1. Ontology management and evolution for business intelligence
- Author
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Mikroyannidis, Alexander and Theodoulidis, Babis
- Subjects
Information accessibility ,Company systems management ,Business enterprises -- Information management ,Business intelligence -- Evaluation ,Controlled vocabularies -- Analysis ,Information management -- Evaluation - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijinfomgt.2009.10.002 Byline: Alexander Mikroyannidis, Babis Theodoulidis Keywords: Information management; Business intelligence; Ontology; Ontology management; Ontology evolution 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. Author Affiliation: Manchester Business School, University of Manchester, Manchester M13 9SS, UK
- Published
- 2010