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Folksonomy

 

(FOLKS taxONOMY) Classifying Web sites by the user community rather than by taxonomy professionals. Folksonomy is said to provide a democractic tagging system that reflects the opinions of the general public. See social bookmarking and taxonomy.

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Wikipedia: Folksonomy
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A folksonomy is a system of classification derived from the practice and method of collaboratively creating and managing tags to annotate and categorize content;[1] this practice is also known as collaborative tagging, social classification, social indexing, and social tagging.[citation needed] Folksonomy is a portmanteau of folk and taxonomy.

Folksonomies became popular on the Web around 2004[2] as part of social software applications such as social bookmarking and photograph annotation. Tagging, which is characteristic of Web 2.0 services, allows users to collectively classify and find information. Some websites include tag clouds as a way to visualize tags in a folksonomy.[3]

Attempts have been made to characterize folksonomy in social tagging system as emergent externalization of knowledge structures contributed by multiple users. Models of collaborative tagging have been developed to characterize how knowledge structures could arise and be useful to other users, even when there is a lack of top-down mediation (which is believed to be an important feature because they do not need laborious explicit representations as in semantic web). In particular, cognitive models [4] of collaborative tagging can highlight how differences in internal knowledge structures of multiple users can lead to different emergent properties in the folksonomy of a social tagging system.

See also

References

  1. ^ Pink, Daniel H. (December 11, 2005). "Folksonomy". New York Times. http://www.nytimes.com/2005/12/11/magazine/11ideas1-21.html. Retrieved 14 July 2009. 
  2. ^ Vander Wal, Thomas. "Folksonomy Coinage and Definition". http://vanderwal.net/folksonomy.html. Retrieved 2009-07-06. 
  3. ^ Lamere, Paul (June 2008), "Social Tagging And Music Information Retrieval", Journal of New Music Research 37 (2): 101–114, http://www.informaworld.com/smpp/content~db=all~content=a906001732 
  4. ^ Fu, Wai-Tat (Aug 2009), "A Semantic Imitation Model of Social Tagging.", Proceedings of the IEEE conference on Social Computing: 66-72, http://www.humanfactors.illinois.edu/Reports&PapersPDFs/IEEESocialcom09/A%20Semantic%20Imitation%20Model%20of%20Social%20Tag%20Choices%20(2).pdf 



 
 

 

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