1. Document Visualization at UMBC
Penny Rheingans
October 2002

2. Goals
Provide powerful and flexible visual representations of document data in order to facilitate exploration and explanation
Develop novel information visualization and interaction techniques applicable to a wide range of document types

3. Document Metadata Date Relevance Topic Provenance Whatever
multiple measures
Topic
multiple keywords
Provenance
Whatever

4. Information Visualization Toolkit
Glyph-based visualization of document by metadata
Glyph per document
Metadata values mapped interactively to
3D position
Color
Size
Opacity
Interactive 3D viewing
Built on vtk with tcl/tk interface

8. Recent Advances Implemented on both irix and linux platforms
Automatic and flexible scaling
Basic clustering

10. Ongoing Efforts Additional platforms Performance enhancements
Picking and probing
Dynamic update
Closer integration with IR engines
Application to intrusion detection

14. New Directions for ivtk
Additional visualization techniques, possibly
Additional dimension reduction methods
Parallel coordinates
Improved user interface with expanded interaction modes (carried out as part of LUCITE task)
Address issues of scale
Provide both context and detail on demand
Filtering of data items
Generalization and summary representations
Glyphs for composite objects
Hierarchical viewing modes (LUCITE)

15. Filtering of Data Items
Select which individual items to show
Drastically reduce number of items displayed
Subsetting mechanisms
Interactive value-based selection
Stochastic sampling
Select how to show individual items
Direct attention to match interest
Modulate appearance of items

16. Emphasis Filter Approach
Treat match to target as variable
Map to perceptually-based parameter or alter base mapping
Interaction capabilities
dynamic control of view
dynamic control of some visualization parameters
Previous SFA-based prototype

19. Personal Profiles Individual weightings for documents
flexible
audience-specific
interactive
Supplement to precomputed relevance
simple measures
computed dynamically

20. Matching Mechanisms Value Requirement Composite Threshold Window
multiple factors
fuzzy matches
Threshold
significance levels
Window
focus area

21. Future Directions in Filtering
Revive prototype
Extend to include profile mechanism
profile construction and manipulation
matching metric specification
Integrate with ivtk

22. Summary Representations
Convey overview of corpus structure without showing each individual document
Possibilities
Visualization processes to create and render aggregates
Splatting or other implicit representations
Isosurfaces or volume rendering
Explicit analysis to characterize structure

23. Glyphs for Composite Objects
Extend glyph representation to apply to composite objects
Collections
Clusters
Information of interest about composites
Mean variable value
Variable range/variability
Number of component objects

24. Composite Metaphors
Display mean and variability information in consistent manner
Position
Color
Some visual attributes dedicated to supporting other display parameters
Opacity
Shape