JUCS - Journal of Universal Computer Science 7(6): 517-529, doi: 10.3217/jucs-007-06-0517
Discovering Knowledge Through Visual Analysis
Jim Thomas‡, Paula Cowley‡, Olga Kuchar‡, Lucy Nowell‡, Judi Thomson‡, Pak Chung Wong‡‡ Pacific Northwest National Laboratory, Richland, WA, United States of America
Corresponding author: Jim Thomas ( jim.thomas@pnl.gov ) © Jim Thomas, Paula Cowley, Olga Kuchar, Lucy Nowell, Judi Thomson, Pak Wong. This article is freely available under the J.UCS Open Content License. Citation:
Thomas J, Cowley P, Kuchar O, Nowell L, Thomson J, Wong PC (2001) Discovering Knowledge Through Visual Analysis. JUCS - Journal of Universal Computer Science 7(6): 517-529. https://doi.org/10.3217/jucs-007-06-0517 |  |
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.
Keywords
Information visualization, knowledge management, digital content and media, digital libraries, visual paradigms, higher-order interaction, human-computer interaction