Visualizing Content Based Relations in Texts

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	Similar Articles Articles by Edgar Weippl

Second Australasian User Interface Conference (AUIC'01)

Gold Coast, Queensland, Australia

January 29-February 01

ISBN: 0-7695-0969-X

	ASCII Text	x
	Edgar Weippl, "Visualizing Content Based Relations in Texts," Australasian User Interface Conference, pp. 34, Second Australasian User Interface Conference (AUIC'01), 2001.

	BibTex	x
	@article{ 10.1109/AUIC.2001.906274, author = {Edgar Weippl}, title = {Visualizing Content Based Relations in Texts}, journal ={Australasian User Interface Conference}, volume = {0}, year = {2001}, issn = {1530-0951}, pages = {34}, doi = {http://doi.ieeecomputersociety.org/10.1109/AUIC.2001.906274}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Australasian User Interface Conference TI - Visualizing Content Based Relations in Texts SN - 1530-0951 SP EP A1 - Edgar Weippl, PY - 2001 KW - Text clustering KW - stemming/morphological analysis KW - information visualization for IR KW - UIs/visualization for hypertext search and navigation KW - text categorization. VL - 0 JA - Australasian User Interface Conference ER -

Edgar Weippl, Software Competence Center Hagenberg

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AUIC.2001.906274

Our goal is to efficiently visualize a medium sized hypertext database containing 500-20000 articles. The visualization technique we propose is an Information Landscape. Basically,the information landscape maps texts into a 2D plane so that related texts are placed next to each other. The hypertexts' location is calculated according to their content and not according to their links. Combining already published algorithms the clustering works very well. An important issue, however, is a well-designed user interface (UI). In this paper we present two 2D interfaces and an improved 3D version. This paper covers all aspects from preprocessing and clustering to the final UI and its functionality.

Index Terms:

Text clustering, stemming/morphological analysis, information visualization for IR, UIs/visualization for hypertext search and navigation, text categorization.

Citation:

Edgar Weippl, "Visualizing Content Based Relations in Texts," auic, pp.34, Second Australasian User Interface Conference (AUIC'01), 2001

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