SETLBI: An Integrated Platform for Semantic Business Intelligence

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

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Abstrakt

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.
OriginalsprogEngelsk
TitelThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Antal sider5
Vol/bind2020
UdgivelsesstedTaipei
ForlagAssociation for Computing Machinery
Publikationsdato24 apr. 2020
Sider167-171
ISBN (Elektronisk)9781450370240
DOI
StatusUdgivet - 24 apr. 2020
Begivenhed29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan
Varighed: 20 apr. 202024 apr. 2020

Konference

Konference29th International World Wide Web Conference, WWW 2020
LandTaiwan
ByTaipei
Periode20/04/202024/04/2020
SponsorChunghwa Telecom, et al., Microsoft, Quanta Computer, Taiwan Mobile, ZOOM

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