Affiliations: IRIT - Universit é Toulouse I Capitole, 2 Rue du Doyen Gabriel Marty F-31042 Toulouse Cedex 09, FranceItaly, ravat@irit.fr, song@irit.fr
Correspondence:
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Address for correspondence: IRIT - Université Toulouse I Capitole, 2 Rue du Doyen Gabriel Marty F-31042 Toulouse Cedex 09, France
Abstract: Classically, Data Warehouses (DWs) supports business analyses on data coming from the inside of an organization. Nevertheless, Lined Open Data(LOD) might sensibly complete these business analyses by providing complementary perspectives during a decision-making process. In this paper, we propose a conceptual modeling solution, named Unified Cube, which blends together multidimensional data from DWs and LOD datasets without materializing them in a stationary repository. We complete the conceptual modeling with an implementation framework which manages the relations between a Unified Cube and multiple data sources at both schema and instance levels. We also propose an analysis processing process which queries different sources in a transparent way to decision-makers. The practical value of our proposal is illustrated through real-world data and benchmarks.
Keywords: Data Warehouse, Linked Open Data, Conceptual Modeling, Multisource analyses, Experimental Assessments
