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Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution

Ravat, Franck and Song, Jiefu Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution. (2016) In: 6th International Conference Model and Data Engineering (MEDI 2016), 21 September 2016 - 23 September 2016 (Almeria, Spain).

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Official URL: http://dx.doi.org/10.1007/978-3-319-45547-1_20

Abstract

Linked Open Data (LOD) become one of the most important sources of information allowing enhancing business analyses based on warehoused data with external data. However, Data Warehouses (DWs) do not directly cooperate with LOD datasets due to the differences between data models. In this paper, we describe a conceptual multidimensional model, named Unified Cube, which is generic enough to include both warehoused data and LOD. Unified Cubes provide a comprehensive representation of useful data and, more importantly, support well-informed decisions by including multiple data sources in one analysis. To demonstrate the feasibility of our proposal, we present an implementation framework for building Unified Cubes based on DWs and LOD datasets.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 9893 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-319-45546-4 The original PDF is available at: http://link.springer.com/chapter/10.1007/978-3-319-45547-1_20
HAL Id:hal-01484964
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:10 Feb 2017 15:49

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