MDQM: Mediation Data Quality Model Aligned Data Quality Model for Mediation Systems

Loubna Mimouni, Ahmed Zellou, Ali Idri

Abstract

We are in age where data is provided from multiple heterogeneous and distributed sources hence the usefulness of data integration systems (DIS). But given that the user is obliged to filter a large volume of data to achieve the most satisfactory to his request and his information need, we can say that the approach became more qualitative than quantitative. For this purpose, the main goal of this paper is to introduce the data quality aspect concerning data retrieved from Mediation systems which is the virtual approach of data integration. The paper will be finalized by establishing an attempt of a model of data quality criterions classification in relation to Mediation system (MDQM).

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Paper Citation


in Harvard Style

Mimouni L., Zellou A. and Idri A. (2018). MDQM: Mediation Data Quality Model Aligned Data Quality Model for Mediation Systems.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 319-326. DOI: 10.5220/0006958403190326


in Bibtex Style

@conference{keod18,
author={Loubna Mimouni and Ahmed Zellou and Ali Idri},
title={MDQM: Mediation Data Quality Model Aligned Data Quality Model for Mediation Systems},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={319-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006958403190326},
isbn={978-989-758-330-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - MDQM: Mediation Data Quality Model Aligned Data Quality Model for Mediation Systems
SN - 978-989-758-330-8
AU - Mimouni L.
AU - Zellou A.
AU - Idri A.
PY - 2018
SP - 319
EP - 326
DO - 10.5220/0006958403190326