Reference Hub10
Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2

Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2

Matthias Klusch, Patrick Kapahnke, Ingo Zinnikus
Copyright: © 2010 |Volume: 6 |Issue: 4 |Pages: 26
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781613502402|DOI: 10.4018/jswis.2010100101
Cite Article Cite Article

MLA

Klusch, Matthias, et al. "Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2." IJSWIS vol.6, no.4 2010: pp.1-26. http://doi.org/10.4018/jswis.2010100101

APA

Klusch, M., Kapahnke, P., & Zinnikus, I. (2010). Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2. International Journal on Semantic Web and Information Systems (IJSWIS), 6(4), 1-26. http://doi.org/10.4018/jswis.2010100101

Chicago

Klusch, Matthias, Patrick Kapahnke, and Ingo Zinnikus. "Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2," International Journal on Semantic Web and Information Systems (IJSWIS) 6, no.4: 1-26. http://doi.org/10.4018/jswis.2010100101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this paper, the authors present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three types of semantic matching of an advertised service with a requested one, which are described in standard SAWSDL: logic-based, text-similarity-based and XML-tree edit-based structural similarity. Before selection, SAWSDL-MX2 learns the optimal aggregation of these different matching degrees off-line over a random subset of a given SAWSDL service retrieval test collection by exploiting a binary support vector machine-based classifier with ranking. The authors present a comparative evaluation of the retrieval performance of SAWSDL-MX2.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.