An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Data mining standards initiatives
Communications of the ACM - Evolving data mining into solutions for insights
Metadata Management for Data Warehousing: Between Vision and Reality
IDEAS '01 Proceedings of the International Database Engineering & Applications Symposium
Ontology-based Integration of OLAP and Information Retrieval
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
The Knowledge Engineering Review
Integrating heterogeneous data warehouses using XML technologies
Journal of Information Science
Modeling Analytical Indicators Using DataWarehouse Metamodel
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Business Metadata for the DataWarehouse
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
Data warehouse enhancement: A semantic cube model approach
Information Sciences: an International Journal
EIAW: towards a business-friendly data warehouse using semantic web technologies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
About semantic enrichment of strategic data models as part of enterprise models
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
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In the information system view, the reference architecture for strategic and decision support is based on the Data Warehouse architecture, that enables flexible and multidimensional analysis of strategic indexes by means of OLAP tools and reports. In this paper we propose a novel model for semantic annotation of Data Warehouse schema that takes into account domain ontologies as well as a mathematical ontology. Such an ontology describes mathematical formulas underlying elements of the datacube schema, including the semantics of operands and operators. In particular, we discuss and apply the proposed model for the semantic annotation of the schema of a datacube, that is the basis for OLAP analysis and contains information derived from Data Warehouse schema. In the paper, an illustrative case study together with some examples of analysis based on this kind of annotation are provided.