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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-63320

Wei, Dengping; Wang, Ting; Wang, Ji; Bernstein, Abraham (2011). SAWSDL-iMatcher: A customizable and effective Semantic Web Service matchmaker. Web Semantics: Science, Services and Agents on the World Wide Web, 9(4):402-417.

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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.


12 citations in Web of Science®
20 citations in Scopus®
Google Scholar™



159 downloads since deposited on 20 Jul 2012
26 downloads since 12 months

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Deposited On:20 Jul 2012 11:30
Last Modified:05 Apr 2016 15:52
Publisher DOI:10.1016/j.websem.2011.08.001
Other Identification Number:merlin-id:5093

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