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Knowledge Management (KM) has been a predominant trend in business in the recent years. Not only is Knowledge Management an important field of application for mature AI and related technologies, such as CBR for intelligent lessons-learned systems, or Text Classification for Information Push services; it also provides new challenges to the AI community, like context-aware knowledge delivery. Scaling-up research prototypes to real-world solutions usually requires an application-driven integration of several basic technologies, e.g., ontologies for knowledge sharing and reuse, collaboration support like CSCW systems, and personalized information services. Typical characteristics to be dealt with in such an integration are:
Agent approaches have
already
been successfully employed for many partial solutions within the
overall
picture: Agent-based workflow, cooperative information gathering,
intelligent
information integration, or personal information agents, are
established
techniques in this area. In order to cope with the inherent complexity
of a more
comprehensive solution, the concept of Agent-mediated Knowledge
Management
(AMKM) deals with collective aspects of the domain in an attempt to
cope with
the conflict between desired order and actual behavior in dynamic
environments.
AMKM introduces a social
layer, which structures the society of agents by defining specific
roles and
possible interactions between them.
In this workshop we invite contributions which
illustrate methodological, technical and application aspects of
Agent-mediated
Knowledge Management.
Topics of
interest include:
Submission of papers to workshop organizers | 01. April 2004 |
Author notification | changed: 17. May 2004 |
Camera ready papers back to workshop organizers | 01. June 2004 |
Last update of this page: February 02, 2004