TY - GEN
T1 - SETLBI
T2 - 29th International World Wide Web Conference, WWW 2020
AU - Nath, Rudra Pratap
AU - Hose, Katja
AU - Pedersen, Torben Bach
AU - Romero, Oscar
AU - Bhattacharjee, Amrit
PY - 2020/4/24
Y1 - 2020/4/24
N2 - 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 newrequirements 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.
AB - 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 newrequirements 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.
UR - http://www.scopus.com/inward/record.url?scp=85091708745&partnerID=8YFLogxK
U2 - 10.1145/3366424.3383533
DO - 10.1145/3366424.3383533
M3 - Article in proceeding
VL - 2020
SP - 167
EP - 171
BT - The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PB - Association for Computing Machinery
CY - Taipei
Y2 - 20 April 2020 through 24 April 2020
ER -