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Spatial Hypertext for Digital Library Users

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Lexical = fixed syntax- extract words from a stream- find semantics. Spatial = unknown syntax- extract patterns from a space- process patterns to find semantics ... – PowerPoint PPT presentation

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Title: Spatial Hypertext for Digital Library Users


1
Spatial Hypertext for Digital Library Users
  • George Buchanan, Ann Blandford,
  • Matt Jones, Harold Thimbleby
  • Interaction Design Centre
  • Middlesex University
  • London

2
History Lessons
  • Those who fail to learn from history are
    condemned to repeat its mistakes
  • Economics
  • Users dont want to do any extra work
  • however, they are happy to get extra benefits
    for free
  • e.g. Amazons customer profiling

3
Information Seeking
  • Wider process than vanilla Information
    Retrieval
  • Information need formulation
  • Search formulation
  • IR
  • Document review and selection
  • Information need reformulation
  • Highly iterative / Internally complex

4
Spatial Hypertext
  • Direct manipulation
  • Document shown as a graphical item
  • Uses visual cues (e.g. colour. shape) to suggest
    a documents role, type, age...
  • Articulates uncertain and/or provisional nature
    of document groupings
  • Documents can be grouped
  • By proximity etc. or by hierarchy

5
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6
Spatial Hypertext State of Play
  • Positive outcomes to user studies
  • For supporting decision argumentation
  • For supporting information triage
  • Often loosely (if at all) connected to
    information systems
  • Search behaviours are poorly defined
  • Hard versus soft behaviours not well understood

7
Spatial Parsing
  • Introduced by Shipman in 1995
  • Not a lexical parser
  • Lexical fixed syntax-gtextract words from a
    stream-gtfind semantics
  • Spatial unknown syntax-gtextract patterns from a
    space-gtprocess patterns to find semantics

8
Garnet
  • Spatial Hypertext for Digital Libraries
  • Connects to the Greenstone DL using the
    Greenstone/CORBA protocol
  • Similar to VIKI

9
GarnetSpatial Parsing
  • Currently has a simple (proximity) spatial
    parser
  • Connects to a clustering system
  • Gives a cluster profile for every pattern found
  • Incoherent patterns are ignored
  • Small patterns are ignored
  • Double-click on label open in browser

10
GarnetSpatial Parsing
  • A search result can be scattered
  • Placing search result labels next to groups of
    similar documents
  • A document may appear next to no, one or many
    groups
  • Search result list appears as usual
  • Using user organisation of material to predict
    the role of future candidate documents

11
Garnet - Search
  • You can drag from search results to workspace
  • Items can be deleted from search results
  • Keeps a history

12
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13
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14
Garnet - User Issues
  • Common metaphors seem inconsistent
  • e.g. deleting a document blacklisting versus
    returning
  • User control versus automatic action
  • Scattering
  • Is it useful? Is the quality right?
  • representation of certainty
  • positioning

15
Conclusion
  • A lot of work to be done
  • Far more questions than answers
  • User evaluation needed
  • Speed/space concerns with spatial parser
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