Tagging Human Knowledge

A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise has remained relatively unexamined. Using library data, we test the tagging approach to organizing a collection. We find that tagging systems have three major large scale organizational features: consistency, quality, and completeness. In addition to testing these features, we present results suggesting that users produce tags similar to the topics designed by experts, that paid tagging can effectively supplement tags in a tagging system, and that information integration may be possible across tagging systems. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Informa

• Type: Conference
• Year: 2010
• Where: WSDM
• Authors: Paul Heymann, Andreas Paepcke, Hector Garcia-Molina
• Keywords: Data Mining, Fundamental Premise, Major Large Scale, Users Produce Tags, WSDM 2010