DWOBS: Data warehouse design from ontology-based sources

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Abstract

In the past decades, data warehouse (DW) applications were built from traditional data sources. The availability of domain ontologies creates the opportunity for sources to explicit their semantics and to exploit them in many applications, including in data warehousing. In this paper, we present DWOBS, a case tool for ontological-based DW design based on domain ontologies. It takes as inputs (i) a set of sources referencing OWL ontology and (ii) a set of decisional requirements formulated using Sparql syntax on that ontology. DWOBS gives a semantic multidimensional model of the DW to be designed. © 2011 Springer-Verlag.

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Khouri, S., & Bellatreche, L. (2011). DWOBS: Data warehouse design from ontology-based sources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6588 LNCS, pp. 438–441). https://doi.org/10.1007/978-3-642-20152-3_34

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