home > library > publications > visualizing an auto-generated topic map

close subject identifiers for Visualizing an Auto-Generated Topic Map
  • http://www.topicmapslab.de/publications/visualizing_an_auto-generated_topic_map
Paul_newman

Visualizing an Auto-Generated Topic Map

Paper, by Stefan Groschupf and Nadine Amende

This paper discusses visualization approaches and select one being most suitable for the presented topic map.

External Link: download paper

The present work was developed within the scope of a practical training and in cooperation with media-style GmbH. The aim of this practical training was visualizing an auto-generated topic map to represent important information as topics. In times of information overload and huge amounts of documents, people have to receive the information they need. Topic maps are well suited to address this problem. We look at different approaches for visualizing a topic map: graphs, trees and maps. Graphs and trees are good for an efficient navigation and a quick access to information whereas trees
provide the user with an understandable hierarchical structure. Maps represent a clear and simple overview about plenty of documents. In this paper, we discuss visualization approaches and select one being most suitable for our topic map. We elect an algorithm to realize this approach and explain its functionality. To test the quality of our map we wrote a test algorithm, which tests and if necessary improves our topic map.

This publication is cited in the following publication

 

Follow us on Twitter

maiana

I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.

Marcel_hoyer_-_130x130
Marcel Hoyer
SharpTM
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab

onotoa