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A framework for ontology-based temporal modelling of business intelligence

Mikroyannidis, Alexander and Theodoulidis, Babis (2012). A framework for ontology-based temporal modelling of business intelligence. Knowledge Management Research & Practice, 10 pp. 188–199.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1057/kmrp.2012.2
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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.

Item Type: Journal Article
Copyright Holders: 2012 Palgrave Macmillan
ISSN: 1477-8246
Keywords: ontology; business intelligence; information management; ontology evolution
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 32641
Depositing User: Alexander Mikroyannidis
Date Deposited: 24 Feb 2012 09:32
Last Modified: 23 Oct 2012 14:19
URI: http://oro.open.ac.uk/id/eprint/32641
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