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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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References

  1. Vera, H., Boaventura, W., Holanda, M., Guimarâes, V., Hondo, F.: Data modeling for NoSQL document-oriented databases. In: 2nd Annual International Symposium on Information Management and Big Data, Cusco (2015)

    Google Scholar 

  2. DB-Engines: DB-Engines Ranking category, May 2019. https://db-engines.com/en/ranking_categories. Accessed 21 May 2019

  3. Imam, A., Basri, S., Ahmad, R., Aziz, N., González-Aparicio, M.: New cardinality notations and styles for modeling NoSQL document-store databases. In: IEEE Region 10 Conference (TENCON), Malaysia (2017)

    Google Scholar 

  4. Abdelhedi, F., Brahim, A., Atigui, F., Zurfluh, G.: MDA-based approach for NoSQL databases modelling. In: International Conference on Big Data Analytics and Knowledge Discovery, Lyon (2017)

    Chapter  Google Scholar 

  5. Bugiotti, F., Cabibbo, L., Atzeni, P., Torlone, R.: Database design for NoSQL systems. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds.) ER 2014. LNCS, vol. 8824, pp. 223–231. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-12206-9_18

    Chapter  Google Scholar 

  6. Poveda, J.: Propuesta de Notación Gráfica para el Modelo Orientado a Documentos de MongoDB. Universidad Distrital Francisco José de Caldas, Bogotá (2013)

    Google Scholar 

  7. Zola, W.: 6 Rules of Thumb for MongoDB Schema Design, 29 May 2014. https://bit.ly/2FUb3cp. Accessed 21 May 2019

  8. Braun, G., Gimenez, C., Fillottrani, P., Cecchi, L.: Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering in Simposio Argentino de Ontologías y sus Aplicaciones, Córdoba (2017)

    Google Scholar 

  9. Hernández, A., Feliciano, S., Sevilla, D., García-Molina, J.: Exploring the visualization of schemas for aggregate-oriented NoSQL databases. In: Proceedings of the ER Forum 2017 and the ER 2017 Demo track, Valencia (2017)

    Google Scholar 

  10. Reis, D.G., Gasparoni, F.S., Holanda, M., Victorino, M., Ladeira, M., Ribeiro, E.O.: An evaluation of data model for NoSQL document-based databases. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST’18 2018. AISC, vol. 745, pp. 616–625. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77703-0_61

    Chapter  Google Scholar 

  11. Calvo, K., Durán, J., Quirós, E., Malinowski, E.: MongoDB: alternativas de implementar y consultar documentos. In: IX Congreso Internacional de Computación y Telecomunicaciones, COMTEL, Lima (2017)

    Google Scholar 

  12. Gulden, J., Reijers, H.: Toward advanced visualization techniques for conceptual modeling. In: Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering, Stockholm, pp. 33–40 (2015)

    Google Scholar 

  13. Lima, C., Santos, R.: A workload-driven logical design approach for NoSQL document databases. In: 17th International Conference on Information Integration and Web-based Applications & Services, Brussels (2015)

    Google Scholar 

  14. Dietrich, S., Urban, S.: An Advanced Course in Database Systems: Beyond Relational Databases. Prentice Hall, New Jersey (2004)

    Google Scholar 

  15. Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14, 131–164 (2009)

    Article  Google Scholar 

  16. Scott, J.: Archive Team: The Twitter Stream Grab, 6 December 2012. https://archive.org/details/twitterstream. Accessed 21 May 2019

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Author information

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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