Business Model Ontologies in OLAP Cubes

Description

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

Period	17 Jun 2013
Event title	25th International Conference on Advanced Information Systems Engineering (CAiSE 2013), Valencia, Spain, June 17-21, 2013
Event type	Conference
Location	SpainShow on map