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An Efficient Holistic Schema Matching Approach

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Information and Communication Technology and Applications (ICTA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1350))

Abstract

Schema matching allows a certain way of communication between heterogeneous, autonomous and distributed data sources. We choose the matching approach depending on the number of sources we wish to integrate: pairwise matching approaches for a small to a medium total number of data sources, and holistic matching approaches for a big to a huge number of data sources. Nevertheless, current matching approaches were proven to achieve a very moderate matching accuracy. Moreover, holistic matching approaches operate in a series of two-way matching steps. In this paper, we present hMatcher, an efficient holistic schema matching approach. To execute holistic schema matching, hMatcher captures frequent schema elements in the given domain prior to any matching operation. To achieve high matching accuracy, hMatcher uses a context-based semantic similarity measure. Experimental results on real-world domain show that hMatcher performs holistic schema matching properly, and outperforms current matching approaches in terms of matching accuracy.

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Notes

  1. 1.

    http://oaei.ontologymatching.org/2019/.

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Authors and Affiliations

  1. Software Project Management Research Team, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

    Aola Yousfi, Moulay Hafid El Yazidi & Ahmed Zellou

Authors
  1. Aola Yousfi
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  2. Moulay Hafid El Yazidi
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  3. Ahmed Zellou
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Corresponding author

Correspondence to Aola Yousfi .

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Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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Yousfi, A., El Yazidi, M.H., Zellou, A. (2021). An Efficient Holistic Schema Matching Approach. In: Misra, S., Muhammad-Bello, B. (eds) Information and Communication Technology and Applications. ICTA 2020. Communications in Computer and Information Science, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-69143-1_45

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  • DOI: https://doi.org/10.1007/978-3-030-69143-1_45

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