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A Conceptual Modeling Personalization Framework for OLAP

A Conceptual Modeling Personalization Framework for OLAP

Irene Garrigós, Jesús Pardillo, Jose-Norberto Mazón, Jose Zubcoff, Juan Trujillo, Rafael Romero
Copyright: © 2012 |Volume: 23 |Issue: 4 |Pages: 16
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781466614963|DOI: 10.4018/jdm.2012100101
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MLA

Garrigós, Irene, et al. "A Conceptual Modeling Personalization Framework for OLAP." JDM vol.23, no.4 2012: pp.1-16. http://doi.org/10.4018/jdm.2012100101

APA

Garrigós, I., Pardillo, J., Mazón, J., Zubcoff, J., Trujillo, J., & Romero, R. (2012). A Conceptual Modeling Personalization Framework for OLAP. Journal of Database Management (JDM), 23(4), 1-16. http://doi.org/10.4018/jdm.2012100101

Chicago

Garrigós, Irene, et al. "A Conceptual Modeling Personalization Framework for OLAP," Journal of Database Management (JDM) 23, no.4: 1-16. http://doi.org/10.4018/jdm.2012100101

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Abstract

OLAP (On-line Analytical Processing) technologies rely on multidimensional models to provide decision makers with appropriate structures allowing them to intuitively analyze data. However, these multidimensional models may be potentially large, thus becoming too complex to be understood at a glance. Current approaches for OLAP design are focused on providing analysts with a single multidimensional schema derived from their previously stated information requirements, but this is not sufficient to lighten the complexity of the decision making process. To overcome this drawback, the authors propose personalizing multidimensional models for OLAP technologies according to the continuously changing user characteristics, context, requirements and behavior. In this paper, they present a new approach for personalizing OLAP systems at the conceptual level based on the underlying multidimensional model, a user model and a set of personalization rules. Transformations are defined by means of a model-driven strategy to assist in the process of obtaining the corresponding personalized OLAP schemas from these models.

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