Artificial Intelligence in Knowledge Management
Papers from the AAAI Spring Symposium
Brian R. Gaines & Ramasamy Uthurusamy,Cochairs
Knowledge management (KM) is a topic of growing interest to large organizations. It comprises activities focused on the organization acquiring knowledge from many sources, including its own experience and from that of others, and on the effective application of that knowledge to fulfill the mission of the organization.
The knowledge management community has been eclectic in drawing from many sources for its methodologies and tools. Typical approaches to the management of knowledge are based on concept maps, hypermedia, and object-oriented databases. Techniques developed in artificial intelligence for knowledge acquisition, 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 symposium was to bring together KM practitioners and applied AI specialists from KA, KR and KDD, and attempt to formulate the potential role of various AI sub-disciplines in knowledge management.