TY  - JOUR
ID  - publications26821
UR  - https://content.iospress.com/articles/fundamenta-informaticae/fi1727
IS  - n° 4
A1  - Ravat, Franck
A1  - Song, Jiefu
N2  - 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.
VL  - vol. 162
TI  - A Unified Approach to Multisource Data Analyses
AV  - none
EP  - 359
Y1  - 2018///
PB  - Panstwowe Wydawnictwo Naukowe - IOS Press
JF  - Fundamenta Informaticae
KW  - Data Warehouse
KW  - Linked Open Data
KW  - Conceptual Modeling
KW  - Multisource analyses
KW  - Experimental Assessments
SN  - 1875-8681
SP  - 311
ER  -