Ravat, Franck and Song, Jiefu (2018) A Unified Approach to Multisource Data Analyses. Fundamenta Informaticae, vol. 162 (n° 4). pp. 311-359.

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Identification Number : 10.3233/FI-2018-1727


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 pro-cess. 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 frame-work 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.

Item Type: Article
Language: English
Date: 2018
Refereed: Yes
Uncontrolled Keywords: Data Warehouse, Linked Open Data, Conceptual Modeling, Multisource analyses, Experimental Assessments
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 07 Dec 2018 14:37
Last Modified: 02 Apr 2021 15:58
OAI Identifier: BibTeX_Ra2018.7
URI: https://publications.ut-capitole.fr/id/eprint/26821
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