A framework for ontology-based temporal modelling of business intelligence

Alexander Mikroyannidis; Babis Theodoulidis

doi:10.1057/kmrp.2012.2

A framework for ontology-based temporal modelling of business intelligence

Alexander Mikroyannidis, Babis Theodoulidis

Research output: Contribution to journal › Article › peer-review

Abstract

Ontologies provide the means for supporting business intelligence (BI) and information management through the interpretation of unstructured content. On the basis of the semantics of ontologies, information can be extracted from natural language texts, and on a further level of processing knowledge that facilitates BI can be discovered. However, in order to act this way, ontologies need to be properly modelled and evolved so that they are constantly aligned with changes that occur in the real world. This paper presents a framework for modelling the temporal aspects of a semantic knowledge base with direct impact on the BI process. © 2012 Operational Research Society. All rights reserved.

Original language	English
Pages (from-to)	188-199
Number of pages	11
Journal	Knowledge Management Research and Practice
Volume	10
Issue number	2
DOIs	https://doi.org/10.1057/kmrp.2012.2
Publication status	Published - Jun 2012

Keywords

business intelligence
information management
ontology
ontology evolution

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10.1057/kmrp.2012.2

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KW - ontology evolution

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A framework for ontology-based temporal modelling of business intelligence

Abstract

Keywords

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