Towards Ontology-valued Measures in OLAP Cubes: Extending the Semantic Cockpit with Non-numeric Measures
Sprache des Vortragstitels:
Many real-world facts do not boil down to a single number but are more accurately represented by business model ontologies. 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. 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.