A good glossary of knowledge management terms.
Wednesday, March 31, 2004
Thursday, March 04, 2004
business/organization:How to manage communities,light overseeing part way through the transcript of a talk by Larry Prusak about loose coupling and using a light touch in managing communities in organisations.
Sunday, February 08, 2004
Is it DM or CM?
A good short description of the differences between document management and content management by James Robertson of Step Two Designs.
Monday, February 02, 2004
New Scientist - For want of a word
Article about evidentiality in an amazonian language called Tariana.
Tuesday, November 25, 2003
Tuesday, November 11, 2003
The Paradox of Permission - Storymaker
A short analysis of the paradox of giving permission for use of one's stories, by Storymaker who have a product that helps to mobilise the voice of experience in organisations and professional groups.
Thursday, October 16, 2003
The TAO of Topic Maps
Topics, Associations, Occurences
Indexes define these, Glossaries define topic meaning, Thesauri define topic associations and may 'type' them eg broader term, related term. Topic maps are more efficient than full text indexing.
Conceptual graphs in AI
Topic maps combine the topic/occurence axis with the topic/association axis
Topics have types eg Puccini would be a topic of type “composer”. Types must also be topics.
Occurances are generally external to the topic map document itself.
A topic association asserts a relationship between two or more topics eg “Tosca was written by Puccini”, Tosca takes place in Rome”
The ability to do typing of topic associations greatly increases the expressive power of the topic map, making it possible to group together the set of topics that have the same relationship to any given topic.
IFS
Indicators - a resource that is intended to provide a positive, unambiguous indication of the identity of a subject.
Facets - name, value metadata pairs for topics
Scope - contextual boundary for a topic as distinct from its homonyms
Topics, Associations, Occurences
Indexes define these, Glossaries define topic meaning, Thesauri define topic associations and may 'type' them eg broader term, related term. Topic maps are more efficient than full text indexing.
Conceptual graphs in AI
Topic maps combine the topic/occurence axis with the topic/association axis
Topics have types eg Puccini would be a topic of type “composer”. Types must also be topics.
Occurances are generally external to the topic map document itself.
A topic association asserts a relationship between two or more topics eg “Tosca was written by Puccini”, Tosca takes place in Rome”
The ability to do typing of topic associations greatly increases the expressive power of the topic map, making it possible to group together the set of topics that have the same relationship to any given topic.
IFS
Indicators - a resource that is intended to provide a positive, unambiguous indication of the identity of a subject.
Facets - name, value metadata pairs for topics
Scope - contextual boundary for a topic as distinct from its homonyms
Thursday, August 28, 2003
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