[comp.ai] CFP

john@bcsaic (John Boose) (01/08/90)

  FIRST JAPANESE KNOWLEDGE ACQUISITION FOR KNOWLEDGE-BASED SYSTEMS
  WORKSHOP

                    Co-Sponsored by
          Advanced Research Laboratory, Hitachi, Ltd.
          Kansai Institute of Information System

                    In Cooperation with
          American Association for Artificial Intelligence
          Information Processing Society of Japan
          Japanese Society for Artificial Intelligence
          Japan Society for Software Science and Technology
          The Institute of Electronics, Information and Communication
          Engineers


          Kyoto International Conference Hall (Kyoto)
                      October 25 - 26, 1990

          Advanced Research Laboratory, Hitachi Ltd. (Tokyo)
                      October 29 - 31, 1990

A problem in the process of building knowledge-based systems is
acquiring and modeling appropriate problem-solving knowledge. The
objective of this workshop is to assemble theoreticians and
practitioners of AI who recognize the need for developing methods and
systems that assist the knowledge acquisition process.

The workshop will be in two parts: a two-day open meeting in Kyoto and
three-day closed workshop in Tokyo.  To encourage vigorous interaction
and exchange of ideas the closed workshop will be kept small - about
40 participants, one author for each paper accepted.  Some papers will
be presented at the open meeting and the remainder in the closed
workshop. There will be Tutorial and invited talk sessions in the open
workshop.


Papers are invited for consideration in all aspects of knowledge
acquisition for knowledge-based systems, including (but not restricted
to):

o Transfer/modeling of expertise - systems that obtain and model
  knowledge from experts.
o Transfer/modeling of expertise - manual knowledge acquisition
  methods and techniques.
o Apprenticeship, explanation-based, and other learning systems;
  integration of such systems with other knowledge acquisitIon
  techniques.
o Methods for capturing design knowledge and requirements
o Issues in cognition and expertise that affect the knowledge
  acquisition process.
o Extracting and modeling of knowledge from text.
o Eliciting and modeling knowledge from multiple sources.
o Integration of knowledge acquisition techniques within a single
  system; integration of knowledge acquisition systems with other
  systems (hypermedia, database management systems, simulators,
  spreadsheets...).
o Knowledge acquisition methodology and training.
o Validation of knowledge acquisition techniques; the role of
  knowledge acquisition techniques in validating knowledge-based
  systems.

Five copies of a draft paper (up to 20 pages) should be sent to
Hiroshi Motoda before February 28th, 1990. Acceptance notices will be
mailed by May 30th. Camera-ready copies should be returned before
August 15th. A preprint volume will be distributed at the workshop.

There will be travel-and-expense awards for the best paper submitted
by students from overseas countries to cover a part of their travel
expenses. Please note if the paper should be considered for this
award.


Workshop Co-chairmen:

John Boose                         Brian Gaines
Advanced Technology Center         Department of Computer Science
Boeing Computer Services           University of Calgary
john@boeing.com                    gaines@calgary.cdn

Hiroshi Motoda                     Riichiro Mizoguchi
Advanced Research Laboratory       Institute of Scientific and
Hitachi, Ltd.                      Industrial Research
Kokubunji, Tokyo 185, Japan        Osaka University
motoda@harl.hitachi.co.jp          miz@ei.sanken.osaka-u.ac.jp


