Description logics for conceptual data modeling
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OntoDB: it is time to embed your domain ontology in your database
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A methodology and tool for conceptual designing a data warehouse from ontology-based sources
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
An ontological pivot model to interoperate heterogeneous user requirements
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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.