OLAPing Reflexive Multidimensional Fact

Maha Ben Kraiem (1) , Jamel Feki (1) , Ahmed Alghamdi (2) , Franck Ravat (3, 4)

1 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory
2 University of Jeddah
3 IRIT-SIG - Systèmes d’Informations Généralisées
4 UT Capitole - Université Toulouse Capitole

The multidimensional data model and implementations of social networks come with a set of specific constraints, such as missing data, reflexive relationship on fact instance. However, the conventional OLAP operators and existing models do not provide solutions for handling those specificities. Therefore, further efforts should be invested to extend these operators to take into consideration the specificities of multidimensional modeling of tweets and their manipulation. Face to this issue, we propose, in this paper, two new OLAP operators that enhance existing solutions for OLAP analyses involving a reflexive relationship on the fact instances. For each OLAP operator, we suggest a user-oriented definition as an algebraic formalization, along with an implementation algorithmic.

Mots clés: OLAP

Domaines: Recherche d'information [cs.IR]

Maha Ben Kraiem, Jamel Feki, Ahmed Alghamdi, Franck Ravat. OLAPing Reflexive Multidimensional Fact. 12th Conference on Advances of Decisional Systems (ADS 2018), May 2018, Marrakech, Morocco. pp.466-479. ⟨hal-02283156⟩