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     Research Journal of Applied Sciences, Engineering and Technology


Rule Based Fine Tuned Web Service Discovery using JESS

1A. Gnanasekar and 2R.M. Suresh
1Department of Computer Science and Engineering, R.M.D. Engineering College
2Sri Muthukumaran Institute of Technology, Anna University, Chennai, India
Research Journal of Applied Sciences, Engineering and Technology  2015  5:562-569
http://dx.doi.org/10.19026/rjaset.10.2464  |  © The Author(s) 2015
Received: November ‎27, ‎2014  |  Accepted: January ‎8, ‎2015  |  Published: June 15, 2015

Abstract

The aim of this study is to present a novel approach which uses Java Expert System Shell (JESS) to intelligently infer the best and most relevant Web service. Since the Web Service has developed as a service provider in all areas, the Service discovery has become indispensable as Web Service discovery algorithms return more than one Web Service with same functionalities. Generally, the functional properties of the Web Services, such as Input, Output, Precondition, Effects (IOPE) are considered in the composition phase whereas the non-functional properties, namely Quality of Service (QoS) parameters are used in selecting the most appropriate Web Service. User Rule-based searching is accomplished along with users’ preferences which map the rules of the user profile into JESS script to discover the desired Web Service. As a result of our research we support developers to combine and implement the Web Service description and discovery approaches that will ensure best and most relevant service and performance of service oriented architecture.

Keywords:

Java expert system shell, quality of service parameters, service oriented architecture, web service discovery,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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