Semantic enrichment of OLAP cubes: Multi-dimensional ontologies and their representation in SQL and OWL
On the Move to Meaningful Internet Systems: OTM 2013 Conferences: Confederated …, 2013•Springer
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 …
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 …
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 closed-world OLAP cube. We introduce a representation in OWL in order to determine subsumption hierarchies of MDO concepts using off-the-shelf reasoners.
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