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Document Data Modeling: A Conceptual Perspective

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New Trends in Databases and Information Systems (ADBIS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1064))

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Abstract

The growing availability of data and the increased popularity of NoSQL databases, that support the idea of managing unstructured or semi-structured data, motivate implementers to skip the phase of a conceptual view of data. However, document data stores belonging to the NoSQL group show a clear tendency of looking for some common feature among documents creating collections. This aspect motivates us to propose a model for the conceptual representation of a document data store based on UML class diagrams and mapping rules for its implementation. We also include a case study using Twitter data and show implementation using three data stores: MongoDB, CouchDB, and ArangoDB.

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Authors and Affiliations

  1. Department of Computer Science and Informatics, University of Costa Rica, San José, Costa Rica

    David Chaves & Elzbieta Malinowski

Authors
  1. David Chaves
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  2. Elzbieta Malinowski
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Corresponding author

Correspondence to David Chaves .

Editor information

Editors and Affiliations

  1. University of Maribor, Maribor, Slovenia

    Tatjana Welzer

  2. Alpen Adria University Klagenfurt, Klagenfurt am Wörthersee, Austria

    Johann Eder

  3. University of Maribor, Maribor, Slovenia

    Vili Podgorelec

  4. Poznan University of Technology, Poznan, Poland

    Robert Wrembel

  5. University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  6. Free University of Bozen-Bolzano, Bolzano, Italy

    Johann Gamper

  7. Poznań University of Technology, Poznan, Poland

    Mikoƚaj Morzy

  8. University of Thessaly, Lamia, Greece

    Theodoros Tzouramanis

  9. Université Lumière Lyon 2, Lyon, France

    Jérôme Darmont

  10. University of Maribor, Maribor, Slovenia

    Aida Kamišalić Latifić

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Chaves, D., Malinowski, E. (2019). Document Data Modeling: A Conceptual Perspective. In: Welzer, T., et al. New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-030-30278-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-30278-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30277-1

  • Online ISBN: 978-3-030-30278-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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