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Knowledge Management (KM).
Knowledge
Why KM
Knowledge paradigm
Knowledge society
KM parameters
KM models
KM tools
Knowledge management (KM) applications
Knowledge organisation
Knowledge representation
KM systems
(KM systems design)
Resumé
We have in this lecture clarified and exemplified what the practical
implications will be as we transform our society from handling old fashioned information to handling what we can call digital knowledge. The main emphasis was on
- what new tools can we expect to use and develop to efficiently handle digital knowledge
- how will the transformation to knowedge society impact exisiting paradigms and values concerning organisations, working methods, collaboration, project definitions and outcome, models needs, and new tools
- we have explained existing and forthcoming mainstream devlopment within the area
References
Delivered material
- Christiansson, P, 1998, " Using Knowledge Nodes for Knowledge Discovery
and Data Mining." Published in: Lecture Notes i Artificial Intelligence 1454. Ian Smith (Ed.).
"Artificial Intelligence in Structural Engineering. Information Technology for
Design, Collaboration, Maintenence, and Monitoring." Springer-Verlag Berlin Heidelberg
1998. (pp. 48-59).
http://it.civil.auc.dk/it/reports/ascona_98/ascona98.html
- Christiansson P, 1997, "Experiences from developing a Building Maintenance Knowledge Node."
CIB Proceedings W78 Workshop, Cairns 9 - 11 July 1997, 'Information Technology Support for Construction'
Process Re-Engineering, IT-CPR-97'. Cairns, Australia July 9-11, 1997. (pp.89-101).
Further reading
Questions (examples):
- How would describe a Knowledge Management System?
- How do IT change management of knowledge within and
between companies?
- Are there dedicated systems for knowledge Managenemt?
- Give a scenario where computerised knowledge management
would be beneficial.
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