Workshop on
Using AI to Enable
Knowledge Management

13th December 1999
Cambridge, UK

In conjunction with the:
19th SGES International Conference on
Knowledge Based Systems and Applied Artificial Intelligence
(ES 99)

Peterhouse College, Cambridge, UK
December 13th-15th 1999

How can Artificial Intelligence techniques be extended to support Knowledge Management?

Enterprises are realising how important it is to "know what they know" and be able to make maximum use of their knowledge. This knowledge resides in many different places such as: databases, knowledge bases, filing cabinets and peoples' heads and are distributed right across the enterprise. All too often one part of an enterprise repeats work of another part simply because it is impossible to keep track of, and make use of, knowledge in other parts. Enterprises need to know:

  • what their knowledge assets are;
  • how to manage and make use of these assets to get maximum return.

Most traditional company policies and controls focus on the tangible assets of the company and leave unmanaged their important knowledge assets.

There are many problems associated with identifying these knowledge assets and being able to use them and manage them in an efficient and cost-effective manner. Enterprises need:

  • to have an enterprise-wide vocabulary to ensure that the knowledge is correctly understood;
  • to be able to identify, model and explicitly represent their knowledge;
  • to share and re-use their knowledge among differing applications for various types of users;
  • this implies being able to share existing knowledge sources and also future ones; and
  • to create a culture that encourages knowledge sharing.

Artificial Intelligence and Knowledge Engineering in particular have come a long way towards addressing the use of a company's knowledge assets. They provide disciplined approaches to designing and building knowledge-based applications. There are tools to support the capture, modelling, validation, verification and maintenance of the knowledge in these applications. The question is how can these methods and tools be extended to support the processes for managing knowledge at all levels within the organisation?

Topics of interest include (but are not limited to):

  • Knowledge management methods
  • Techniques for developing organisational memories
  • Knowledge management over Internets, Intranets and Extranets
  • Knowledge management and information management
  • Multimedia solutions for knowledge management
  • Collaborative working environments and groupware
  • Software Architectures for knowledge management systems
  • Knowledge sharing and re-use
  • Data mining techniques for knowledge management
  • Workflow techniques to support knowledge management
  • Sharable ontologies and reusable problem-solving methods for knowledge management
  • Case studies of applications for knowledge management

Important dates

Submission deadline: November 15th 1999
Notification of acceptance: November 22nd 1999
Web-ready papers:  December 1st 1999
Workshop: December 13th 1999

Submission Procedure

Contributions are invited in the form of full papers and case studies (max. 5000 words) or discussion topics (approx. 300 words). The title page should include name, affiliation, and e-mail address of the contributor. Papers, case studies and discussion topics will be judged on their contribution and relevance to the workshop. Some papers and case-studies will be selected for presentation at the workshop.

Papers, case-studies and discussion topics should be submitted electronically (in PostScript, Acrobat PDF, MS Word or RTF) to Ian Watson by November 15th 1999.

The proceedings will be published on the WWW and will be supported by an online discussion forum.

Attendance

This workshop is open to members of the AI or Knowledge Management communities (both industry and academic). To ensure a creative atmosphere, attendance will be strictly limited. Therefore, if you wish to attend but are not submitting a paper, case-study or discussion topic, please reserve a place early to avoid disappointment.

Organising committee

© 1999 SGES

Last updated October 5th 1999