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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 : Nada.Matta@sophia.inria.fr or Rose.Dieng@sophia.inria.fr. 
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: Andreas.Abecker@dfki.de 
 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: debenham@socs.uts.EDU.AU

Stefan Decker  
 Address:Universit�t Karlsruhe, Institut AIFB, D-76128
         Karlsruhe, Germany 
 Phone: +49 721-608 6589 
 FAX:  +49 721-693 717 
 E-mail:Stefan.Decker@aifb.uni-karlsruhe.de 
 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:  Rose.Dieng@sophia.inria.fr
 
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: oleary@almaak.usc.edu  
 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: ann.macintosh@aiai.ed.ac.uk 

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:   Nada.Matta@sophia.inria.fr  
 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: Ulrich.Reimer@swisslife.ch 
  

Program committee
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      J�r�me Euzenat, INRIA Rh�ne-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)