Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2

Matthias Klusch, Patrick Kapahnke and Ingo Zinnikus
Additional contact information
Matthias Klusch: German Research Center for Artificial Intelligence (DFKI), Germany
Patrick Kapahnke: German Research Center for Artificial Intelligence (DFKI), Germany
Ingo Zinnikus: German Research Center for Artificial Intelligence (DFKI), Germany

International Journal on Semantic Web and Information Systems (IJSWIS), 2010, vol. 6, issue 4, 1-26

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.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jswis.2010100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:6:y:2010:i:4:p:1-26

Access Statistics for this article

International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta

More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().