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Business Model Ontologies in OLAP Cubes

Autoren: C. Schütz, B. Neumayr, M. Schrefl
Paper: Schu13a (2013)
Zitat: Proceedings of the 25th International Conference on Advanced Information Systems Engineering (CAiSE 2013), Valencia, Spain, June 17-21, 2013, Camille Salinesi et al. (editors), Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 7908), ISBN 978-3642387081, pp. 514-529, 2013.
Ressourcen: Kopie  (Senden Sie ein Email mit  Schu13a  als Betreff an dke.win@jku.at um diese Kopie zu erhalten)


Kurzfassung (Englisch):

Business model ontologies capture the complex interdependencies between business objects. The analysis of the hence formalized knowledge eludes traditional OLAP systems which operate on numeric measures. Many real-world facts, however, do not boil down to a single number but are more accurately represented by business model ontologies.In this paper, we adopt business model ontologies for the representation of non-numeric measures in OLAP cubes. We propose modeling guidelines and adapt traditional OLAP operations for ontology-valued measures.

Keywords: Business Intelligence, Business Modeling, Resource-Event-Agent, Resource Description Framework