Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and their Representation in SQL and OWL

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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 languageEnglish
Title of host publicationProceedings 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 pages18
Volume8186
Publication statusPublished - Sept 2013

Publication series

NameLecture Notes in Computer Science (LNCS)

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

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