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Scientific Programming
Volume 2015 (2015), Article ID 576463, 15 pages
http://dx.doi.org/10.1155/2015/576463
Research Article

Prefiltering Strategy to Improve Performance of Semantic Web Service Discovery

Department of Computer Engineering, Eastern Mediterranean University, Famagusta, Northern Cyprus, Mersin 10, Turkey

Received 25 May 2015; Revised 12 August 2015; Accepted 14 September 2015

Academic Editor: Wan Fokkink

Copyright © 2015 Samira Ghayekhloo and Zeki Bayram. 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.

Abstract

Discovery of semantic Web services is a heavyweight task when the number of Web services or the complexity of ontologies increases. In this paper, we present a new logical discovery framework based on semantic description of the capability of Web services and user goals using F-logic. Our framework tackles the scalability problem and improves discovery performance by adding two prefiltering stages to the discovery engine. The first stage is based on ontology comparison of user request and Web service categories. In the second stage, yet more Web services are eliminated based upon a decomposition and analysis of concept and instance attributes used in Web service capabilities and the requested capabilities of the client, resulting in a much smaller pool of Web services that need to be matched against the client request. Our prefiltering approach is evaluated using a new Web service repository, called WSMO-FL test collection. The recall rate of the filtering process is 100% by design, since no relevant Web services are ever eliminated by the two prefiltering stages, and experimental results show that the precision rate is more than 53%.