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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title SAWSDL-iMatcher: A customizable and effective Semantic Web Service matchmaker
Organization Unit
Authors
  • Dengping Wei
  • Ting Wang
  • Ji Wang
  • Abraham Bernstein
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Web Semantics: Science, Services and Agents on the World Wide Web
Publisher Elsevier
Geographical Reach international
ISSN 1570-8268
Volume 9
Number 4
Page Range 402 - 417
Date 2011
Abstract Text As the number of publicly available services grows, discovering proper services becomes an important issue and has attracted amount of attempts. This paper presents a new customizable and effective matchmaker, called SAWSDL-iMatcher. It supports a matchmaking mechanism, named iXQuery, which extends XQuery with various similarity joins for SAWSDL service discovery. Using SAWSDL-iMatcher, users can flexibly customize their preferred matching strategies according to different application requirements. SAWSDL-iMatcher currently supports several matching strategies, including syntactic and semantic matching strategies as well as several statistical-model-based matching strategies which can effectively aggregate similarity values from matching on various types of service description information such as service name, description text, and semantic annotation. Besides, we propose a semantic matching strategy to measure the similarity among SAWSDL semantic annotations. These matching strategies have been evaluated in SAWSDL-iMatcher on SAWSDL-TC2 and Jena Geography Dataset (JGD). The evaluation shows that different matching strategies are suitable for different tasks and contexts, which implies the necessity of a customizable matchmaker. In addition, it also provides evidence for the claim that the effectiveness of SAWSDL service matching can be significantly improved by statistical-model-based matching strategies. Our matchmaker is competitive with other matchmakers on benchmark tests at S3 contest 2009.
Digital Object Identifier 10.1016/j.websem.2011.08.001
Other Identification Number merlin-id:5093
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