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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