relation: https://publications.ut-capitole.fr/id/eprint/28574/
title: Enabling OLAP Analyses on the Web of Data
creator: Ravat, Franck
creator: Song, Jiefu
subject: H- INFORMATIQUE
description: This paper describes a business-oriented analysis environment facilitating analyses of coherent data from Data Warehouses (DWs) and Linked Open Data (LOD) datasets. Specifically, we present a multidimensional modeling solution, named Unified Cube, which provides a single, comprehensive representation of data from multiple sources. Unified Cubes include both concepts close to business terms and user-friendly graphical notations. An implementation framework is proposed to enable unified analyses of warehoused data and LOD. The feasibility of the proposed concepts is illustrated with examples based on real-world datasets.
publisher: IEEE Computer Society - Conference Publishing Services
date: 2017
type: Conference or Workshop Item
type: NonPeerReviewed
format: text
language: fr
identifier: https://publications.ut-capitole.fr/id/eprint/28574/1/assistant_11418056_4153008210_0.pdf
identifier:   Ravat, Franck <https://www.idref.fr/127663711> and Song, Jiefu  (2017) Enabling OLAP Analyses on the Web of Data.   In: 19th IEEE International Conference on Digital Information Management (ICDIM 2016).     
language: en