Tech Reports
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
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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