University of Bologna (UNIBO)
Enrico Gallinucci, Matteo Golfarelli, Stefano RizziDescription
In the context of self-service BI and exploratory OLAP, coupling the information wealth of linked data with the precision and detail of corporate data can greatly improve the effectiveness of the decision-making process. The aim of this research collaboration is to enable data scientists to extend and complete the hierarchies in their corporate multidimensional cubes through a user-guided process that explores selected linked data and derives hierarchies from them.
Related publications
2018 Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi, Alberto Abelló, Oscar Romero: Interactive multidimensional modeling of linked data for exploratory OLAP. Inf. Syst. 2018 2016 Stefano Rizzi, Enrico Gallinucci, Matteo Golfarelli, Alberto Abelló, Oscar Romero: Towards Exploratory OLAP on Linked Data. SEBD 2016 2006 Stefano Rizzi, Alberto Abelló, Jens Lechtenbörger, Juan Trujillo: Research in data warehouse modeling and design: dead or alive? DOLAP 2006