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CALL FOR PAPERS
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AI Applications in Knowledge Navigation and Retrieval
AAAI Fall Symposium
MIT, Nov. 10-12, 1995
Paper submission date: April 14, 1995
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The diversity and volume of accessible on-line data is increasing
dramatically. As a result, existing tools for searching and browsing
information are becoming less effective. The increasing use of
non-text data such as images, audio and video has amplified this
trend.
Knowledge navigation systems are knowledge-based interfaces to
information resources. They allow users to investigate the contents of
complex and diverse sources of data in a natural manner. For example,
intelligent browsers that can help direct a user through a large
multi-dimensional information space, agents that users can direct to
perform information finding tasks, or knowledge-based intermediaries
that employ retrieval strategies to gather information relevant to a
user's request.
The purpose of this symposium is to examine the state of the art in
knowledge navigation by examining existing applications and by
discussing new techniques and research directions. We encourage two
types of submissions: work-in-progress papers that point towards the
future of this research area, and demonstrations of knowledge
navigation systems.
Some research issues of interest:
Indexing: What indexing methods are appropriate and feasible for
knowledge navigation systems? How can indices be extracted from data?
Retrieval: What retrieval methods are appropriate for knowledge
navigation? What retrieval strategies can be employed?
Learning: How can knowledge navigation systems adapt to a changing
knowledge environment and to user needs?
User interfaces: What are the characteristics of a useful navigational
interface? What roles can/should an "agent" metaphor play in such
interfaces? How can a navigation system orient the user in the
information space?
Multi-source integration: How can multiple data and knowledge sources
be integrated to address users' needs?
Multimedia: What are the challenges presented by multimedia information
sources?
The symposium will consist of invited talks, presentations, and
hands-on demonstration/discussion sessions. Interested participants
should submit a short paper (5-8 pages max.) addressing a research issue
in knowledge navigation or describing a knowledge navigation system
that can be made available for hands-on demonstration at the
symposium. System descriptions should clearly indicate the novel and
interesting features of the system to be presented and its
applicability to the central problems in knowledge navigation. Those
wishing to demonstrate should also include a one-page description of
their hardware and connectivity requirements.
Via email, send either a URL pointing to a postscript version of the
paper or the postscript copy itself to the address
aiakn@cs.uchicago.edu. Or, send 5 hard copies to
Robin Burke
AI Applications in Knowledge Navigation
University of Chicago, Department of Computer Science
1100 E. 58th St.
Chicago, IL 60637.
For further information, a web page for this symposium is located at
"http://www-cs.uchicago.edu/~burke/aiakn.html"
Organizing Committee:
Robin Burke (chair), University of Chicago, burke@cs.uchicago.edu
Catharine Baudin, NASA Ames
Su-Shing Chen, National Science Foundation
Kristian Hammond, University of Chicago
Christopher Owens, Bolt, Beranek & Newman
Program Committee:
Ray Bariess, Institute for the Learning Sciences
Alon Levy, AT&T Bell Laboratories
Jim Mayfield, University of Maryland, Baltimore County
Dick Osgood, Andersen Consulting
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