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dc.contributor.authorDeb Nath, Rudra Pratap
dc.contributor.authorHose, Katja
dc.contributor.authorBach Pedersen, Torben
dc.contributor.authorRomero Moral, Óscar
dc.contributor.authorBhattacharjee, Amrit
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2020-05-22T14:57:52Z
dc.date.available2020-05-22T14:57:52Z
dc.date.issued2020
dc.identifier.citationDeb 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.isbn978-1-4503-7024-0
dc.identifier.urihttp://hdl.handle.net/2117/188695
dc.description.abstractWith 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.sponsorshipThis 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.extent5 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshSemantic web
dc.subject.lcshBusiness intelligence
dc.subject.lcshData warehousing
dc.subject.otherETL
dc.subject.otherSemantic data warehouse
dc.subject.otherSemantic ETL
dc.subject.otherSemantic data integration
dc.titleSETLBI: An integrated platform for semantic business intelligence
dc.typeConference report
dc.subject.lemacWeb semàntica
dc.subject.lemacIntel·ligència competitiva
dc.subject.lemacGestor de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1145/3366424.3383533
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3366424.3383533
dc.rights.accessOpen Access
local.identifier.drac28459062
dc.description.versionPostprint (published version)
local.citation.authorDeb Nath, R.; Hose, K.; Bach, T.; Romero, O.; Bhattacharjee, A.
local.citation.contributorInternational World Wide Web Conference
local.citation.pubplaceNew York
local.citation.publicationNameThe Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan
local.citation.startingPage167
local.citation.endingPage171


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