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Holistic Schema Matching

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Encyclopedia of Big Data Technologies

Synonyms

Collective schema matching

Definition

Holistic schema matching aims at identifying semantically corresponding elements in multiple schemas, e.g., database schemas, web forms, or ontologies. The corresponding elements from N (>2) sources are typically grouped into clusters with up to N members. Holistic schema matching is usually applied when multiple schemas need to be combined within an integrated schema or ontology.

Overview

Holistic schema matching aims at identifying semantically corresponding elements in multiple (>2) schemas, such as database schemas, web forms, or ontologies. It is to be contrasted with the traditional pairwise schema matching (Rahm and Bernstein 2001; Euzenat and Shvaiko 2013) between two input schemas only that determines a so-called mapping consisting of a set of correspondences, i.e., pairs of elements of the input schemas (table attributes, ontology concepts) that match with each other. Holistic schema matching is applied to more than two input...

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Author information

Authors and Affiliations

  1. University of Leipzig, Leipzig, Germany

    Erhard Rahm & Eric Peukert

Authors
  1. Erhard Rahm
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  2. Eric Peukert
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Corresponding author

Correspondence to Erhard Rahm .

Editor information

Editors and Affiliations

  1. School of Comp. Sci. and Engineering, University of New South Wales School of Comp. Sci. and Engineering, Eveleigh, New South Wales, Australia

    Sherif Sakr

  2. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

Section Editor information

  1. Database Systems Group, Technische Universität Dresden, Dresden, Saxony, Deutschland

    Maik Thiele

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Rahm, E., Peukert, E. (2018). Holistic Schema Matching. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_12-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_12-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

  • eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering

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