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- CXT-Cube: Contextual Text Cube Model and Aggregation Operator for Text OLAP doi link

Auteur(s): Oukid Lamia, Asfari O.(Corresp.), Bentayeb F., Benblidia Nadjia, Boussaid O.

Conference: ACM Sixteenth International Workshop On Data Warehousing and OLAP (DOLAP 2013) (New York, US, 2013-10-28)
Actes de conférence: Proceedings and ACM DOLAP 2013, vol. p.27-32 (2013)


DOI: 10.1145/2513190.2513201
Résumé:

Traditional data warehousing technologies and On-Line Analytical Processing (OLAP) are unable to analyze textual data. Moreover, as OLAP queries of a decision-maker are generally related to a context, contextual information must be taken into account during the exploitation of data warehouses. Thus, we propose a contextual text cube model denoted CXT-Cube which considers several contextual factors during the OLAP analysis in order to better consider the contextual information associated with textual data. CXT-Cube is characterized by several contextual dimensions, each one related to a contextual factor. In addition, we extend our aggregation OLAP operator for textual data ORank (OLAP-Rank) to consider all the contextual factors defined in our CXT-Cube model. To validate our model, we perform an experimental study and the preliminary results show the importance of our approach for integrating textual data into a data warehouse and improving the decision-making.