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International Conference on Model and Data Engineering

MEDI 2011: Model and Data Engineering pp 18–30Cite as

Schema, Ontology and Metamodel Matching - Different, But Indeed the Same?

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6918))

Abstract

During the last decades data integration has been a challenge for applications processing multiple heterogeneous data sources. It has been faced across the domains of schemas, ontologies, and metamodels, inevitably imposing the need for mapping specifications. Support for the development of such mappings has been researched intensively, producing matching systems that automatically propose mapping suggestions.

Since an overall relation between these systems is missing, we present a comparison and overview of 15 systems for schema, ontology, and metamodel matching. Thereby, we pursue a structured analysis of applied state-of-the art matching techniques and the internal models of matching systems.

The result is a comparison of matching systems, highlighting their commonalities and differences in terms of matching techniques and used information for matching, demonstrating significant similarities between the systems. Based on this, our work also identifies possible knowledge sharing between the domains, e.g. by describing techniques adoptable from another domain.

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Authors and Affiliations

  1. SAP Research Center Dresden, Chemnitzer Strasse 48, 01187, Dresden, Germany

    Petko Ivanov & Konrad Voigt

Authors
  1. Petko Ivanov
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  2. Konrad Voigt
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Editor information

Editors and Affiliations

  1. LISI/ENSMA Poitiers University, Futuroscope, France

    Ladjel Bellatreche

  2. Departamento Engenharia Informática, Instituto Politécnico de Leiria, Escola Superior Tecnologia e Gestão de Leiria, Rua General Norton de Matos, 2411-901, Leiria, Portugal

    Filipe Mota Pinto

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© 2011 Springer-Verlag Berlin Heidelberg

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Ivanov, P., Voigt, K. (2011). Schema, Ontology and Metamodel Matching - Different, But Indeed the Same?. In: Bellatreche, L., Mota Pinto, F. (eds) Model and Data Engineering. MEDI 2011. Lecture Notes in Computer Science, vol 6918. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24443-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-24443-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24442-1

  • Online ISBN: 978-3-642-24443-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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