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Nowicki Adam (Częstochowa University of Technology), Ziora Leszek (Czestochowa University of Technology, Poland)
The Concept of Semantic Business Intelligence. Review of Selected Practical Solutions
Koncepcja semantycznego Business Intelligence. Przegląd wybranych rozwiązań praktycznych
Studia Ekonomiczne / Uniwersytet Ekonomiczny w Katowicach, 2012, nr 117, s. 79-87, rys., bibliogr. 12 poz.
Issue title
Creativity support systems, methods, and applications
Systemy Business Intelligence, Decyzje kierownicze, Procesy biznesowe
Business Intelligence systems, Management decision, Business processes
Celem artykułu jest przedstawienie koncepcji semantycznego Business Intelligence wraz z prezentacją wybranych rozwiązań praktycznych. Przedmiotem rozważań zostały objęte zastosowania znaczników i ontologii w BI oraz semantyczny model Business Intelligence wraz z jego komponentami. Przedstawiono komercyjne rozwiązanie BISM oraz takie projekty, jak MUSING i Extracta. (abstrakt oryginalny)

The aim of the article is to present the concept of Semantic Business Intelligence including two different practical solutions. It raises mainly two issues, the first one is connected with the application of tags and ontologies in BI and the second presents briefly the BI semantic model and its components. (fragment of text)
The Library of University of Economics in Katowice
The Main Library of Poznań University of Economics and Business
Full text
  1. Aker B.: The Next Generation of Business Intelligence. Semantic Intelligence,, December 2009.
  2. Anand T.K.: Analysis Services - Roadmap for SQL Server Code Name "Denali" and Beyond, 2010/11/12/analysis-services-roadmap-for-sql-server-denali-and-beyond.aspx.
  3. Damme C.V.: Approaches to Analyse Corporate Tags for Business Intelligence Purposes. In: OBI '08 Proceedings of the First International Workshop on Ontology-Supported Business Intelligence. ACM, New York 2008.
  4. Fonseca F.: The Double Role of Ontologies in Information Science Research. "Journal of the American Society for Information Science and Technology" 2007, 58(6), pp. 786-793.
  6. Lachev T.: Business Intelligence Semantic Model - The Good, The Bad, and the Ugly, semantic-model-the-good-the-bad-and-the-ugly.aspx, May 2011.
  7. Medeiros A.K., Pedrinaci C., Aalst W., Domingue J., Song M., Rozinat A., Norton B., Cabral L.: An Outlook on Semantic Business Process Mining and Monitoring. Eindhoven University of Technology The Netherlands, The Open University, Milton Keynes, UK 2010.
  8. Saggion H., Funk A., Maynard D., Bontcheva K.: Ontology-based Information Extraction for Business Intelligence. Sheffield, UK 2011.
  9. Sell D., Silva D., Beppler F., Napoli M., Ghisi F., Pacheco R., Todesco J.: SBI: A Semantic Framework to Support Business Intelligence. OBI'08, October, Karlsruhe, Germany 2008.
  10. Spahn M., Kleb J., Grimm S., Scheidl S.: Supporting Business Intelligence by Providing Ontology-Based End-User Information Self-Service. OBI'08, October 27, Karlsruhe, Germany 2008.
  11. Turban E., Aronson J.E., Liang T., Sharda R.: Decision Support and Business Intelligence Systems. Prentice Hall, New Jersey 2007.
  12. Turban E., Aronson J.E., King D., Sharda R.: Business Intelligence. A Managerial Approach. Prentice Hall, New Jersey 2008.
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