Given the rise in popularity of social tagging systems, it
seems only natural to ask how efficient is the organically
evolved vocabulary in describing any underlying document
objects? Does this distributed process really provide a way
to circumnavigate the traditional categorization problem
with ontologies? We analyze a social tagging site, namely
del.icio.us, with information theory in order to evaluate the
efficiency of this social tagging site for navigation to
information sources. We show that over time, del.icio.us is
becoming harder and harder to navigate and provide an
evaluation metric, namely entropy, that can be used to
evaluate and drive system design choices.
%0 Journal Article
%1 chi2007
%A Chi, Todd Mytkowicz Ed H.
%D 2007
%K d4.1 delicious entropy folksonomy navigation statistics stream tagging tagora
%T Understanding Navigability of Social Tagging Systems
%U http://www.google.com/url?sa=t&ct=res&cd=1&url=http%3A%2F%2Fwww.viktoria.se%2Faltchi%2Findex.php%3Faction%3Dshowsubmission%26id%3D39&ei=VFDoRdG5FIy20wSnq9iPDA&usg=__NGsT9XM4DFpohSrGyOZzjAiQFBs=&sig2=vKW2dIH12OppxK-VX2XWxA
%X Given the rise in popularity of social tagging systems, it
seems only natural to ask how efficient is the organically
evolved vocabulary in describing any underlying document
objects? Does this distributed process really provide a way
to circumnavigate the traditional categorization problem
with ontologies? We analyze a social tagging site, namely
del.icio.us, with information theory in order to evaluate the
efficiency of this social tagging site for navigation to
information sources. We show that over time, del.icio.us is
becoming harder and harder to navigate and provide an
evaluation metric, namely entropy, that can be used to
evaluate and drive system design choices.
@article{chi2007,
abstract = {Given the rise in popularity of social tagging systems, it
seems only natural to ask how efficient is the organically
evolved vocabulary in describing any underlying document
objects? Does this distributed process really provide a way
to circumnavigate the traditional categorization problem
with ontologies? We analyze a social tagging site, namely
del.icio.us, with information theory in order to evaluate the
efficiency of this social tagging site for navigation to
information sources. We show that over time, del.icio.us is
becoming harder and harder to navigate and provide an
evaluation metric, namely entropy, that can be used to
evaluate and drive system design choices.
},
added-at = {2007-03-02T17:30:07.000+0100},
author = {Chi, Todd Mytkowicz Ed H.},
biburl = {https://www.bibsonomy.org/bibtex/28b3160b26e6deb3a904b033d9f11ba8b/andreab},
interhash = {5c9896d4d801d0982614cec8e83f6139},
intrahash = {8b3160b26e6deb3a904b033d9f11ba8b},
keywords = {d4.1 delicious entropy folksonomy navigation statistics stream tagging tagora},
timestamp = {2007-03-09T18:44:46.000+0100},
title = {Understanding Navigability of Social Tagging Systems},
url = {http://www.google.com/url?sa=t&ct=res&cd=1&url=http%3A%2F%2Fwww.viktoria.se%2Faltchi%2Findex.php%3Faction%3Dshowsubmission%26id%3D39&ei=VFDoRdG5FIy20wSnq9iPDA&usg=__NGsT9XM4DFpohSrGyOZzjAiQFBs=&sig2=vKW2dIH12OppxK-VX2XWxA},
year = 2007
}