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Authors: Amal Ait Brahim ; Rabah Tighilt Ferhat and Gilles Zurfluh

Affiliation: Toulouse Institute of Computer Science Research (IRIT), Toulouse Capitole University, Toulouse and France

Keyword(s): Schema Less, NoSQL, Model Extraction, Big Data, Model Driven Architecture.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Big Data have received a great deal of attention in recent years. Not only the amount of data is on a completely different level than before but also, we have different type of data including factors such as format, structure, and sources. This has definitely changed the tools we need to handle Big Data, giving rise to NoSQL systems. While NoSQL systems have proven their efficiency to handle Big Data, it’s still an unsolved problem how the extraction of a NoSQL database model could be done. This paper proposes an automatic approach for extracting a physical model starting from a document-oriented NoSQL database, including links between different collections. In order to demonstrate the practical applicability of our work, we have realized it in a tool using the Eclipse Modeling Framework environment.

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Paper citation in several formats:
Brahim, A.; Ferhat, R. and Zurfluh, G. (2019). Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 145-154. DOI: 10.5220/0008176201450154

@conference{kdir19,
author={Amal Ait Brahim. and Rabah Tighilt Ferhat. and Gilles Zurfluh.},
title={Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR},
year={2019},
pages={145-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008176201450154},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR
TI - Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB
SN - 978-989-758-382-7
IS - 2184-3228
AU - Brahim, A.
AU - Ferhat, R.
AU - Zurfluh, G.
PY - 2019
SP - 145
EP - 154
DO - 10.5220/0008176201450154
PB - SciTePress