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Table 8.1
Major KM techniques, tools, and technologies
Knowledge creation and Knowledge sharing and Knowledge acquisition and
codifi cation phase dissemination phase application phase
Content creation Communication and E-learning technologies
• Authoring tools collaboration technologies • CBT
• Templates • Telephone/Internet • WBT
telephone/Fax
• Annotations • EPSS
• Videoconferencing
• Data mining Emerging technologies
• Chat rooms/instant
• Expertise profi ling • Folksonomies
messaging/iwitter
• Blogs • Metadata
• E-mail/discussion forums/
• Mashups
wikis
• Groupware
• Work fl ow management
• Folksonomies
• Social networking
• Web 2.0/KM 2.0
Content management Networking technologies Artifi cial intelligence technologies
• Taxonomies • Intranets • Expert systems
• Folksonomies • Extranets • DSS
• Metadata tagging • Web servers, browsers • Customization/personalization
• Classifi cation • Knowledge repository • Push/pull technologies
• Archiving • Portal • Recommender systems
• Personal KM • Visualization
• Knowledge maps
• Intelligent agents
• Automated taxonomy systems
• Text analysis — summarization
page design software). Annotation technologies enable short comments to be attached
to specifi c sections of a text document, often by a number of different authors (e.g.,
track changes feature in Word). This allows a running commentary to be built up and
preserved. Annotations may be public (visible to all who access and read the docu-
ment) or private (visible to author only).
Data Mining and Knowledge Discovery
Data mining and knowledge discovery are processes that automatically extract predic-
tive information from large databases based on statistical analysis (typically cluster
analysis). Using a combination of machine learning, statistical analysis, modeling