Visualization of large category hierarchies

Robert P. Biuk-Aghai, Cheong Iao Pang, Felix Hon Hou Cheang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationVINCI 2011 - The 4th Visual Information Communication - International Symposium
Publication statusPublished - 2011
Externally publishedYes
Event4th Visual Information Communication - International Symposium, VINCI 2011 - Hong Kong, China
Duration: 4 Aug 20115 Aug 2011

Publication series

NameACM International Conference Proceeding Series


Conference4th Visual Information Communication - International Symposium, VINCI 2011
CityHong Kong


  • category
  • hierarchical data
  • information visualization
  • large-scale data
  • wiki


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