A FRAMEWORK FOR QUALITY EVALUATION IN DATA INTEGRATION SYSTEMS

J. Akoka; L. Berti-Équille; O. Boucelma; M. Bouzeghoub; I. Comyn-Wattiau; M. Cosquer; V. Goasdoué-Thion; Z. Kedad; S. Nugier; V. Peralta; S. Sisaid-Cherfi

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Paper

A FRAMEWORK FOR QUALITY EVALUATION IN DATA INTEGRATION SYSTEMS

Topics: Information Engineering Methodologies; Modeling Concepts and Information Integration Tools; Systems Engineering Methodologies

In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, 170-175, 2007 , Funchal, Madeira, Portugal

Authors: J. Akoka ¹ ; L. Berti-Équille ² ; O. Boucelma ³ ; M. Bouzeghoub ⁴ ; I. Comyn-Wattiau ⁵ ; M. Cosquer ⁶ ; V. Goasdoué-Thion ⁷ ; Z. Kedad ⁴ ; S. Nugier ⁷ ; V. Peralta ⁴ and S. Sisaid-Cherfi ¹

Affiliations: ¹ CNAM-CEDRIC, France ; ² IRISA, Université de Rennes 1, France ; ³ LSIS, Aix-Marseille Université, France ; ⁴ PRISM, Université de Versailles Saint-Quentin, France ; ⁵ CNAM-CEDRIC; ESSEC, France ; ⁶ Institut Curie, France ; ⁷ EDF- R&D, France

Keyword(s): Data Quality, Quality Meta-model, Data Integration Systems.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Engineering Methodologies ; Information Systems Analysis and Specification ; Methodologies, Processes and Platforms ; Model-Driven Software Development ; Modeling Concepts and Information Integration Tools ; Software Engineering ; Systems Engineering

Abstract: Ensuring and maximizing the quality and integrity of information is a crucial process for today enterprise information systems (EIS). It requires a clear understanding of the interdependencies between the dimensions characterizing quality of data (QoD), quality of conceptual data model (QoM) of the database, keystone of the EIS, and quality of data management and integration processes (QoP). The improvement of one quality dimension (such as data accuracy or model expressiveness) may have negative consequences on other quality dimensions (e.g., freshness or completeness of data). In this paper we briefly present a framework, called QUADRIS, relevant for adopting a quality improvement strategy on one or many dimensions of QoD or QoM with considering the collateral effects on the other interdependent quality dimensions. We also present the scenarios of our ongoing validations on a CRM EIS.

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Paper citation in several formats:

Akoka, J.; Berti-Équille, L.; Boucelma, O.; Bouzeghoub, M.; Comyn-Wattiau, I.; Cosquer, M.; Goasdoué-Thion, V.; Kedad, Z.; Nugier, S.; Peralta, V. and Sisaid-Cherfi, S. (2007). A FRAMEWORK FOR QUALITY EVALUATION IN DATA INTEGRATION SYSTEMS. In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-972-8865-90-0; ISSN 2184-4992, SciTePress, pages 170-175. DOI: 10.5220/0002378301700175

@conference{iceis07,
author={J. Akoka. and L. Berti{-}Équille. and O. Boucelma. and M. Bouzeghoub. and I. Comyn{-}Wattiau. and M. Cosquer. and V. Goasdoué{-}Thion. and Z. Kedad. and S. Nugier. and V. Peralta. and S. Sisaid{-}Cherfi.},
title={A FRAMEWORK FOR QUALITY EVALUATION IN DATA INTEGRATION SYSTEMS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2007},
pages={170-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002378301700175},
isbn={978-972-8865-90-0},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A FRAMEWORK FOR QUALITY EVALUATION IN DATA INTEGRATION SYSTEMS
SN - 978-972-8865-90-0
IS - 2184-4992
AU - Akoka, J.
AU - Berti-Équille, L.
AU - Boucelma, O.
AU - Bouzeghoub, M.
AU - Comyn-Wattiau, I.
AU - Cosquer, M.
AU - Goasdoué-Thion, V.
AU - Kedad, Z.
AU - Nugier, S.
AU - Peralta, V.
AU - Sisaid-Cherfi, S.
PY - 2007
SP - 170
EP - 175
DO - 10.5220/0002378301700175
PB - SciTePress