The road ahead for knowledge management - An AI perspective

Citation
Rg. Smith et A. Farquhar, The road ahead for knowledge management - An AI perspective, AI MAG, 21(4), 2000, pp. 17-40
Citations number
31
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
AI MAGAZINE
ISSN journal
07384602 → ACNP
Volume
21
Issue
4
Year of publication
2000
Pages
17 - 40
Database
ISI
SICI code
0738-4602(200024)21:4<17:TRAFKM>2.0.ZU;2-D
Abstract
Enabling organizations to capture, share, and apply the collective experien ce and know-how of their people is seen as fundamental economy. As a result , there has been a wave of enthusiasm and activity centered on knowledge ma nagement. To make progress in this area, issues of technology, process, peo ple, and content must be addressed. In this article, we develop a road map for knowledge management. It begins with an assessment of the current state of the practice, using examples dra wn from our experience at Schlumberger. It then sketches the possible evolu tion of technology and practice over a 10-year period. Along the way, we hi ghlight ways in which AI technology, present and future, can be applied in knowledge management systems.