Business Modelling Is Not Process Modelling
ER '00 Proceedings of the Workshops on Conceptual Modeling Approaches for E-Business and The World Wide Web and Conceptual Modeling: Conceptual Modeling for E-Business and the Web
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
Model-Driven Design Using Business Patterns
Model-Driven Design Using Business Patterns
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
A value-oriented approach to E-business process design
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Hetero-homogeneous hierarchies in data warehouses
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Surviving the heterogeneity jungle with composite mapping operators
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
Strategic models for business intelligence
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Composite indicators for business intelligence
ER'11 Proceedings of the 30th international conference on Conceptual modeling
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
Building data warehouses with semantic web data
Decision Support Systems
MoDELS'05 Proceedings of the 2005 international conference on Satellite Events at the MoDELS
Contextualized knowledge repositories for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Business intelligence modeling in action: a hospital case study
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Using domain ontologies as semantic dimensions in data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
| Hi-index | 0.00 |
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.