Business Model Ontologies in OLAP Cubes
- Authors
- C. Schütz, B. Neumayr, M. Schrefl
- Paper
- Schu13a (2013)
- Citation
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. - Resources
- Copy (In order to obtain the copy please send an email with subject Schu13a to dke.win@jku.at)
Abstract (English)
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