to express the desired semantic Web services. The experimental test shows the positive impact on the discovery process.

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