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Interactive multidimensional modeling of linked data for exploratory OLAP

Author
Gallinucci, E.; Golfarelli, M.; Rizzi, S.; Abello, A.; Romero, O.
Type of activity
Journal article
Journal
Information systems
Date of publication
2018-09
Volume
77
First page
86
Last page
104
DOI
https://doi.org/10.1016/j.is.2018.06.004 Open in new window
Repository
http://hdl.handle.net/2117/119270 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0306437916305956 Open in new window
Abstract
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information wealth of LOD. While some techniques to create, publish, and query RDF cubes are already available, little has been said about how to contextualize these cubes with situational data in an on-demand fashion. In this paper we describe an approach, called iMOLD, that enables non-technical users to enrich an RDF cube with multidimensional knowledge by discovering aggregation hierarchies in LOD. This is ...
Citation
Gallinucci, E., Golfarelli, M., Rizzi, S., Abelló, A., Romero, O. Interactive multidimensional modeling of linked data for exploratory OLAP. "Information systems", Setembre 2018, vol. 77, p. 86-104.
Keywords
Exploratory OLAP, Linked data, Multidimensional modeling
Group of research
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants