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RESEARCH ARTICLE   Open Access    

An overview of current ontology meta-matching solutions

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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.
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  • Cite this article

    Jorge Martinez-Gil, José F. Aldana-Montes. 2012. An overview of current ontology meta-matching solutions. The Knowledge Engineering Review 27(4)393−412, doi: 10.1017/S0269888912000288
    Jorge Martinez-Gil, José F. Aldana-Montes. 2012. An overview of current ontology meta-matching solutions. The Knowledge Engineering Review 27(4)393−412, doi: 10.1017/S0269888912000288

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RESEARCH ARTICLE   Open Access    

An overview of current ontology meta-matching solutions

The Knowledge Engineering Review  27 2012, 27(4): 393−412  |  Cite this article

Abstract: 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.

    • The authors wish to thank all anonymous reviewers for their comments and suggestions, which have helped to improve this work. This work has been funded by the Spanish Ministry of Innovation and Science through the project: ICARIA: from Semantic Web to Systems Biology, Project Code: TIN2008-04844 and by Regional Government of Andalucia through: Pilot Project for Training on Applied Systems Biology, Project Code: P07-TIC-02978.

    • Copyright © Cambridge University Press 20122012Cambridge University Press
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    Cite this article
    Jorge Martinez-Gil, José F. Aldana-Montes. 2012. An overview of current ontology meta-matching solutions. The Knowledge Engineering Review 27(4)393−412, doi: 10.1017/S0269888912000288
    Jorge Martinez-Gil, José F. Aldana-Montes. 2012. An overview of current ontology meta-matching solutions. The Knowledge Engineering Review 27(4)393−412, doi: 10.1017/S0269888912000288
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