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Analytical metadata modeling for next generation BI systems

Author
Varga, J.; Romero, O.; Bach, T.; Thomsen, C.
Type of activity
Journal article
Journal
Journal of systems and software
Date of publication
2018-10
Volume
144
First page
240
Last page
254
DOI
https://doi.org/10.1016/j.jss.2018.06.039 Open in new window
Project funding
Modelització i Processament de la Informació (MPI)
Repository
http://hdl.handle.net/2117/124373 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0164121218301274 Open in new window
Abstract
Business Intelligence (BI) systems are extensively used as in-house solutions to support decision-making in organizations. Next generation BI 2.0 systems claim for expanding the use of BI solutions to external data sources and assisting the user in conducting data analysis. In this context, the Analytical Metadata (AM) framework defines the metadata artifacts (e.g., schema and queries) that are exploited for user assistance purposes. As such artifacts are typically handled in ad-hoc and system s...
Citation
Varga, J., Romero, O., Bach, T., Thomsen, C. Analytical metadata modeling for next generation BI systems. "Journal of systems and software", Octubre 2018, vol. 144, p. 240-254.
Keywords
Business intelligence, Ontological metamodeling
Group of research
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants