Workshop on  Knowledge Management and Organizational Memories

Important Dates |Submission Procedure |Topics
Organizing Committee |Programme Committee

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 is distributed 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:

  • 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

     Submission Procedure

    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 or HTML or pdf)  to the contact persons: and 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

    Stefan Decker
    Address:  Universität Karlsruhe, Institut AIFB, D-76128 Karlsruhe, Germany
    Phone: +49 721-608 6589
    Fax: +49 721-693 717

    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

    Knut Hinkelmann
    Address: Insiders GmbH
    Luxemburger Str.5
    D-67657 Kaiserslautern
    Phone: +49-631-36699-37
    Fax: +49-631-36699-11

    Ann Macintosh
    Address: International Teledemocracy Centre
    Napier University
    10 Colinton Road
    Edinburgh, EH10 5DT
    United Kingdom
    Phone: ++44 (0) 131 455 2421
    FAax +44 (0) 131 455 2282

    Nada Matta (Co-Chair)
    Address: Université de Technologie de Troyes (GSID/Tech-CICO)
    12, rue Marie Curie BP. 2060,
    10010 Troyes Cedex France
    Tel: (+33) 3 25 71 58 65

    Juergen Mueller
    Deutsche Telekom AG
    Technologiezentrum Darmstadt FE14k
    D-64307 Darmstadt
    Phone: +49 6151 83 5682
    Fax: +49 6151 83 4124
    E-mail : (Telekom AG) (Überall)

    Agostino Poggi
    Address:  Dipartimento di Ingegneria dell?Informazione
    University of Parma
    Parco Area delle Scienze, 181A
    43100, Parma, Italy
    Phone :  +39 0521 905728
    FAX  +39 0521 905723
    E-mail :

    Ulrich Reimer
    Address: Swiss Life Information Systems Research Group Postfach
    CH-8022 Zurich, Switzerland
    Phone: +41 1 7114061
    FAX: +41 1 7116913

    Carla Simone
    Dipartimento di Informatica - Universita' di Torino
    Corso Svizzera 185 - 10149 Torino (Italy)
    phone: +39 011 6706736
    fax: +39 011 751603

    Steffen Staab
    Address: Institute AIFB,
    Karlsruhe University,
    D-76128 Karlsruhe, Germany
    Phone: +49-721-6084751
    Fax: +49-721-693717

    Program committee