International Program Committee

Tom Addis, University of Reading, UK
Guy Boy, Centre d'Etudes et de Recherches de Toulouse, France & NASA AMES
Jeffrey Bradshaw, Boeing Computer Services
B. Chandrasekaran, Ohio State University
William Clancey, Institute for Research on Learning, CA
Jean-Gabriel Ganascia, University Pierre et Marie Curie, France
Thomas Gruber, Stanford University
Koichi Hori, University of Tokyo
Nancy Johnson, Brunel University, UK
Georg Klinker, Digital Equipment Corp.
Shigenobu Kobayashi, Tokyo Institute of Technology
Yves Kodratoff, CNRS, France, & George Mason University
Marc Linster, GMD. Bonn, Germany
John McDermott, Digital Equipment Corporation
Ryszard Michalski, George Mason University
Katharina Morik, GMD, Bonn, Germany
Toyoaki Nishida, Kyoto University
Mark Musen, Stanford University
Bruce Porter, University of Texas at Austin
Ross Quinlan, Sydney University, Australia
Alain Rappaport, Neuron Data, USA
Mildred Shaw, University of Calgary
Hirokazu Taki, Institute for New Generation Computer Technology
Masanobu Watanabe, NEC Corporation
Bob Wielinga, University of Amsterdam, Holland
-- 
Good health is merely the slowest rate at which one can die.

humphrey@suesun.nlm.nih.gov (Susanne M Humphrey) (04/06/91)

                 2nd ASIS Workshop on Classification Research
                Organized by the ASIS Special Interest Group on
                       Classification Research (SIG/CR)

                            Call for Participation

The American  Society  for  Information  Science  Special   Interest  Group  on
Classification Research  (ASIS  SIG/CR)  invites  submissions for  the 2nd ASIS
Classification Research (CR) Workshop, to be held at the 54th Annual Meeting of
ASIS in Washington, DC.   The  Workshop will  take place  Sunday, October 27th,
1991, 8:30 a.m.  - 5:00 p.m.  ASIS '91 continues through Thursday, October 31.

The CR Workshop is designed to be an exchange of  ideas among  those engaged in
active research   or  practice   in  the   creation,  development,  management,
representation, display, comparison, compatibility, theory,  and application of
classification schemes.    Emphasis  will  be  on  semantic  classification, in
contrast to statistically-based schemes.  Topics  include, but  are not limited
to:

- Warrant for concepts in classification schemes.
- Concept acquisition.
- Basis for semantic classes.
- Automated techniques to assist in creating classification schemes.
- Statistical techniques used for developing  explicit,  nonstatistically-based
  semantic classes.
- Relations and their properties.
- Inheritance and subsumption.
- Knowledge representation schemes.
- Classification algorithms.
- Procedural knowledge in classification schemes.
- Reasoning with classification schemes.
- Software for managing classification schemes.
- Data structures and programming languages for classification schemes.
- Comparison and compatibility between classification schemes.
- Previously-named topics, highlighting  specific applications  such as subject
  analysis, database   navigation,  information   retrieval,  natural  language
  understanding, expert systems, and image processing.

The CR Workshop welcomes submissions from various disciplines.  Attendance will
be by invitation only.  Those interested in participating are invited to submit
a short (1-2 page single-spaced) position paper,  summarizing their substantive
work in  the  above  areas  or other  areas related  to semantic classification
schemes,   and  a  statement  briefly  outlining  the  reason  for  wanting  to
participate in  the  workshop.   Submissions  may include  background papers as
attachments.  Those selected as presenters will  be invited  to submit expanded
versions of  their  position  papers  and  to  speak  to those  papers in brief
presentations during  the  workshop.   All  position papers  (both expanded and
short papers) will be published in proceedings to  be distributed  prior to the
workshop.  The workshop registration fee is $30.00  per person,  and includes a
copy of the proceedings and lunch and refreshments.

Submissions should be sent by email, or diskette accompanied by  paper copy, or
paper copy only (fax or postal), to arrive by May 1, 1991, to Barbara Kwasnik:

Barbara Kwasnik, Co-Chair                Raya Fidel, Co-Chair
School of Information Studies            Graduate School of Library and
4-206 Center for Science and Technology    Information Science
Syracuse University                      University of Washington, FM-30
Syracuse, NY 13244                       Seattle, WA 98195
Internet: bkwasnik@suvm.acs.syr.edu      Internet: fidelr@vax1.u.washington.edu
Phone: (315) 443-2911                    Phone: (206) 543-1888
Fax: (315) 443-5806