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dc.contributor.authorRomero Moral, Óscar
dc.contributor.authorAbelló Gamazo, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2014-07-25T11:26:50Z
dc.date.available2015-03-31T02:31:12Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationRomero, O.; Abello, A. Open access semantic aware business intelligence. A: European Business Intelligence Summer School. "Business Intelligence: Third European Summer School, eBISS 2013: Dagstuhl Castle, Germany, July 7–12, 2013: tutorial lectures". Dagstuhl: Springer, 2013, p. 121-149.
dc.identifier.isbn978-3-319-05460-5
dc.identifier.urihttp://hdl.handle.net/2117/23622
dc.description.abstractThe vision of an interconnected and open Web of data is, still, a chimera far from being accomplished. Fortunately, though, one can find several evidences in this direction and despite the technical challenges behind such approach recent advances have shown its feasibility. Semantic-aware formalisms (such as RDF and ontology languages) have been successfully put in practice in approaches such as Linked Data, whereas movements like Open Data have stressed the need of a new open access paradigm to guarantee free access to Web data. In front of such promising scenario, traditional business intelligence (BI) techniques and methods have been shown not to be appropriate. BI was born to support decision making within the organizations and the data warehouse, the most popular IT construct to support BI, has been typically nurtured with data either owned or accessible within the organization. With the new linked open data paradigm BI systems must meet new requirements such as providing on-demand analysis tasks over any relevant (either internal or external) data source in right-time. In this paper we discuss the technical challenges behind such requirements, which we refer to as exploratory BI, and envision a new kind of BI system to support this scenario.
dc.format.extent29 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Competitivitat i innovació::Intel·ligència competitiva
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshDecision support systems
dc.subject.lcshBusiness intelligence
dc.subject.otherSemantic web
dc.subject.otherData warehousing
dc.subject.otherETL
dc.subject.otherMultidimensional modeling
dc.subject.otherExploratory business intelligence
dc.subject.otherData modeling
dc.subject.otherData provisioning
dc.titleOpen access semantic aware business intelligence
dc.typeConference report
dc.subject.lemacSistemes d'ajuda a la decisió
dc.subject.lemacIntel·ligència competitiva
dc.contributor.groupUniversitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi10.1007/978-3-319-05461-2_4
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-05461-2_4
dc.rights.accessOpen Access
local.identifier.drac14003807
dc.description.versionPostprint (author’s final draft)
local.citation.authorRomero, O.; Abello, A.
local.citation.contributorEuropean Business Intelligence Summer School
local.citation.pubplaceDagstuhl
local.citation.publicationNameBusiness Intelligence: Third European Summer School, eBISS 2013: Dagstuhl Castle, Germany, July 7–12, 2013: tutorial lectures
local.citation.startingPage121
local.citation.endingPage149


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