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[ba-unrev-talk] Visualizing a Knowledge Domain's Intellectual Structure & Computer Supported Collaborative Writing

>From <  http://www.warriorsofthe.net/misc/links.html > with a link to
<  http://www.cybergeography.org/ >, I found:    (01)

Chen, C. & Paul, R. J. (March 2001) Visualizing a knowledge domainís
intellectual structure. IEEE Computer, 34(3), 65-71.
<  http://www.brunel.ac.uk/~cssrccc2/papers/ieeecomputer2001.pdf >    (02)

"To make knowledge visualizations clear and easy to interpret, the
authors have developed a method that extends and transforms traditional
author co-citation analysis (ACA) by extracting structural patterns from
the scientific literature and representing them in a 3D knowledge
landscape. Integrating citation and co-citation patterns provides a
rich, ecological representation of a knowledge domain. Users can apply
visualizations to discover patterns and make valuable connections among
data. The authors' approach extends conventional ACA by integrating
structured modeling and information visualization techniques to provide
a 3D knowledge landscape based on citation patterns. Their four-step
procedure introduces Pathfinder network scaling to replace
multidimensional scaling. It also integrates Pathfinder and factor
analysis to visualize specialties in the underlying domain knowledge and
visualizes the citation frequency of scientists to track changes in
their influence over time. This knowledge visualization approach
identifies intellectual groupings based on extending the traditional
ACA, augmenting the existing document- and concept-centered approaches
to knowledge visualization. The 3D knowledge landscape has practical
implications in knowledge visualization, digital libraries, domain
analysis, and subject domains, providing powerful tools for tracking
intuitively scientific knowledge."    (03)

Prototypes & Papers about Computer Supported Collaborative Writing
< http://www.brunel.ac.uk/~cssrccc2/#prototype>    (04)

August 2000 Gallery
(24 Figures are grouped into the following 8 categories):    (05)

1. How it began
2. Visualising semantic spaces
3. Visualising an information space of hetergenouse entities
4. Visualising the intellectual structure of a subject domain
5. Mapping a high-dimensional space of specialties
6. Landscape of a field of study
7. Visualising the similarity of images
8. Visual exploration in content-based image retrieval
<  http://www.brunel.ac.uk/~cssrccc2/papers/gallery2000aug.pdf >    (06)