The Electronic Journal of Knowledge Management aims to publish perspectives on topics relevant to the study, implementation and management of knowledge management
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Information about the European Conference on Knowledge Management (ECKM) is available here.

For info on the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning (ICICKM), click here
Information about the European Conference on Intellectual Capital (ECIC) is available here
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Journal Article

Knowledge Management System Building Blocks  pp137-148

Georg H├╝ttenegger

© Nov 2003 Volume 1 Issue 2, Editor: Fergal McGrath, pp1 - 226

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Abstract

This paper describes three building blocks of a technological Knowledge Management (KM) system that provides all relevant and practical means of supporting KM and thus differentiates itself from existing KM tools in goal and approach, as they usually deal with a limited range only. The three blocks described within this paper are: a virtual information pool, which utilizes Enterprise Application Integration (EAI), a single and central user interface providing ubiquitous access, and mechanisms to enrich the available data, essentially based on Artificial Intelligence and Data Mining techniques.

 

Keywords: Knowledge Management System, Virtual Information Pool, Ubiquitous Access, Machine Learning Data Mining

 

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Journal Article

Data Mining as a Technique for Knowledge Management in Business Process Redesign  pp33-44

Olusegun Folorunso, Adewale O. Ogunde

© Jan 2005 Volume 2 Issue 1, Editor: Charles Despres, pp1 - 90

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Abstract

Business Process Redesign (BPR) is undertaken to achieve order‑of‑magnitude improvements over 'old' form of the organisation. Practitioners in the academia and business world have developed a number of methodologies to support this competitive restructuring that forms the current focus of concern, many of which have not been successful. This paper suggests the use of Data Mining (DM) as a technique to support the process of redesigning a business by extracting the much‑needed knowledge hidden in large volumes of data maintained by the organization through the DM models.

 

Keywords: Data Mining, Knowledge Management, Business Process Redesign, Business reengineering, Artificial Neural Networks

 

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