CFP

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UAI-2000 Workshop on Fusion of Domain Knowledge
            with Data for Decision Support
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         Stanford University, June 30, 2000

           >>> Final Call for Papers <<<

Statistics and inductive machine learning are data-oriented tasks in which
domain models are induced from data, but databases are not the only
resource from which models can be derived. Domain knowledge is still an
important resource, and refinements in knowledge engineering have made the
construction of knowledge-based systems more tractable. But when both data
and domain knowledge are available, how can these two resources be used
together for the construction of decision support systems?

The aim of the one-day workshop is to critically examine current approaches
to integrating domain knowledge with data (knowledge-data fusion) and
identify future areas of research. The emphasis is on sound theoretical
frameworks rather than ad hoc approaches.

Topics of interest include (but are not limited to):
* Practical applications of knowledge-data fusion. What lessons have been
learnt from attempts to apply knowledge-data fusion to real-world decision
problems?
* How are the various knowledge representation and inference frameworks
that permit induction theoretically related to each other?
* What frameworks enable an existing induced model, such as a neural
network, to be incorporated into a proposed knowledge-based system?
* How can knowledge-data fusion be applied to temporal data?

Contributions describing work in progress as well as position papers are
invited. Of particular interest are papers that combine theoretical
discussion with practical examples, and papers that compare different
approaches.

The workshop will interest researchers working in artificial intelligence
(uncertainty reasoning, machine learning, and knowledge engineering),
decision theory, and statistics.

The papers presented at the workshop will be published as Workshop Notes.
Authors of the more interesting papers will be invited to write full-length
versions to be published in a special issue of the International Journal of
Uncertainty, Fuzziness, and Knowledge-Based Systems.

Timetable
--------------
Electronic submission of full papers: March 31, 2000
Author notification of accepted papers: April 28, 2000
Final Version of accepted papers: May 26, 2000

Organizing Committee
--------------------------------
Richard Dybowski (King's College London) [contact point]
James Myers (Ballistic Missile Defense Organization (BMDO) TOR)
Simon Parsons (University of Liverpool)

Additional information can be found at
http://www.umds.ac.uk/microbio/richard/kdf2000/main.html

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