Introduction to Knowledge Management
This work has been a collaboration between Mark Burgess (OUC) and Alva
Couch (Tufts). We diverge from traditional approaches to Knowledge
Management, to develop semantic webs for humans rather than automated
reasoning systems. Using simple algebraic ideas, and inspired by ISO
standard Topic Maps as an information model, we show how automated
reasoning can be used to assist humans in reasoning.
Our goal is not to replace human reasoning with clever logics, but rather to
create a kind or "route finder" to ideas within a knowledge landscape. Experience
shows that humans are good at reasoning but poor at remembering depth and breadth
and complexity; machine logics are poor at reasoning but good at searching and
applying rules with depth and complexity. Thus a sensible division of labour is
to use the computer as a human assistant.
Our approach to Knowledge Management has a close relationship to Promise Theory.
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