JUCS - Journal of Universal Computer Science 16(1): 22-36, doi: 10.3217/jucs-016-01-0022
Integration of Similar Evolving Data Sources for Supporting Decision Making Tasks
Alberto Salguero‡, Francisco Araque‡‡ University of Granada, Andalucía, Spain
Corresponding author: Alberto Salguero ( agsh@ugr.es ) © Alberto Salguero, Francisco Araque. This article is freely available under the J.UCS Open Content License. Citation:
Salguero A, Araque F (2010) Integration of Similar Evolving Data Sources for Supporting Decision Making Tasks. JUCS - Journal of Universal Computer Science 16(1): 22-36. https://doi.org/10.3217/jucs-016-01-0022 |  |
Abstract
Information Systems usually rely on external and independent data sources. When integrating the data to build the integrated repository it is possible to make use of the temporal characteristics of the data sources to improve the whole integration process and the quality of the integrated data, which support the organizations decision-making tasks. In this work the usage of an Ordered Weighted Averaging-based operator is presented as the best option when the data sources refer to similar facts but the data on each data source is expressed with different temporal characteristics. This is a common issue in Information Systems development.
Keywords
data integration, information system, temporal, OWA