Visualization of large category hierarchies

From WikiLit
Jump to: navigation, search
Publication (help)
Visualization of large category hierarchies
Authors: Robert P. Biuk-Aghai, Cheong-Iao Pang, Felix Hon Hou Cheang [edit item]
Citation: Proceedings of the 2011 Visual Information Communication - International Symposium (VINCI '11)  : . 2011 August 4-5. Hong Kong, China. ACM.
Publication type: Conference paper
Peer-reviewed: Yes
Database(s):
DOI: 10.1145/2016656.2016658.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: No
Search
Article: Google Scholar BASE PubMed
Other scholarly wikis: AcaWiki Brede Wiki WikiPapers
Web search: Bing Google Yahoo!Google PDF
Other:
Services
Format: BibTeX
Visualization of large category hierarchies is a publication by Robert P. Biuk-Aghai, Cheong-Iao Pang, Felix Hon Hou Cheang.


[edit] Abstract

Large data repositories such as electronic journal databases, document corpora and wikis often organise their content into categories. Librarians, researchers, and interested users who wish to know the content distribution among different categories face the challenge of analysing large amounts of data. Information visualization can assist the user by shifting the analysis task to the human visual sub-system. In this paper we describe three visualization methods we have implemented, which help users understand category hierarchies and content distribution within large document repositories, and present an evaluation of these visualizations, pointing out each of their relative strengths for communicating information about the underlying category structure.

[edit] Research questions

Research details

Topics: Missing topics [edit item]
Domains: Missing domains [edit item]
Theory type: Missing theory_type [edit item]
Wikipedia coverage: [edit item]
Theories: [edit item]
Research design: [edit item]
Data source: [edit item]
Collected data time dimension: [edit item]
Unit of analysis: Missing unit_of_analysis [edit item]
Wikipedia data extraction: Missing wikipedia_data_extraction [edit item]
Wikipedia page type: Missing wikipedia_page_type [edit item]
Wikipedia language: Missing wikipedia_language [edit item]

[edit] Conclusion

[edit] Comments

[edit] References

1 Inderjit S. Dhillon , Dharmendra S. Modha, Concept decompositions for large sparse text data using clustering, Machine Learning, v.42 n.1/2, p.143-175, Jan. 2001 [doi>10.1023/A:1007612920971]

2 Giuseppe Di Battista , Peter Eades , Roberto Tamassia , Ioannis G. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs, Prentice Hall PTR, Upper Saddle River, NJ, 1998

3 Geoffrey M. Draper , Yarden Livnat , Richard F. Riesenfeld, A Survey of Radial Methods for Information Visualization, IEEE Transactions on Visualization and Computer Graphics, v.15 n.5, p.759-776, September 2009 [doi>10.1109/TVCG.2009.23]

4 Nathalie Henry , Jean-Daniel Fekete, MatLink: enhanced matrix visualization for analyzing social networks, Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction, September 10-14, 2007, Rio de Janeiro, Brazil

5 Patrick Hoffman , Georges Grinstein , Kenneth Marx , Ivo Grosse , Eugene Stanley, DNA visual and analytic data mining, Proceedings of the 8th conference on Visualization '97, p.437-ff., October 18-24, 1997, Phoenix, Arizona, United States

6 Todd Holloway , Miran Bozicevic , Katy Börner, Analyzing and visualizing the semantic coverage of Wikipedia and its authors: Research Articles, Complexity, v.12 n.3, p.30-40, January 2007 [doi>10.1002/cplx.v12:3]

7 T. Kamada , S. Kawai, An algorithm for drawing general undirected graphs, Information Processing Letters, v.31 n.1, p.7-15, April 1989 [doi>10.1016/0020-0190(89)90102-6]

8 T. Kohonen , M. R. Schroeder , T. S. Huang, Self-Organizing Maps, Springer-Verlag New York, Inc., Secaucus, NJ, 2001

9 Y. H. Li and A. K. Jain. Classification of text documents. The Computer Journal, 41(8):537--546, 1998.

10 Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986

11 A. Skupin. The world of geography: Visualizing a knowledge domain with cartographic means. In Proceedings of the National Academy of Sciences, volume 101 (Suppl. 1), pages 5274--5278, 2004.

12 John Stasko, An evaluation of space-filling information visualizations for depicting hierarchical structures, International Journal of Human-Computer Studies, v.53 n.5, p.663-694, Nov. 2000 [doi>10.1006/ijhc.2000.0420]

13 H.-M. Wu, S. Tzeng, and C.-H. Chen. Matrix visualization. In Handbook of Data Visualization, Springer Handbooks Comp.Statistics, pages 681--708. Springer Berlin Heidelberg, 2008.

Further notes[edit]

Facts about "Visualization of large category hierarchies"RDF feed
AbstractLarge data repositories such as electronicLarge data repositories such as electronic journal databases, document corpora and wikis often organise their content into categories. Librarians, researchers, and interested users who wish to know the content distribution among different categories face the challenge of analysing large amounts of data. Information visualization can assist the user by shifting the analysis task to the human visual sub-system. In this paper we describe three visualization methods we have implemented, which help users understand category hierarchies and content distribution within large document repositories, and present an evaluation of these visualizations, pointing out each of their relative strengths for communicating information about the underlying category structure.n about the underlying category structure.
Added by wikilit teamNo +
Conference locationHong Kong, China +
Dates4-5 +
Doi10.1145/2016656.2016658 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Visualization%2Bof%2Blarge%2Bcategory%2Bhierarchies%22 +
Has authorRobert P. Biuk-Aghai +, Cheong-Iao Pang + and Felix Hon Hou Cheang +
MonthAugust +
Peer reviewedYes +
Publication typeConference paper +
Published inProceedings of the 2011 Visual Information Communication - International Symposium (VINCI '11) +
PublisherACM +
Revid10,563 +
TitleVisualization of large category hierarchies
Urlhttp://doi.acm.org/10.1145/2016656.2016658 +
Year2011 +