Open access semantic aware business intelligence
| Autor: | Oscar Romero, Alberto Abelló |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Computer science
Informàtica::Sistemes d'informació [Àrees temàtiques de la UPC] Decision support systems Data modeling Business intelligence World Wide Web Sistemes d'ajuda a la decisió RDF Multidimensional modeling Semantic Web Exploratory business intelligence business.industry Linked data computer.file_format Economia i organització d'empreses::Competitivitat i innovació::Intel·ligència competitiva [Àrees temàtiques de la UPC] Ontology language Data warehouse Data warehousing ETL Open data Data provisioning business computer Semantic web Intel·ligència competitiva |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya Universitat Jaume I Business Intelligence ISBN: 9783319054605 eBISS UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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