Abstract
PDQM is a web portal data quality model. This model is centered on the data consumer perspective and for its construction we have developed a process which is divided into two parts. In the first part we defined the theoretical version of PDQM and as a result a set of 33 data quality attributes that can be used to evaluate the data quality in portals were identified. The second part consisted of the conversion of PDQM into an operational model. For this, we adopted a probabilistic approach by using Bayesian networks. In this paper, we show the development of this second part, which was divided into four phases: (1) Definition of a criterion to organize the PDQM’s attributes, (2) Generation of a Bayesian network to represent PDQM, (3) Definition of measures and the node probability tables for the Bayesian network and (4) The validation of PDQM.
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Caro, A., Calero, C., Piattini, M. (2007). Development Process of the Operational Version of PDQM. In: Benatallah, B., Casati, F., Georgakopoulos, D., Bartolini, C., Sadiq, W., Godart, C. (eds) Web Information Systems Engineering – WISE 2007. WISE 2007. Lecture Notes in Computer Science, vol 4831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76993-4_36
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DOI: https://doi.org/10.1007/978-3-540-76993-4_36
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