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Sixteenth International Joint Conference on Artificial Intelligence
                                  IJCAI-99
     City Conference Center, Stockholm, Sweden, Monday, August 2, 1999

     IJCAI Workshop on
Knowledge Management and Organizational Memories

Call for Papers

http://www.inria.fr/acacia/WORKSHOPS/IJCAI99-OM
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Knowledge Management (KM) is one of the key progress factors in organizations.
 It involves explicit and persistent representation of knowledge of
(geographically) dispersed groups of people in the organization, so as to
improve the activities of the organization. Although KM is an issue in human
resource management and enterprise organization beyond any specific
technology questions, there are important aspects that can be supported or
even enabled by intelligent information systems.
Especially AI and related
fields provide solutions for important parts of the overall KM problem.

      Identification and analysis of a company's knowledge-intensive work
processes (e.g., product design or strategic planning). Knowledge Engineering
and Enterprise Modeling techniques can contribute to this topic. The analysis
of information flow and involved knowledge sources allows to identify
shortcomings of business processes, and to specify requirements on potential
IT support.
        
      In an organization, know-how may relate to problem solving expertise in
functional disciplines, experiences of human resources, and project experiences
in terms of project management issues, design technical issues and lessons
learned. The coherent integration of this dispersed know-how in a corporation,
aimed at enhancing its access and reuse, is called "corporate memory" or
"organizational memory" (OM). It is regarded as the central prerequisite for
IT support of Knowledge Management and is the means for knowledge conservation,
distribution, and reuse. An OM enables organizational learning and continuous
process improvement.

Activities underlying knowledge management in an organization can comprise
detection of needs, construction, distribution, use and maintenance of the
corporate memory. It demands abilities to manage disparate know-how and
heterogeneous viewpoints, to make it accessible and suitable for adequate
members of
the organization. When the organization knowledge isdistributed on several
experts and documents in different locations all over the world, the Internet
or an Intranet inside the organization and World Wide Web (WWW) techniques can
be a privileged means for acquisition, modelling, management of this
distributed knowledge. Papers are welcome in any area concerning knowledge
management or corporate memory or organizational memory.

Topics of interest include:
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     - Dimensions of knowledge management: organization, competence,
methodology, ...
     - Enterprise modeling
     - Artificial Intelligence methods or techniques for construction of
computational corporate memories (knowledge bases, case bases,
intelligent documentary systems, agent-based systems...)
     - Business Intelligence Solutions for KM
     - Intranet Solutions for KM
     - Document Management Solutions for KM
     - MultiMedia solutions for KM
     - Content Management solutions for KM
     - Architectures for KM/OM systems
     - Integration of formal and informal knowledge in KM/OM
     - Integration of knowledge from different groups in an organization
     - Knowledge sharing between different groups in an organization
(possibly via Internet/Intranet)
     - Cooperative (possibly WWW-based) building, adaptation and evolution of
a corporate memory
     - WWW-based repositories for sharable ontologies and reusable
problem-solving methods
     - WWW-based terminology servers
     - Assessment of concrete applications for knowledge management
     - Case studies of building KM/OM in enterprises
     - Active, context-dependent knowledge supply

  

Important dates
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       Submission deadline: March 15, 1999
       Notification of acceptance: April 27, 1999
       Camera (Web)-ready: May 27, 1999
       Workshop: July 31-August 2 1999


Submission Procedure
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Contributions are invited in the form of a full paper (max. 20 pages). The
title page should include name, affiliation, and e-mail address of the
contributor. Papers will be judged on their contribution to the discussion,
and some will be selected for
presentation.

Papers have to be submitted electronically (in PostScript and HTML) to the
contact persons : [log in to unmask] or [log in to unmask]
The proceedings will be published on the WWW and as a report.

We plan to schedule a demonstration session during the workshop. So
demonstrations (industrial or research prototypes) are also welcome.
  

Organizing committee
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Andreas Abecker
 Address: DFKI GmbH, Postfach 2080, D-67608
         Kaiserslautern, Germany
 Phone: +49 631 205-3456
 FAX: +49 631 205-3210
 E-mail: [log in to unmask]
 WWW: http://www.dfki.uni-kl.de/~aabecker/
 
John Debenham
 Address: Computing Sciences, University of Technology,
 Sydney
 PO Box 123, Broadway, NSW 2007, Australia
 Phone: +61 2 330 1837
 FAX: +61 2 330 1898
 E-mail: [log in to unmask]

Stefan Decker
 Address:Universität Karlsruhe, Institut AIFB, D-76128
         Karlsruhe, Germany
 Phone: +49 721-608 6589
 FAX: +49 721-693 717
 E-mail:[log in to unmask]
 WWW: http://www.aifb.uni-karlsruhe.de/~sde

Rose Dieng (Co-Chair)
 Address: INRIA Acacia Project, 2004 route des Lucioles, BP 93
  06902 Sophia-Antipolis Cedex FRANCE
 Phone: +33 4 92 38 78 10
 FAX: +33 4 92 38 77 83
 E-mail: [log in to unmask]
 
Daniel E. O'Leary
 Address: University of Southern California, 3660 Trousdale
 Parkway, Los Angeles,CA 90089-1421
 Phone: +1 213-740-4856
 FAX: +1 213-747-2815
 E-mail: [log in to unmask]
 WWW: http://www-rcf.usc.edu/~oleary

Ann Macintosh
 Address: Artificial Intelligence Applications Institute
The University of Edinburgh 80 South Bridge Edinburgh EH1
        1HN United Kingdom
 Phone: +44 131 650 2732
 FAX: +44 131 650 6513
 E-mail: [log in to unmask]

Nada Matta (Co-Chair)
 Address: INRIA-ACACIA BP. 93, 2004 Route des Lucioles,
 Sophia-Antipolis, France
 Phone: +33 4 92 38 78 73
 FAX: +33 4 92 38 77 83
 E-mail: [log in to unmask]
 WWW: http://www.inria.fr/acacia/personnel/nmatta/nada.html

Ulrich Reimer
 Address: Swiss Life Information Systems Research Group
          Postfach CH-8022 Zurich, Switzerland
 Phone: +41 1 7114061
 FAX: +41 1 7116913
 E-mail: [log in to unmask]
  

Program committee
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      Jérôme Euzenat, INRIA Rhône-Alpes (Grenoble, France)
      Knut Hinkelmann, DFKI (Kaiserslautern, Germany)
      Frank Maurer, University of Calgary (Canada)
      Myriam Ribiere, INRIA-ACACIA (Sophia-Antipolis, France)
      Rudi Studer, University of Karlsruhe, (Germany)
      Mark Ackerman, University of California, Irvine (USA)
      Jeff Conklin, Corporate memory systems (USA)
      Carla Simone, University of Torino (Italy)
      Rose Dieng, INRIA-ACACIA (Sophia-Antipolis, France)
      Nada Matta, INRIA-ACACIA (Sophia-Antipolis, France)
      Andreas Abecker, DFKI Gmbh (Kaiserslautern, Germany)
      John Debenham, University of Technlology (Sydney, Australia)
      Stefen Decker, AIFB University of Karlsruhe (Karlsruhe , Germany)
      Daniel O'Leary, University of South California (Los Angeles, USA)
      Ann Macintosh, University of Edinburgh (Edinburgh, UK)
      Ulrich Reimer, Swiss Life Information Systems Research Group ( Zurich,
Switzerland)
       

  















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