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Document Visualization at UMBC

Document Visualization at UMBC. Penny Rheingans October 2002. Goals. Provide powerful and flexible visual representations of document data in order to facilitate exploration and explanation

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Document Visualization at UMBC

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  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 • 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

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

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

  7. 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)

  8. 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

  9. 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

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

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

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

  13. 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

  14. 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

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

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