Abstract
The data warehouse design raises several problems such as the integration of heterogeneous data sources. In fact, the main difficulty is how interpret automatically the semantic of the heterogeneous and autonomous data. In addition, in information system design, the use of ontology becomes more and more promising; it contributes to avoid semantic and structural ambiguities. This research introduces the concept of decisional ontology as an assistance tool for the specification of analytical requirements. For this, we propose an ontology based method to standardize the multidimensional terminology extracted from several heterogeneous data sources.
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Nabli, A., Feki, J., Gargouri, F. (2009). An Ontology Based Method for Normalisation of Multidimensional Terminology. In: Damiani, E., Yetongnon, K., Chbeir, R., Dipanda, A. (eds) Advanced Internet Based Systems and Applications. SITIS 2006. Lecture Notes in Computer Science, vol 4879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01350-8_22
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DOI: https://doi.org/10.1007/978-3-642-01350-8_22
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