People-focused knowledge management

Purpose: Organize, structure, store, and deliver information with
IT and automated to the largest practical extent; effectively capture
knowledge with IT support; obtain knowledge from unorganized
databases (such as implied rules for effective treatment of diseases,
for handling of particular problems); organize knowledge to 
facilitate its application; distribute knowledge to point-of-action
(PoA).
Examples of Tools and Approaches that Primarily Are Intelligent
and Active: Knowledge and Information Navigation Tools; Office
Management Systems; knowledge creation and transformation tools
for knowledge discovery in databases (KDD, in contrast to “Data
Mining”) using methods such as machine induction and natural 
language understanding (NLU); automated lessons-learned-systems
(LLS); Evaluation and Summarization Tools for Communications
such as e-mail; intelligent agents; KBS/AI/Expert Systems); 
knowledge navigation tools based on NLU concept understanding;
advanced computer-based educational systems with interactive 
multimedia delivery mechanisms; and specialized applications.
Examples of Tools and Approaches that Primarily Are Passive:
Knowledge Inventory System; Information Inventory System; 
Corporate Knowledge Maps; Global Knowledge Sharing System;
Corporate Memory Data Bases; Corporate Memory Knowledge
Bases;
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Distance Learning Systems.
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Examples of Knowledge Management Practices and Initiatives
303
20 Knowledge Management Initiatives 
and Practices
Knowledge management professionals, often with AI expertise,
apply technical tools with understanding and judgment, create and
facilitate operation of the technology-based capabilities, and provide
technical support for maintaining them. We can outline different
models for how enterprises approach and pursue what they consider
KM as in the following selection of 20 initiatives and practices: