The Open UniversitySkip to content

Ontology management and evolution for business intelligence

Mikroyannidis, Alexander and Theodoulidis, Babis (2010). Ontology management and evolution for business intelligence. International Journal of Information Management, 30(6) 559- 566.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry.

Item Type: Journal Article
Copyright Holders: 2009 Elsevier Ltd
ISSN: 0268-4012
Keywords: information management; business intelligence; ontology; ontology management; ontology evolution
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 27013
Depositing User: Alexander Mikroyannidis
Date Deposited: 26 Jan 2011 10:22
Last Modified: 14 Nov 2013 17:30
Share this page:


Scopus Citations

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340