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SETLBI: An integrated platform for semantic business intelligence

Author
Deb Nath, R.; Hose, K.; Bach, T.; Romero, O.; Bhattacharjee, A.
Type of activity
Presentation of work at congresses
Name of edition
29th International World Wide Web Conference
Date of publication
2020
Presentation's date
2020-04-22
Book of congress proceedings
The Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan
First page
167
Last page
171
Publisher
Association for Computing Machinery (ACM)
DOI
10.1145/3366424.3383533
Repository
http://hdl.handle.net/2117/188695 Open in new window
URL
https://dl.acm.org/doi/10.1145/3366424.3383533 Open in new window
Abstract
With the growing popularity of Semantic Web technologies, more and more organizations natively manage data using Semantic Web standards, in particular RDF. This development gives rise to new requirements for Business Intelligence tools to enable analyses in the style of On-Line Analytical Processing (OLAP) over RDF data. In this demonstration, we therefore present the SETLBI (Semantic Extract-Transform-Load and Business Intelligence) integration platform that brings together the Semantic Web and...
Citation
Deb Nath, R. [et al.]. SETLBI: An integrated platform for semantic business intelligence. A: International World Wide Web Conference. "The Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan". New York: Association for Computing Machinery (ACM), 2020, p. 167-171.
Keywords
ETL, Semantic ETL, Semantic data integration, Semantic data warehouse
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

  • Deb Nath, Rudra Pratap  (author and speaker )
  • Hose, Katja  (author and speaker )
  • Bach Pedersen, Torben  (author and speaker )
  • Romero Moral, Oscar  (author and speaker )
  • Bhattacharjee, Amrit  (author and speaker )

Attachments