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.
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
Submission deadline: | March 15, 1999 |
Notification of acceptance: | April 27, 1999 |
Camera (Web)-ready: | May 27, 1999 |
Workshop: | July 31-August 2 1999 |
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.
Andreas Abecker
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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 |
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Stefan Decker
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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 |
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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 |
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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 |