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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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. https://doi.org/10.1007/978-3-642-40173-2_39
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DOI: https://doi.org/10.1007/978-3-642-40173-2_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40172-5
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