Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.websem.2011.08.001 | J. Web Sem. |
Keywords | DocType | Volume |
available service,SAWSDL semantic annotation,SAWSDL service matching,effective Semantic Web Service,SAWSDL service discovery,proper service,semantic matching strategy,matching strategy,different matching strategy,preferred matching strategy,statistical-model-based matching strategy | Journal | 9 |
Issue | ISSN | Citations |
4 | 1570-8268 | 18 |
PageRank | References | Authors |
0.89 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dengping Wei | 1 | 57 | 5.90 |
| Ting Wang | 2 | 725 | 120.28 |
| Ji Wang | 3 | 33 | 1.88 |
| Abraham Bernstein | 4 | 156 | 13.80 |