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: https://doi.org/10.1016/j.ijinfomgt.2009.10.002

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.

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About

• Item ORO ID
• 27013
• Item Type
• Journal Item
• ISSN
• 0268-4012
• Keywords
• information management; business intelligence; ontology; ontology management; ontology evolution
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2009 Elsevier Ltd
• Depositing User
• Alexander Mikroyannidis