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Lecture Notes in Computer Science
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. We adopt business model ontologies for the representation of nonnumeric measures in OLAP cubes. We propose modeling guidelines and adapt traditional OLAPdoi:10.1007/978-3-642-38709-8_33 fatcat:zub3d2jieja57g2ztusx44onqu