Article Abstract

	Title:	A Bayesian network to represent a data quality model
	Author:	Angelica Caro, Coral Calero, Houari A. Sahraoui, Mario Piattini
	Address:	Department of Computer Science and Information Technologies, University of Bio Bio, Chillan, Chile. ' Information Systems and Technologies Department, Alarcos Research Group, UCLM-INDRA Research and Development Institute, University of Castilla-La Mancha, Paseo de la Universidad, 4, Ciudad Real, Spain. ' Department d'Informatique et de Recherche Operationnelle, Universite de Montreal, CP 6128 succ, Centre Ville, Montreal, QC H3C 3J7, Canada. ' Information Systems and Technologies Department, Alarcos Research Group, UCLM-INDRA Research and Development Institute, University of Castilla-La Mancha, Paseo de la Universidad, 4, Ciudad Real, Spain
	Journal:	International Journal of Information Quality 2007 - Vol. 1, No.3  pp. 272 - 294
	Abstract:	Web portals provide data to many people where data consumers need to assess Data Quality (DQ). In our previous work a Portal Data Quality Model (PDQM) was developed. PDQM is focused on data consumers' perspective and is composed by 33 attributes appropriate for DQ evaluation. Now, we have organised these attributes into a generic and operational structure. Considering the uncertainty inherent in perception of quality, we decided to use a probabilistic approach, using Bayesian Networks (BNs). This paper, explains the definition of the BN structure that supports PDQM.
	Keywords:	data quality; information quality; web portals; Bayesian networks; data quality models; data quality evaluation.
	DOI:	10.1504/IJIQ.2007.016392
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