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Tech Report kmi-02-05 Abstract


Visualization of Dynamic Chat Communication
Techreport ID: kmi-02-05
Date: 2002
Author(s): Ondrej Novak, Marc Eisenstadt, Pavel Slavik
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This work is aimed at visualizing the dynamic behaviour of very large communication networks. The visualization of large graphs and networks is a crucial part of many applications, for which typical approaches are too demanding of computational resources. Since one of the most important issues is a visualization of the dynamic behaviour of graphs, special aspects of the visualization of huge graphs with dynamic behaviour are discussed. The paper describes an algorithm that speeds up the visualization of very large graphs and provides fast access to underlying data structures. It provides an adaptive data structure for general dynamic graphs and discusses the adaptation of this structure to very large communication networks. Our method supports several special tools for efficient analysis and evaluation of the graphs representing communication networks.
 
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Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.