Abstract
Data warehouse dimension hierarchies are of paramount importance in OLAP (On-Line Analytical Processing) tools to support the decision-making process, since they allow the analysis of data at different levels of detail (i.e. levels of aggregation). This is why it is crucial to capture adequate hierarchies in the requirement analysis stage. However, operational sources may not be able to supply enough data to construct every level of these hierarchies. In this paper, we propose the application of semantic relations among WordNet concepts to enrich hierarchies by adding the required levels of aggregation. Decision makers will thus be able to achieve their information needs for analysis.
Work supported by the projects: TIN2004-00779 from the Spanish Government, GV05/220 from the Valencia Government, and PBC-05-012-2 from the Castilla-La Mancha Government. Jose-Norberto Mazón is funded by the Spanish Ministry of Science and Education under a FPU grant (AP2005-1360).
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Mazón, JN., Trujillo, J. (2006). Enriching Data Warehouse Dimension Hierarchies by Using Semantic Relations. In: Bell, D.A., Hong, J. (eds) Flexible and Efficient Information Handling. BNCOD 2006. Lecture Notes in Computer Science, vol 4042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788911_30
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DOI: https://doi.org/10.1007/11788911_30
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