AAAI Spring Symposium
Artificial
Intelligence
in KnowledgeManagement
Stanford University
March24-26, 1997
From: AAAI Technical Report SS-97-01. Compilation copyright © 1997, AAAI (www.aaai.org). All rights reserved.
Organizing Committee
Rose Dieng (INRIA, France),
Brian R. Gaines (Co-Chair, University of Calgary, Canada),
Gertjan van Heijst (KenniscentrumCIBIT, The Netherlands),
DicksonLukose (University of NewEngland, Australia),
Frank Maurer(University of Kaiserslautern, Germany),
MarkA. Musen(Co-Chair, Stanford University, USA),
RamasamyUthurusamy (Co-Chair, General Motors, USA).
Objectives
KnowledgeManagement(KM)is a topic of growing interest to large organizations.
comprises activities focused on the organization acquiring knowledge from many
sources, including its ownexperience and from that of others, and on the effective
application of that knowledge
to fulfill the mission of the organization.
The knowledgemanagementcommunityhas been eclectic in drawing from manysources
for its methodologiesand tools. Typical approaches to the management
of knowledgeare
based on concept maps, hypermedia and object-oriented
databases. Techniques
developed in artificial intelligence for knowledgeacquisition, representation and
discovery are seen as relevant to KM.However,there is as yet no unified underlying
theory for KM,and the scale of the problem in large organizations is such that most
existing AI tools cannot be applied in their current implementations.
The objective of this symposiumis to bring together KMpractitioners and applied AI
specialists from KA,KRand KDD,and attempt to formulate the potential role of various
AI sub-disciplines in knowledgemanagement.