Knowledge Technologies, 3rd Ed.
Managing Knowledge -- Unit 10
Publisher: The Open University, 2001
ISBN: 0-7492-7773-4
Synopsis:
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Table of Contents:
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- Introduction
- 1.1 ‘Managing’?
- 1.2 ‘Technology’?
- 1.3 Pressing Questions
- 1.4 Scope of the Unit
- 1.5 Aims
- 1.6 Learning Objectives
- Core Concepts
- 2.1 Representation, Interpretation and Communities of Practice
- 2.2 Codification and Formalization
- From tacit to codified knowledge
- From Heidegger to knowledge management technologies
- 2.3 Design Implications
- Frameworks for Knowledge Technologies
- 3.1 Tacit, Explicit and Meta-Knowledge
- 3.2 Organizational Memory Systems
- Metaphors for organizational memory systems
- Integrating memory systems into the flow of work
- A framework for planning a group memory system
- When we just want to forget ('we're only human')
- Mapping Technologies to Knowledge Types
- 4.1 Technologies and Meta-Knowledge
- Mapping who knows what
- Mapping important knowledge categories
- But the map also shapes the territory
- Generating maps and summaries automatically
- Mapping across multiple communities of practice
- 4.2 Technologies and Tacit Knowledge
- Connecting people to people
- Capturing meetings
- Making the tacit explicit — at the right moment
- Stories for sharing tacit/informal knowledge
- Stories in organizations
- Narrative technologies
- Debating and negotiating meaning
- Communities of practice and technology
- 4.3 Technologies and Explicit Knowledge
- Standards and classification
- Example: an 'intelligent' email system
- Users structure more information
- Computer infers information from unstructured information
- Computer helps users structure information
- Ontologies
- Metadata
- The Semantic Web
- Software agents
- Ontology-based software agents
- Data mining
- Information visualization
- Conclusion