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