KDnuggets : News : 2000 : n12 : item23    (previous | next)

CFP

From: achim@cse.unsw.edu.au (Achim Hoffmann)
Date: Mon, 5 Jun 2000 17:27:11 +1000
Subject: PKAW2000 in Sydney, Australia, December 11-13, 2000
       PKAW 2000: The 2000 Pacific Rim Knowledge Acquisition Workshop
             Venue: Holiday Inn, Coogee Beach, Sydney, Australia
                     Date : Sydney, December 11-13, 2000
                          Co-located with ALT 2000
(http://www.cse.unsw.edu.au/~achim/PKAW2000)

Paper submission DEADLINE: 28 August 2000.

Contents

     Introduction
     Topics of Interest
     Participation and Submission of Papers
     Important Dates
     Instructions for Paper Submission
     Workshop Organisers
     Program Committee

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Introduction

     The objective of this workshop is to assemble theoreticians and
     practitioners concerned with developing methods and systems that assist
     the knowledge acquisition process and assessing the suitability of such
     methods. Thus, the workshop includes all aspects of eliciting,
     acquiring, modeling and managing knowledge, and their role in the
     construction of knowledge-intensive systems. Knowledge acquisition
     still remains the bottleneck for building a knowledge based system.
     Reuse and sharing of knowledge bases are major issues and no
     satisfactory solutions have been agreed upon yet. There is a wide range
     of research. Much of the work in this field has been knowledge
     acquisition from human experts. The advent of the age of digital
     information has brought the problem of data overload. Our ability to
     analyze and understand massive datasets lags far behind our ability to
     gather and store the data. A new generation of computational techniques
     and tools is required to support the acquisition of useful knowledge
     from the rapidly growing volume of data. All of these are to be
     discussed in this workshop.

     This workshop offers an opportunity to draw together both aspects of
     dealing with the situated nature of human knowledge and expertise and
     of developing methods that depend more on their algorithmic adequacy
     than on the expertise of the knowledge engineer.

Details on the web site above.

KDnuggets : News : 2000 : n12 : item23    (previous | next)

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