K-CAP Workshops

Semantic Authoring, Annotation and Knowledge Markup (SAAKM)

Full day workshop (Sept. 1) - starts at 9:00am.

Read more information on the workshop website at:
http://saakm2009.semanticauthoring.org

Go direclty to the workshop programe.

 

Analyzing Social Media to Represent Collective Knowledge

Half day workshop (Sept 1, morning)

This is a joined initiative of workshop on Collective Knowledge Capturing and Representation (CKCaR'09) and workshop on Social Media Analysis (the two workshops described below). Please see the workshop webpage for more details:

http://www.uni-koblenz.de/confsec/CKSM09/


K-CAP'09 Workshop on Social Media Analysis

Read more information on the workshop website at:
http://ki.informatik.uni-mannheim.de/soma09.html

First International Workshop on Collective Knowledge Capturing and Representation - CKCaR'09

The Web 2.0 has introduced a new model of user interactions and encourages people to massively participate in generating and sharing on-line content. This results in a mass amount of data and information available on the Web, created by the collaboration and competition of many individuals. By processing, combining, and integrating these masses of data and information, the Collective Knowledge emerges. Some Web 2.0 platforms already utilize this Collective Knowledge of their users to provide better information and services to their customers. For example, collaborative tagging of several media types can facilitate sharing of such information among users, but also knowledge learned from the analysis of tag networks can provide better annotations for the new incoming media. Collective knowledge is not limited only to social media. Industrial media and corporate or specialized (e.g. biological) knowledge bases can also successfully serve as relevant sources of information, but may require slightly different approaches in extracting new knowledge.

Collective Knowledge is generated in a process that includes analysis and, in many cases, integration of multiple data sources. However, integration of massive or multiple data sources is just a prerequisite for creating Collective Knowledge. As named by Tom Gruber, this is Collected Knowledge (or Collected Intelligence). It becomes Collective Knowledge when new levels of understanding of such knowledge emerge, when "wisdom of the masses" creates new values.

Further details on the workshop webpage at:
http://www.uni-koblenz.de/confsec/CKCaR09/

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