Discovering knowledge through visual analysis

Jim Thomas, Paula Cowley, Olga Kuchar, Lucy Nowell, Judi Thomson, Pak Chung Wong

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This paper describes our vision for the near future in digital content analysis as it relates to the creation, verification, and presentation of knowledge. We focus on how visualization enables humans to make discoveries and gain knowledge. Visualization, in this context, is not just the picture representing the data but also a two-way interaction between humans and their information resources for the purposes of knowledge discovery, verification, and the sharing of knowledge with others. We present visual interaction and analysis examples to demonstrate how one current visualization tool analyzes large, diverse collections of text. This is followed by lessons learned and the presentation of a core concept for a new human information discourse.

Original languageEnglish
Pages (from-to)517-529
Number of pages13
JournalJournal of Universal Computer Science
Volume7
Issue number6
StatePublished - 2001
Externally publishedYes

Keywords

  • Digital content and media
  • Digital libraries
  • Higher-order interaction
  • Human-computer interaction
  • Information visualization
  • Knowledge management
  • Visual paradigms

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