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Knowledge Management Systems: An Architecture for Active and Passive Knowledge

Author

Listed:
  • Stuart D. Galup

    (Florida Atlantic University, USA)

  • Ronald Dattero

    (Florida Atlantic University, USA)

  • Richard C. Heeks

    (Florida Atlantic University, USA)

Abstract

Knowledge Management Systems (KMS) offer an environment for organizations to manage their information assets (e.g., documents, databases, etc.). Existing KMS passively employ knowledge by querying a database, showing a document, displaying a Web page, etc. KMS can be extended to incorporate active components, such as expert systems and business rule systems. Currently, business rules reside in application code and database triggers. A KMS with an embedded expert system using business rules from the organization, combined with the connectivity of a server in a client/server architecture, provides an excellent environment for automating business activities at both local and enterprise levels. The segregation of business rules into the Knowledge Tier (KT) should lower the cost of development and maintenance, increase accuracy, and ensure corporation-wide consistency. In addition, knowledge verification tools are now being developed that will allow the computerization of less structured tasks, enabling another round of increased efficiency through computerization.

Suggested Citation

  • Stuart D. Galup & Ronald Dattero & Richard C. Heeks, 2002. "Knowledge Management Systems: An Architecture for Active and Passive Knowledge," Information Resources Management Journal (IRMJ), IGI Global, vol. 15(1), pages 22-27, January.
    • Handle: RePEc:igg:rmj000:v:15:y:2002:i:1:p:22-27
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    Cited by:

    1. Begler, A. & Gavrilova, T., 2018. "Artificial Intelligence Methods for Knowledge Management Systems," Working Papers 15106, Graduate School of Management, St. Petersburg State University.
    2. Temel, Tugrul & Kinlay, Dorjee, 2012. "A Method for Assessing Food Security Information System," MPRA Paper 43177, University Library of Munich, Germany, revised 08 Dec 2012.
    3. Elizabeta Susaj & Enkelejda Kucaj & Erald Laçi & Lush Susaj, 2017. "Environmental Impacts Assessment of Chromium Minings in Bulqiza Area, Albania," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, ejis_v3_i.
    4. Temel, Tugrul & Kinlay, Dorjee, 2012. "A Methodology for Information System Formation and Performance," MPRA Paper 42263, University Library of Munich, Germany.

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