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.
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Schütz, C., Neumayr, B., Schrefl, M. (2013). Business Model Ontologies in OLAP Cubes. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds) Advanced Information Systems Engineering. CAiSE 2013. Lecture Notes in Computer Science, vol 7908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38709-8_33
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DOI: https://doi.org/10.1007/978-3-642-38709-8_33
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