Table of Contents Author Guidelines Submit a Manuscript
Advances in Multimedia
Volume 2011 (2011), Article ID 238683, 7 pages
Research Article

A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques

Multimedia Mobile Radio Networks Research Unit (MEDIATRON), Higher School of Communication of Tunis (Sup'Com), University of Carthage, City of Communication Technologies, 2083 Ariana, Tunisia

Received 4 November 2011; Accepted 30 December 2011

Academic Editor: Tai Hoon Kim

Copyright © 2011 Asma Adala et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As a greater number of Web Services are made available today, automatic discovery is recognized as an important task. To promote the automation of service discovery, different semantic languages have been created that allow describing the functionality of services in a machine interpretable form using Semantic Web technologies. The problem is that users do not have intimate knowledge about semantic Web service languages and related toolkits. In this paper, we propose a discovery framework that enables semantic Web service discovery based on keywords written in natural language. We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description. Additionally, we present an efficient semantic matching technique to compute the semantic distance between ontological concepts.