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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 Business Intelligence technologies. SETLBI covers all phases of integration:
target definition, source to target mappings generation, semantic and non-semantic source extraction, data transformation, and target population and update. It facilitates Data Warehouse designers to build a semantic Data Warehouse, either from scratch or by defining a multi-dimensional view over existing RDF data sources, and further enables OLAP-style analyses.
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 Business Intelligence technologies. SETLBI covers all phases of integration:
target definition, source to target mappings generation, semantic and non-semantic source extraction, data transformation, and target population and update. It facilitates Data Warehouse designers to build a semantic Data Warehouse, either from scratch or by defining a multi-dimensional view over existing RDF data sources, and further enables OLAP-style analyses.
Original language | English |
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Title of host publication | The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 |
Number of pages | 5 |
Volume | 2020 |
Place of Publication | Taipei |
Publisher | Association for Computing Machinery |
Publication date | 24 Apr 2020 |
Pages | 167-171 |
ISBN (Electronic) | 9781450370240 |
DOIs | |
Publication status | Published - 24 Apr 2020 |
Event | 29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020 |
Conference
Conference | 29th International World Wide Web Conference, WWW 2020 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 20/04/2020 → 24/04/2020 |
Sponsor | Chunghwa Telecom, et al., Microsoft, Quanta Computer, Taiwan Mobile, ZOOM |
Fingerprint
Dive into the research topics of 'SETLBI: An Integrated Platform for Semantic Business Intelligence'. Together they form a unique fingerprint.Projects
- 2 Active
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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Research output
- 6 Citations
- 1 PhD thesis
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Aspects of Semantic ETL
Nath, R. P., 2020, Aalborg Universitetsforlag. 221 p.Research output: PhD thesis
Open AccessFile