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Open access semantic aware business intelligence
Romero Moral, Óscar; Abelló Gamazo, Alberto
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació; Universitat Politècnica de Catalunya. MPI - Modelització i processament d´informació
The 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.
Àrees temàtiques de la UPC::Economia i organització d'empreses::Competitivitat i innovació::Intel·ligència competitiva
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
Decision support systems
Business intelligence
Semantic web
Data warehousing
ETL
Multidimensional modeling
Exploratory business intelligence
Data modeling
Data provisioning
Sistemes d'ajuda a la decisió
Intel·ligència competitiva
info:eu-repo/semantics/submittedVersion
info:eu-repo/semantics/conferenceObject
Springer
         

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