A framework for quality evaluation in data integration systems

被引：0

作者：

Akoka, J. ^{[1
]}

Berti-Equille, L. ^{[3
]}

Boucelma, O. ^{[4
]}

Bouzeghoub, M. ^{[5
]}

Comyn-Wattiau, I. ^{[1
,2
]}

Cosquer, M. ^{[7
]}

Goasdoue-Thion, V. ^{[6
]}

Kedad, Z. ^{[5
]}

Nugier, S. ^{[6
]}

Peralta, V. ^{[5
]}

Sisaid-Cherfi, S. ^{[1
]}

机构：

[1] CNAM CEDRIC, Paris, France

[2] ESSEC, Paris, France

[3] Univ Rennes 1, IRISA, Rennes, France

[4] Univ Aix Marseille, LSIS, Aix En Provence, France

[5] Univ Versailles, PRISM, Versailles, France

[6] EDF R&D, Clamart, France

[7] Inst Curie, Paris, France

来源：

ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION | 2007年

关键词：

data quality; quality meta-model; data integration systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：170 / +

页数：2

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