Difference between revisions of "Knowledge Tree"
From PAWS Lab
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Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. Knowledge Tree is primarily oriented towards [[ADAPT2|ADAPT<sup>2</sup>]] architecture. | Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. Knowledge Tree is primarily oriented towards [[ADAPT2|ADAPT<sup>2</sup>]] architecture. | ||
− | '''Try Knowledge Tree''' by [http://adapt2.sis.pitt.edu/kt/register.html creating] a trial account. [[Knowledge Tree#Contacts|Contact us]] to get "showcase" access to full courses in C/Java/SQL | + | '''Try Knowledge Tree''' by [http://adapt2.sis.pitt.edu/kt/register.html creating] a trial account. [[Knowledge Tree#Contacts|Contact us]] to get "showcase" access to full courses in C/Java/SQL. |
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== Features == | == Features == |
Revision as of 00:14, 14 February 2009
Overview
Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. Knowledge Tree is primarily oriented towards ADAPT2 architecture.
Try Knowledge Tree by creating a trial account. Contact us to get "showcase" access to full courses in C/Java/SQL.
Features
- Authoring
- Document and folder creation and management
- WYSIWYG editor for documents/folder descriptions
- Adding resources from RSS feeds
- Configuration of access control (view,edit,add)
- (Conditional) hiding of folders and documents
- Adaptation
- Social/Community based
- Note-taking
- Ratings (under development)
Screenshots
Standardization
Knowledge Tree structure is serialized as RDF. For more information refer to Knowledge Tree RDF Binding.