Abstract—Web service is the most interesting research area in Service Oriented Architecture (SOA). Finding a suitable web service at right time is a potential issue, needs to be addressed by the researchers. Available techniques for web service discovery are not proved to be efficient enough neither to discover the right and suitable services nor to find the services in time. The client will request the service according to their needs, situation, and environment conditions. The services are discovered based upon requests of the clients and the contexts. Context aware service discovery aims to find the exact services based on the contexts at which the requests were given by the service consumers. Just-In-Time will provide the right service in right time to the right users. This work proposes a framework for JIT-Oriented web service discovery using Neural Network. The effectiveness of the system is improved by means of neural network. The system will learn from its experience to predict user requirements and provide the services accordingly.
Index Terms—Context-awareness, Just-In-Time (JIT), Neural Network, Web Service Discovery.
Ezhilarasi G is with Department of Computer Science, Pondicherry University, Pudhucherry, India. (e-mail: ezhilmsc@gmail.com).
Dhavachelvan P is with Department of Computer Science, Pondicherry University, Pudhucherry, India. (e-mail: Dhavachelvan@gmail.com
Cite: Ezhilarasi G and Dhavachelvan P, "Effective Web Service Discovery Model Using Neural Network Approach," International Journal of Computer Theory and Engineering vol. 2, no. 5, pp. 773-782, 2010.
Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.
