CiDHouse: Contextual SemantIc Data WareHouses

Selma Khouri, Lama El Saraj, Ladjel Bellatreche (), Bernard Espinasse, Nabila Berkani, Sophie Rodier () and Thérèse Libourel Rouge ()
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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

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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.

Date: 2013-08-26
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Published in DEXA 2013 - 24th International Conference on Database and Expert Systems Applications, Aug 2013, Prague, Czech Republic. pp.458-465, ⟨10.1007/978-3-642-40173-2_39⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03032538

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

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