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Ontology-based materialized views for reverse engineering: Toward a set of conceptual guidelines

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  • Oumar Sy

    (Université Gaston BERGER/U.F.R Sciences Appliquées et de Technologie (Comp. Sc.), Saint-Louis, Sénégal)

Abstract

Data reuse and metadata handling remain tricky problem for both the designers and managers, especially when schemas reverse engineering is on demand and that some data are stored in materialized views. In this paper, we tackle such problem by using ontology-based meta-materialized views. Indeed, ontologies, which are semantics-based, ensure the stability of the underlying schemas of the data repositories and to ease the overall access and processing of the data and metadata. Our proposal is sustained by a set of conceptual guidelines and outlined through a case study example.

Suggested Citation

  • Oumar Sy, 2019. "Ontology-based materialized views for reverse engineering: Toward a set of conceptual guidelines," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 410-423.
    • Handle: RePEc:vrn:katinf:y:2019:i:1:p:410-423
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    File URL: http://informatics.ue-varna.bg/conference19/Conf.proceedings_Informatics-50.years%20410-423.pdf
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    More about this item

    Keywords

    Relational database; conceptual modeling; domain ontology; reverse engineering; materialized view; SQL;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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