Authors:
Angélica Caro
1
;
Coral Calero
2
;
Houari Sahraoui
3
;
Ghazwa Malak
4
and
Mario Piattini
2
Affiliations:
1
Universidad del Bio Bio, Chile
;
2
Universidad de Castilla-La Mancha, Spain
;
3
Universidad de Castilla-La Mancha, Paseo de la Universidad; Université de Montréal, Canada
;
4
Université de Montréal, Canada
Keyword(s):
Data Quality, Information Quality, Web Portals, Bayesian Network, Data Quality Model.
Related
Ontology
Subjects/Areas/Topics:
Data Engineering
;
Data Management and Quality
;
Information Quality
Abstract:
The technological advances and the use of the internet have favoured the appearance of a great diversity of web applications, among them Web portals. Through them, organizations develop their businesses in a highly competitive environment. One decisive factor for this competitiveness is the assurance of its data quality. In previous works, a data quality model for Web portals has been developed. The model is represented as a matrix that links the user expectations of data web quality to the portal functionalities. Into this matrix a set of 34 attributes where classified. However, the quality attributes on this model have not an operational structure, necessary to be used actual assessment. In this paper we present how we have structured these attributes by means of a probabilistic approach, using Bayesian Networks. The final objective is to use the Bayesian network obtained for evaluating the quality of a data portal (or a subset of its characteristics).