Abstract
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. © 2013 Springer-Verlag.
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Schütz, C., Neumayr, B., & Schrefl, M. (2013). Business model ontologies in OLAP cubes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7908 LNCS, pp. 514–529). https://doi.org/10.1007/978-3-642-38709-8_33
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