[ABB07] A Framework for Quality Evaluation in Data Integration Systems

Conférence Internationale avec comité de lecture : ICEIS'07 10th Int. Conf. on Enterprise Information Systems, January 2007, pp.170-175,

Mots clés: Quality, Data Quality, Quality Meta-model, Data Integration Systems

Résumé: 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.

Commentaires: note

Equipe: isid
Collaboration: IRD , ,


@inproceedings {
title="{A Framework for Quality Evaluation in Data Integration Systems}",
author=" J. Akoka and L. Berti-Equille and O. Boucelma and M. Bouzeghoub and I. Comyn-Wattiau and M. Cosquer and V. Goasdoué and Z. Kedad and S. Nugier and V. Peralta and S. Si-Said Cherfi ",
booktitle="{ICEIS'07 10th Int. Conf. on Enterprise Information Systems}",