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SETLBI: An integrated platform for semantic business intelligence
dc.contributor.author | Deb Nath, Rudra Pratap |
dc.contributor.author | Hose, Katja |
dc.contributor.author | Bach Pedersen, Torben |
dc.contributor.author | Romero Moral, Óscar |
dc.contributor.author | Bhattacharjee, Amrit |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2020-05-22T14:57:52Z |
dc.date.available | 2020-05-22T14:57:52Z |
dc.date.issued | 2020 |
dc.identifier.citation | Deb Nath, R. [et al.]. SETLBI: An integrated platform for semantic business intelligence. A: International World Wide Web Conference. "The Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan". New York: Association for Computing Machinery (ACM), 2020, p. 167-171. |
dc.identifier.isbn | 978-1-4503-7024-0 |
dc.identifier.uri | http://hdl.handle.net/2117/188695 |
dc.description.abstract | 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. |
dc.description.sponsorship | 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. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.rights | Attribution 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject.lcsh | Semantic web |
dc.subject.lcsh | Business intelligence |
dc.subject.lcsh | Data warehousing |
dc.subject.other | ETL |
dc.subject.other | Semantic data warehouse |
dc.subject.other | Semantic ETL |
dc.subject.other | Semantic data integration |
dc.title | SETLBI: An integrated platform for semantic business intelligence |
dc.type | Conference report |
dc.subject.lemac | Web semàntica |
dc.subject.lemac | Intel·ligència competitiva |
dc.subject.lemac | Gestor de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing |
dc.identifier.doi | 10.1145/3366424.3383533 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3366424.3383533 |
dc.rights.access | Open Access |
local.identifier.drac | 28459062 |
dc.description.version | Postprint (published version) |
local.citation.author | Deb Nath, R.; Hose, K.; Bach, T.; Romero, O.; Bhattacharjee, A. |
local.citation.contributor | International World Wide Web Conference |
local.citation.pubplace | New York |
local.citation.publicationName | The Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan |
local.citation.startingPage | 167 |
local.citation.endingPage | 171 |