SETLBI: An Integrated Platform for Semantic Business Intelligence

Rudra Pratap Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero, Amrit Bhattacharjee

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


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.
Original languageEnglish
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Number of pages5
Place of PublicationTaipei
PublisherAssociation for Computing Machinery
Publication date24 Apr 2020
ISBN (Electronic)9781450370240
Publication statusPublished - 24 Apr 2020
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China
Duration: 20 Apr 202024 Apr 2020


Conference29th International World Wide Web Conference, WWW 2020
CountryTaiwan, Province of China
SponsorChunghwa Telecom, et al., Microsoft, Quanta Computer, Taiwan Mobile, ZOOM

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