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Modelling Distributed Knowledge Management Systems with Topic Maps

Paper, was published by Thomas Schwotzer at 2004-06-30

This paper describes how Topic Maps can be used to model organizational and spatial structure of DKMS.

External Link: download paper

Topic Maps are a knowledge representation standard. Distributed Knowledge Management describes a knowledge-based organization as network of more or less independent units (Knowledge Node) which create and exchange knowledge. This paper describes how Topic Maps can be used to model organizational and spatial structure of DKMS and interaction scenarios between Knowledge Nodes. Deployment of a runtime system is discussed and how measurements at runtime can be used to reveal unknown Knowledge Nodes and interaction pattern inside a DKMS.

References:

T. Schwotzer: “Modelling Distributed Knowledge Management Systems with Topic Maps”. In: Proceedings of the 4th International Conference on Knowledge Management (I-KNOW ’04), Graz, June 30 - July 2, 2004

Authors

Thomas Schwotzer

http://www.f4.fhtw-berlin.de/lehrende ... 

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Thomas is project leader of Shark. He is involved in TM4J2ME.

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Nowadays Topic Maps appears to be very suitable for being applied in Libraries, Archives and Museums. It provides a suitable model and mechanisms for depth indexing, classification and the implementation of FRBR, CIDOC-CRM or other conceptualizations.

Liliana_melgar
Liliana Melgar
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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