Difference between revisions of "Knowledge Tree"

From PAWS Lab
Jump to: navigation, search
(Features)
Line 25: Line 25:
 
</gallery>
 
</gallery>
  
== Relevant Links ==
+
== Try Knowledge Tree ==
 
* Try tools deployed on [http://adapt2.sis.pitt.edu/kt Knowledge Tree] by [http://adapt2.sis.pitt.edu/kt/register.html creating] a trial account. Contact us to get "showcase" access to full courses in C/Java/SQL
 
* Try tools deployed on [http://adapt2.sis.pitt.edu/kt Knowledge Tree] by [http://adapt2.sis.pitt.edu/kt/register.html creating] a trial account. Contact us to get "showcase" access to full courses in C/Java/SQL
* [[Knowledge Tree RDF Binding]]
+
 
 +
== Standardization ==
 +
Knowledge Tree structure is serialized as [http://en.wikipedia.org/wiki/Resource_Description_Framework RDF]. For more information refer to [[Knowledge Tree RDF Binding]].
  
 
== Contacts ==
 
== Contacts ==
 
[[User:Myudelson | Michael V. Yudelson]]
 
[[User:Myudelson | Michael V. Yudelson]]

Revision as of 00:11, 14 February 2009

Overview

Knowledge Tree Logo

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.

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
    • Tacking user navigation via CUMULATE
    • (Conditional) adaptive navigation support via PERSEUS
  • Social/Community based
    • Note-taking
    • Ratings (under development)

Screenshots

Try Knowledge Tree

  • Try tools deployed on Knowledge Tree by creating a trial account. Contact us to get "showcase" access to full courses in C/Java/SQL

Standardization

Knowledge Tree structure is serialized as RDF. For more information refer to Knowledge Tree RDF Binding.

Contacts

Michael V. Yudelson