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Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems

by: Paul Heymann, and Hector Garcia-Molina

, Nr. 2006--10 (April 2006) .

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URL:	http://ilpubs.stanford.edu:8090/775/1/2006-10.pdf

Collaborative tagging systems---systems where many casual users annotate objects with free-form strings tags of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.

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KDubiq Blueprint

BibTeX record

@techreport{heymann_2006,
  abstract = {Collaborative tagging systems---systems where many
                  casual users annotate objects with free-form strings
                  (tags) of their choosing---have recently emerged as
                  a powerful way to label and organize large
                  collections of data. During our recent investigation
                  into these types of systems, we discovered a simple
                  but remarkably effective algorithm for converting a
                  large corpus of tags annotating objects in a tagging
                  system into a navigable hierarchical taxonomy of
                  tags. We first discuss the algorithm and then
                  present a preliminary model to explain why it is so
                  effective in these types of systems.},
  added-at = {2009-09-13T14:25:53.000+0200},
  author = {Heymann, Paul and Garcia-Molina, Hector},
  biburl = {http://www.bibsonomy.org/bibtex/23b4ce6fd7fa6dbf1c39fd261fa39fcd6/tobold},
  citeulike-article-id = {739394},
  description = {KDubiq Blueprint},
  institution = {Computer Science Department, Stanford University},
  interhash = {d77846b40aadb0e25233cabf905bb93e},
  intrahash = {3b4ce6fd7fa6dbf1c39fd261fa39fcd6},
  keywords = {sota_chi10_2 tagging taxonomy},
  month = {April},
  number = {2006--10},
  priority = {3},
  timestamp = {2009-09-13T14:25:53.000+0200},
  title = {{C}ollaborative {C}reation of {C}ommunal
                  {H}ierarchical {T}axonomies in {S}ocial {T}agging
                  {S}ystems},
  url = {http://ilpubs.stanford.edu:8090/775/1/2006-10.pdf},
  urlxxx = {http://dbpubs.stanford.edu:8090/pub/2006--10},
  year = 2006
}

Endnote record

%0 Report
%1 heymann_2006
%A Heymann, Paul
%A Garcia-Molina, Hector
%D 2006
%K 
%N 2006--10
%T {C}ollaborative {C}reation of {C}ommunal
                  {H}ierarchical {T}axonomies in {S}ocial {T}agging
                  {S}ystems
%U http://ilpubs.stanford.edu:8090/775/1/2006-10.pdf
%X Collaborative tagging systems---systems where many
                  casual users annotate objects with free-form strings
                  (tags) of their choosing---have recently emerged as
                  a powerful way to label and organize large
                  collections of data. During our recent investigation
                  into these types of systems, we discovered a simple
                  but remarkably effective algorithm for converting a
                  large corpus of tags annotating objects in a tagging
                  system into a navigable hierarchical taxonomy of
                  tags. We first discuss the algorithm and then
                  present a preliminary model to explain why it is so
                  effective in these types of systems.