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Extraction process of conceptual model from a document-oriented NoSQL database

Ait Brahim, Amal and Tighilt Ferhat, Rabah and Zurfluh, Gilles Extraction process of conceptual model from a document-oriented NoSQL database. (2019) In: 11th International Conference on Knowledge and Systems Engineering (KSE 2019), 24 October 2019 - 26 October 2019 (Da Nang, Viet Nam).

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Official URL: https://doi.org/10.1109/KSE.2019.8919400

Abstract

NoSQL systems are used to manage massive databases that verify 3V: Volume, Variety and Velocity. Generally, these systems are known by the characteristic "schema less" which means that we can create a database without defining the data schema beforehand. This property offers more flexibility and speed by allowing the evolution of the data model during the exploitation of the base. However, to formulate queries on the database, the user needs a precise knowledge of data model. In this article, we propose a process for the automatic extraction of the conceptual model of a document-oriented NoSQL database. To do this, we use the Model Driven Architecture (MDA) architecture that provides a formal framework for automatic model transformation. From a NoSQL database, we propose a set of transformation rules with QVT to generate the conceptual model in the form of a UML class diagram. An experimentation of the extraction process was carried out on an application in the medical field.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of KSE 2019. ISSN: 2164-2508 Electronic ISBN: 978-1-7281-3003-3 The original PDF of the article can be found at: https://ieeexplore.ieee.org/abstract/document/8919400 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02950717
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:18 Sep 2020 11:14

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