2026-04-17T23:05:43Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1886952026-02-09T06:07:17Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Deb Nath, Rudra Pratap author Hose, Katja author Bach Pedersen, Torben author Romero Moral, Óscar author Bhattacharjee, Amrit author 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 Reviewed Postprint (published version) 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