Projects per year
Abstract
A multi-dimensional ontology (MDO) enriches an OLAP cube with concepts that represent business terms in the context of data analysis. The formal representation of the meaning of business terms facilitates the unambiguous interpretation of query results as well as the sharing of knowledge among business analysts. In contrast to traditional ontologies, an MDO captures the multi-dimensional, hierarchical world view of business analysts. In this paper, we introduce a translation of MDO concepts to SQL in order to allow for the querying of a closedworld OLAP cube. We introduce a representation in OWL in order to determine subsumption hierarchies of MDO concepts using off-the-shelf reasoners.
Keywords: Business Intelligence, OLAP, Data Warehouse, Knowledge Representation and Reasoning
| Original language | English |
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| Title of host publication | Proceedings of the 12th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2013), Graz, Austria, September 10-12, 2013 |
| Editors | Pieter De Leenheer, Deijing Dou |
| Number of pages | 18 |
| Volume | 8186 |
| Publication status | Published - Sept 2013 |
Publication series
| Name | Lecture Notes in Computer Science (LNCS) |
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Fields of science
- 102 Computer Sciences
- 102015 Information systems
- 502 Economics
- 509 Other Social Sciences
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation
Projects
- 1 Finished
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SemCockpit - An Ontology-Driven, Interactive Business Intelligence Tool for Comparative Data Analysis
Anderlik, S. (Researcher), Berger, S. (Researcher), Ellinger, C. (Researcher), Karlinger, M. (Researcher), Qeleshi, A. (Researcher), Schrefl, M. (Researcher), Schütz, C. G. (Researcher), Steiner, D. (Researcher) & Neumayr, B. (PI)
01.03.2011 → 28.02.2014
Project: Funded research › FFG - Austrian Research Promotion Agency