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

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

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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)
Language: English
Date: 2016
Uncontrolled Keywords: Data warehouse - Linked open data - Unified conceptual model
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 26 Mar 2019 11:22
Last Modified: 26 Mar 2019 11:22
URI: http://publications.ut-capitole.fr/id/eprint/28797

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