Information Visualization

The amount of diverse types of digital information is increasing constantly.  Information visualization aims to provide users with more usable and powerful, human-computer interfaces for finding, making sense of, and manipulating information.

Projects:

LVis - A Smart Virtual Reality Interface to Digital Libraries
The project LVis (Digital Library Visualizer) aims at the support of the navigation through complex information spaces. It provides a multi-modal, virtual reality interface that maps data stored in digital libraries onto an "information landscape". This landscape can then be explored by human users in a more natural manner.
Latent Semantic Analysis as well as cluster techniques are applied to extract salient semantic structures and citation patterns automatically. A modified Boltzman algorithm is used to spatially visualize co-citation patterns and semantic similarity networks of retrieved documents for interactive exploration.
The approach was implemented to visualize retrieval results from two different databases: the Science Citation Index Expanded accessed via the Web of Science (see Figure left) and the Dido Image Bank (see Figure middle and right).

(Click images for larger versions)

The right-most figure shows a scene in the 3-D CAVE environment. The images are presented at the end of crystal structures. When the navigation wand touches an image at the end of the crystal, the image will appear  in large size and the participants are surrounded by a wall of imagery to choose from.
See LVis publications for details.  Some 2-D and 3-D snapshots of the LVis interface are available online.

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Publications:

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http://ella.slis.indiana.edu/~katy/InfoVis
Last modified: 03/06/2000