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Authors: Fatma Abdelhedi 1 ; Amal Ait Brahim 2 ; Faten Atigui 3 and Gilles Zurfluh 2

Affiliations: 1 CBI2 – TRIMANE, France ; 2 Toulouse Institute of Computer Science Research (IRIT) and Toulouse Capitole University, France ; 3 CEDRIC-CNAM, France

ISBN: 978-989-758-203-5

Keyword(s): Big Data, NoSQL, Knowledge, MDA, QVT Transformation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: In 2014, Big Data has passed the top of the Gartner Hype Cycle, proving that Big Data technologies and application start to be mature, becoming more realistic about how Big Data can be useful for organizations. NoSQL data stores are becoming widely used to handle Big Data; these databases operate on schema-less data model enabling users to incorporate new data into their applications without using a predefined schema. But, there is still a need for a conceptual model to define how data will be structured in the database. In this paper, we show how to store Big Data within NoSQL systems. For this, we use the Model Driven Architecture (MDA) that provides a framework for models automatic transformation. Starting from a conceptual model that describes a set of complex objects, we propose transformation rules formalized with QVT to generate a column-oriented NoSQL model. To ensure efficient automatic transformation, we use a logical model that limits the impacts related to technic al aspects of column-oriented platforms. We provide experiments of our approach using a case study example taken from the health care domain. The results of our experiments show that the proposed logical model can be effectively implemented in different columnoriented systems independently of their specific technical details. (More)

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Paper citation in several formats:
Abdelhedi F., Ait Brahim A., Atigui F. and Zurfluh G. (2016). Big Data and Knowledge Management: How to Implement Conceptual Models in NoSQL Systems?.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016) ISBN 978-989-758-203-5, pages 235-240. DOI: 10.5220/0006082302350240

@conference{kmis16,
author={Fatma Abdelhedi and Amal Ait Brahim and Faten Atigui and Gilles Zurfluh},
title={Big Data and Knowledge Management: How to Implement Conceptual Models in NoSQL Systems?},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)},
year={2016},
pages={235-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006082302350240},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)
TI - Big Data and Knowledge Management: How to Implement Conceptual Models in NoSQL Systems?
SN - 978-989-758-203-5
AU - Abdelhedi F.
AU - Ait Brahim A.
AU - Atigui F.
AU - Zurfluh G.
PY - 2016
SP - 235
EP - 240
DO - 10.5220/0006082302350240

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