Knowledge Management Systems: An Architecture for Active and Passive Knowledge

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Author(s): Stuart D. Galup (Florida Atlantic University, USA), Ronald Dattero (Florida Atlantic University, USA)and Richard C. Heeks (Florida Atlantic University, USA)
Copyright: 2002
Volume: 15
Issue: 1
Pages: 6
Source title: Information Resources Management Journal (IRMJ)
Editor(s)-in-Chief: George Kelley (University of Massachusetts, USA)
DOI: 10.4018/irmj.2002010103

Keywords: Information Resources Management / Information Science Reference / Library & Information Science

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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.

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