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Diamond multidimensional model and aggregation operators for document OLAP

Abstract : On-Line Analytical Processing (OLAP) has generated methodologies for the analysis of structured data. However, they are not appropriate to handle document content analysis. Because of the fast growing of this type of data, there is a need for new approaches abling to manage textual content of data. Generally, these data exist in XML format. In this context, we propose an approach of construction of our Diamond multidimensional model, which includes semantic dimension to better consider the semantics of textual data In addition, we propose new aggregation operators for textual data in OLAP environment.
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Submitted on : Tuesday, May 17, 2016 - 5:04:14 PM
Last modification on : Tuesday, June 23, 2020 - 12:30:04 PM
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  • HAL Id : hal-01316840, version 1
  • OATAO : 15441


Maha Azabou, Kaïs Khrouf, Jamel Feki, Chantal Soulé-Dupuy, Nathalie Vallés-Parlangeau. Diamond multidimensional model and aggregation operators for document OLAP. 9th IEEE International Conference on Research Challenges in Information Science (RCIS 2015), May 2015, Athens, Greece. pp. 363-373. ⟨hal-01316840⟩



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