Many of today's organizations already have a strong integration of groupware systems within their IT‐infrastructure. The shared databases of these groupware systems form organizational memories, which comprise the complete knowledge of an organization collected over the time of its existence. One key problem is how to find relevant knowledge or information in continuously growing and distributed organizational memories. In many cases, the basic functionalities and mechanisms of groupware systems are not sufficient to support users in finding required knowledge or information. Topic maps provide strong paradigms and concepts for the semantic structuring of link networks and therefore, they are a considerable solution for organizing and navigating large and, continuously growing organizational memories. The K‐Discovery project suggests applying topic maps to groupware systems to address the mentioned challenges. Thus, the K‐Discovery project introduces a conceptual framework, an architecture, and an implementation approach to create knowledge structures by generating topic maps from organizational memories and offers navigation tools to exploit the created structures.
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1 June 2003
Editors
Elena-Madalina Vatamanescu
Elena-Madalina Vatamanescu
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Research Article|
June 01 2003
Visual navigation of distributed knowledge structures in groupware‐based organizational memories Available to Purchase
Stefan Smolnik;
Stefan Smolnik
Department of Business Computing, University of Paderborn, Paderborn, Germany
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Ingo Erdmann
Ingo Erdmann
Department of Business Computing, University of Paderborn, Paderborn, Germany
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Publisher: Emerald Publishing
Online ISSN: 1758-4116
Print ISSN: 1463-7154
© MCB UP Limited
2003
Business Process Management Journal (2003) 9 (3): 261–280.
Citation
Smolnik S, Erdmann I (2003), "Visual navigation of distributed knowledge structures in groupware‐based organizational memories". Business Process Management Journal, Vol. 9 No. 3 pp. 261–280, doi: https://doi.org/10.1108/14637150310477885
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