Discovering Knowledge Through Visual Analysis

Jim Thomas (Pacific Northwest National Laboratory, USA)

Paula Cowley (Pacific Northwest National Laboratory, USA)

Olga Kuchar (Pacific Northwest National Laboratory, USA)

Lucy Nowell (Pacific Northwest National Laboratory, USA)

Judi Thomson (Pacific Northwest National Laboratory, USA)

Pak Chung Wong (Pacific Northwest National Laboratory, USA)

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, digital content and media, digital libraries, higher-order interaction, human-computer interaction, knowledge management, visual paradigms

Categories: H.5, H.5.1, H.5.2, I.3, I.3.8