2026-04-13T01:55:43Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1886952026-02-09T06:07:17Zcom_2072_1033col_2072_452950
RECERCAT
author
Deb Nath, Rudra Pratap
author
Hose, Katja
author
Bach Pedersen, Torben
author
Romero Moral, Óscar
author
Bhattacharjee, Amrit
2020
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 DataWarehouse, either from scratch or by defining a multi-dimensional view over existing RDF data sources, and further enables OLAP-style analyses.This research is partially funded by the European Commission through the Erasmus Mundus Joint Doctorate Information Technologies for Business Intelligence (EM IT4BI-DC), the Poul Due Jensen Foundation, and the Danish Council for Independent Research (DFF) under grant agreement no. DFF-4093-00301B.Peer ReviewedPostprint (published version)
https://creativecommons.org/licenses/by/4.0/ Open Access Attribution 4.0 International
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
Semantic web
Business intelligence
Data warehousing
ETL
Semantic data warehouse
Semantic ETL
Semantic data integration
Web semàntica
Intel·ligència competitiva
Gestor de dades
SETLBI: An integrated platform for semantic business intelligence
Conference report