Abstract
The Internet has become in a place for the exchange and publication of data. Nowadays, Web portals serve as an important means to access information. In this context, the concepts of quality in general and of data quality in particular are highly relevant. The objective of this paper is to carry out a systematic literature review (SLR) in order to discover the state-of-the art in data quality for Web portals, and to evaluate the evolution of data quality since 2006, when another SLR was carried out, and in which a PDQM (Portal Data Quality Model) was defined. As a result, 39 attributes have been considered relevant for the assessment of data quality in Web portals. © 2009 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Moraga, C., Moraga, M. Á., Calero, C., & Caro, Á. (2009). Towards the discovery of data quality attributes for web portals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5648 LNCS, pp. 251–259). https://doi.org/10.1007/978-3-642-02818-2_20
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
