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CiDHouse: Contextual SemantIc Data WareHouses

Author

Listed:
  • Selma Khouri
  • Lama El Saraj
  • Ladjel Bellatreche
  • Bernard Espinasse
  • Nabila Berkani
  • Sophie Rodier

    (CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA [2017-2020] - Université Clermont Auvergne [2017-2020], LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Thérèse Libourel Rouge

    (LIRMM/DOC - Données Objets Composants pour les systèmes complexes - LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique)

Abstract

Dealing with contextualized data is a key challenge in data warehouses ($DW$). Nowadays, $DW$ systems are often monocontext. However, in real life applications, $DW$ indicators are shared by many users with different profiles. In this paper, we propose an ontology-based approach for designing multi-contextual $DW$. 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.

Suggested Citation

  • Selma Khouri & Lama El Saraj & Ladjel Bellatreche & Bernard Espinasse & Nabila Berkani & Sophie Rodier & Thérèse Libourel Rouge, 2013. "CiDHouse: Contextual SemantIc Data WareHouses," Post-Print hal-03032538, HAL.
  • Handle: RePEc:hal:journl:hal-03032538
    DOI: 10.1007/978-3-642-40173-2_39
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