The Community for Technology Leaders
RSS Icon
Issue No.01 - January/February (2001 vol.16)
pp: 36-43
In recent years the term knowledge management has been used to describe the efforts of organizations to capture, store, and deploy knowledge. Most current knowledge management activities rely on database and Web technology; currently, few organizations have a systematic process for capturing knowledge, as distinct from data. The authors present a case study where knowledge engineering practices support knowledge management by a drilling optimization group in a large service company. The case study illustrates three facets of the knowledge management task: First, knowledge is captured by a knowledge acquisition process that uses a conceptual model of aspects of the company's business domain to guide the capture of cases. Second, knowledge is stored using a knowledge representation language to codify the structured knowledge in a number of knowledge bases, which together constitute a knowledge repository. Third, knowledge is deployed by running the knowledge bases in a knowledge server, accessible by on the company intranet.
Alun Preece, Alan Flett, Derek Sleeman, David Curry, Nigel Meany, Phil Perry, "Better Knowledge Management through Knowledge Engineering", IEEE Intelligent Systems, vol.16, no. 1, pp. 36-43, January/February 2001, doi:10.1109/5254.912383
9 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool