Ontology management and evolution for business intelligence

Authors:
Alexander Mikroyannidis;Babis Theodoulidis
Affiliations:
Manchester Business School, University of Manchester, Manchester M13 9SS, UK;Manchester Business School, University of Manchester, Manchester M13 9SS, UK
Venue:
International Journal of Information Management: The Journal for Information Professionals
Year:
2010

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Abstract

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.