CiDHouse: Contextual SemantIc Data WareHouses

  • Selma Khouri
  • Lama El Saraj
  • Ladjel Bellatreche
  • Bernard Espinasse
  • Nabila Berkani
  • Sophie Rodier
  • Thérèse Libourel
Conference paper

DOI: 10.1007/978-3-642-40173-2_39

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8056)
Cite this paper as:
Khouri S. et al. (2013) CiDHouse: Contextual SemantIc Data WareHouses. In: Decker H., Lhotská L., Link S., Basl J., Tjoa A.M. (eds) Database and Expert Systems Applications. DEXA 2013. Lecture Notes in Computer Science, vol 8056. Springer, Berlin, Heidelberg

Abstract

Dealing with contextualized data is a key challenge in data warehouses (\(\mathcal{D}\mathcal{W}\)). Nowadays, \(\mathcal{D}\mathcal{W}\) systems are often monocontext. However, in real life applications, \(\mathcal{D}\mathcal{W}\) indicators are shared by many users with different profiles. In this paper, we propose an ontology-based approach for designing multi-contextual \(\mathcal{D}\mathcal{W}\). An ontology formalism incorporating the contextualization concepts is given. We propose to consider the contextualization at the conceptual level. We validate our proposal using a real case study from the medical domain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Selma Khouri
    • 1
    • 3
  • Lama El Saraj
    • 2
    • 4
  • Ladjel Bellatreche
    • 3
  • Bernard Espinasse
    • 2
  • Nabila Berkani
    • 1
  • Sophie Rodier
    • 4
  • Thérèse Libourel
    • 5
  1. 1.ESIAlgiersAlgeria
  2. 2.LSISMarseilleFrance
  3. 3.LIAS/ISAE-ENSMAFuturoscopeFrance
  4. 4.Assistance publique des Hôpitaux de MarseilleFrance
  5. 5.LIRMMMontpellierFrance

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