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A modular approach for exploring the semantic structure of technical document collections
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Proceedings of the working conference on Advanced visual interfaces table of contents
Palermo, Italy
Pages: 298 - 301  
Year of Publication: 2000
ISBN:1-58113-252-2
Authors
Andreas Becks  Lehrstuhl für Informatik V (Informationssysteme), RWTH Aachen, Ahornstraβe 55, 52056 Aachen, Germany
Stefan Sklorz  Lehrstuhl für Informatik V (Informationssysteme), RWTH Aachen, Ahornstraβe 55, 52056 Aachen, Germany
Matthias Jarke  Lehrstuhl für Informatik V (Informationssysteme), RWTH Aachen, Ahornstraβe 55, 52056 Aachen, Germany
Sponsors
University of L'Aquila : University of L'Aquila
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

The identification and analysis of an enterprise's knowledge available in a documented form is a key element of knowledge management. Visual methods which allow easy access to a document collection's contents are an enabling technology. However, no single information retrieval technique is likely to adequately deal with such tasks independent of the specific situation. In this paper, we therefore present a visualization technique based on a modular approach that allows a variety of techniques from semantic document analysis to be used in the visualization of the structure of technical document collections.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Becks, A. Host, M. Qualit/atspriifung mit Dokumentenlandkarten, tekom-Frtihjahrstagung, Stuttgart, 1999
 
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Lagus, K., Honkela, T., Kaski, S., Kohonen, T.: Self- Organizing Maps of Document Collections: A New Approach to interactive Exploration. 2~ Int. Conf. on Knowledge Discovery and Data Mining, California, 1996
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Sklorz, S. Becks, A. Jarke, M. MIDAS - ein Multistrategiesystem zum explorativen Data Mining (in German). Data Mining und Data Warehousing als Grundlage moderner entscheidungsuntersttitzender Systeme (DMDW '99), Magdeburg, September 1999, pp. 129 - 143
 
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Sklorz, S.: A Method for Data Analysis based on Self Organizing Feature Maps. World Automation Congress (WAC '96), Vol.5, Albuquerque, USA, 1996
 
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Torgerson, W.S.: Mulidimensional scaling. Psychometrika, 17, pp. 401-419, 1952
 
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Collaborative Colleagues:
Andreas Becks: colleagues
Stefan Sklorz: colleagues
Matthias Jarke: colleagues