Session 9: Information Visualization in Java

This session will introduce a Java software library for research and education in Information Visualization. The covered algorithms transform data and information that are not inherently spatial into a visual form, thereby allowing the user to observe, interact with, and comprehend large amounts of data.

The library comprises common preprocessing, data analysis, and data layout algorithms, as well as algorithms that enable users to interactively explore data sets. An overview of algorithms can be found at http://iv.slis.indiana.edu/sw/. A unified XML toolkit architecture (http://iv.slis.indiana.edu/sw/toolkit.html) provides a flexible infrastructure in which multiple algorithms can be incorporated and combined.
 

Topics Covered

• Brief Introduction into Information Visualization
• Overview of the Information Visualization Software Repository
• Available Algorithms and XML Toolkit
• Hands on Visualization of File Directory and Phylogenetic Trees Using Three Different Tree Layout Algorithms

References

• Nihar Sheth, Katy Börner, Jason Baumgartner, Ketan Mane, and Eric Wernert. Visualization and Pairwise Comparison of Trees. IEEE Information Visualization Conference, Seattle, WA, 2003. This paper did win the 2nd Place in the InfoVis Contest.
• Jason Baumgartner, Katy Börner, Nathan J. Deckard, and Nihar Sheth. An XML Toolkit for an Information Visualization Software Repository. IEEE Information Visualization Conference, Seattle, WA, 2003,  Interactive Poster.
• Baumgartner, J. & Börner, K. Towards an XML Toolkit for a Software Repository Supporting Information Visualization Education. IEEE Information Visualization Conference, Boston, MA, 2002. Interactive Poster.
• Katy Börner & Yuezheng Zhou: A Software Repository for Education and Research in Information Visualization. Information Visualisation Conference, London, England, July 25-27, pp. 257-262, 2001.