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LOG4SWS.KOM: Self-Adapting Semantic Web Service Discovery for SAWSDL

Key:SLES10
Author:Stefan Schulte, Ulrich Lampe, Julian Eckert, Ralf Steinmetz
Date:July 2010
Kind:In proceedings - use for conference & workshop papers
Publisher:IEEE Computer Society
Organization:IEEE
Address:Los Alamitos, CA, USA
Book title:IEEE 2010 Fourth International Workshop of Software Engineering for Adaptive Service-Oriented Systems (SEASS '10) at 2010 IEEE 6th World Congress on Services (SERVICES 2010)
Pages:511-518
ISBN:978-0-7695-4129-7
Language:English
Keywords:Semantic Web Services, Matchmaking, Service Discovery, SOA, SAWSDL
Number of characters:39424
Research Area(s):IT Architectures
Abstract:In recent years, a number of approaches to semantic Web service matchmaking have been proposed. Most of these proposals are based on discrete and thus relatively coarse Degrees of Match (DoMs). However, different basic assumptions regarding the generalization and specialization of semantic concepts in ontologies and their subsequent rating in matchmaking exist. Hence, most matchmakers are only properly suitable if these assumptions are met. In this paper, we present an approach for mapping subsumption reasoning-based DoMs to a continuous scale. Instead of determining the numerical equivalents of the formerly discrete DoMs manually, these values are automatically derived using a linear regression model. This permits not only easy combination with other numerical similarity measures, but also allows to adapt matchmaking to different basic assumptions. These notions are implemented and tested in LOG4SWS.KOM -- a matchmaker for SAWSDL that provides very good evaluation results with respect to Information Retrieval metrics such as precision and recall.
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