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An overview of current ontology meta-matching solutions

Published online by Cambridge University Press:  12 November 2012

Jorge Martinez-Gil  and
José F. Aldana-Montes
Jorge Martinez-Gil
Affiliation:
Department of Computer Language and Computing Sciences, University of Málaga, Boulevard Louis Pasteur 35, 29071 Málaga, Spain; e-mail: jorgemar@unex.es, jfam@lcc.uma.es
José F. Aldana-Montes
Affiliation:
Department of Computer Language and Computing Sciences, University of Málaga, Boulevard Louis Pasteur 35, 29071 Málaga, Spain; e-mail: jorgemar@unex.es, jfam@lcc.uma.es
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Abstract

Nowadays, there are a lot of techniques and tools for addressing the ontology matching problem; however, the complex nature of this problem means that the existing solutions are unsatisfactory. This work intends to shed some light on a more flexible way of matching ontologies using ontology meta-matching. This emerging technique selects appropriate algorithms and their associated weights and thresholds in scenarios where accurate ontology matching is necessary. We think that an overview of the problem and an analysis of the existing state-of-the-art solutions will help researchers and practitioners to identify the most appropriate specific features and global strategies in order to build more accurate and dynamic systems following this paradigm.

Type
Articles
Information
The Knowledge Engineering Review , Volume 27 , Issue 4 , December 2012 , pp. 393 - 412
Copyright
Copyright © Cambridge University Press 2012

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