TY  - CONF
ID  - publications29415
UR  - https://publications.ut-capitole.fr/id/eprint/29415/
A1  - Azabou, Maha
A1  - Khrouf, Kaïs
A1  - Feki, Jamel
A1  - Soulé-Dupuy, Chantal
A1  - Vallès-Parlangeau, Nathalie
Y1  - 2015///
N2  - 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.
PB  - IEEE
KW  - Diamond multidimensional model - OLAP - XML documents - Aaggregation operators
TI  - Diamond multidimensional model and aggregation operators for document OLAP
SP  - 363
AV  - public
EP  - 373
T2  - 9th IEEE International Conference on Research Challenges in Information Science (RCIS 2015)
ER  -