Element similarity measures in XML schema matching

Authors:
Alsayed Algergawy;Richi Nayak;Gunter Saake
Affiliations:
Department of Computer Science, University of Leipzig, Postfach 100920, 04009 Leipzig, Germany;Queensland University of Technology, School of Information Systems, GPO Box 2434, Brisbane, Australia;Faculty of Computer Science, Magdeburg University, 39106 Magdeburg, Germany
Venue:
Information Sciences: an International Journal
Year:
2010

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Abstract

Schema matching plays a central role in a myriad of XML-based applications. There has been a growing need for developing high-performance matching systems in order to identify and discover semantic correspondences across XML data. XML schema matching methods face several challenges in the form of definition, adoption, utilization, and combination of element similarity measures. In this paper, we classify, review, and experimentally compare major methods of element similarity measures and their combinations. We aim at presenting a unified view which is useful when developing a new element similarity measure, when implementing an XML schema matching component, when using an XML schema matching system, and when comparing XML schema matching systems.