Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2015(Vol.10, Issue:5)
Article Information:

Rule Based Fine Tuned Web Service Discovery using JESS

A. Gnanasekar and R.M. Suresh
Corresponding Author:  A. Gnanasekar 
Submitted: 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.

Key words:  Java expert system shell, quality of service parameters, service oriented architecture, web service discovery, , ,
Abstract PDF HTML
Cite this Reference:
A. Gnanasekar and R.M. Suresh, . Rule Based Fine Tuned Web Service Discovery using JESS. Research Journal of Applied Sciences, Engineering and Technology, (5): 562-569.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved