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Ontology management and evolution for business intelligence

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  • Mikroyannidis, Alexander
  • Theodoulidis, Babis

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.

Suggested Citation

  • Mikroyannidis, Alexander & Theodoulidis, Babis, 2010. "Ontology management and evolution for business intelligence," International Journal of Information Management, Elsevier, vol. 30(6), pages 559-566.
    • Handle: RePEc:eee:ininma:v:30:y:2010:i:6:p:559-566
    DOI: 10.1016/j.ijinfomgt.2009.10.002
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    Cited by:

    1. Hou, Chung-Kuang, 2012. "Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry," International Journal of Information Management, Elsevier, vol. 32(6), pages 560-573.
    2. Mahavarpour, Nasrin & Marvi, Reza & Foroudi, Pantea, 2023. "A Brief History of Service Innovation: The evolution of past, present, and future of service innovation," Journal of Business Research, Elsevier, vol. 160(C).

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