Magazine article AI Magazine

AAAI-97 Workshop on AI and Knowledge Management

Magazine article AI Magazine

AAAI-97 Workshop on AI and Knowledge Management

Article excerpt

The Workshop on AI and Knowledge Management, held at the Fourteenth National Conference on Artificial Intelligence (AAAI97), focused on knowledge structure, the interaction of distinct knowledge sources, and the relevance of knowledge to a particular problem. AI research has investigated many of these areas for some time. However, the demands of knowledge management systems place different constraints on the problems. The purpose of the workshop was to explore how AI can contribute to the emerging area of knowledge management.

Knowledge management is concerned with systematically and actively creating, collecting, managing, and leveraging the knowledge and information in an organization. This knowledge often is unstructured, scattered, inconsistent, and incomplete. However, if made available in the proper context, it is relevant to solving business problems. Knowledge management involves people, content, process, and technology. AI research obviously has much to contribute to the technology aspects of knowledge management, but it can also provide insight into the content that might be most beneficial.

As many questions were raised in this workshop as were answered, which is expected in a new area. Many questions centered on how much structure should be imposed on knowledge bases and what the appropriate kinds of structure are. Much of the knowledge in business is in the form of documents that contain little (formal) structure. Forcing knowledge creators to use a formal structure improves the usability of the knowledge but constrains the creation process. Based on the realization that it is impractical to force such constraints on users, the matter becomes what the most useful structure is to add. Some participants illustrated how small amounts of structure can provide important benefits in knowledge retrieval.

Other issues centered on evaluating the relevance of knowledge and determining when to present information to a user. …

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.