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The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags

by: T. Eda and M. Yoshikawa and T. Uchiyama and T. Uchiyama

In: World Wide Web , Vol. 12 , Nr. 4 , December (2009) , p. 421--440.

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URL:	http://dx.doi.org/10.1007/s11280-009-0069-1

Abstract  In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tagslike “cool” and “fun” from folksonomy tags without any extra knowledge other than folksonomy triples and use the level oftag generalization to form the objective tags into a hierarchy. We verify that entropy of folksonomy tags is an effectivemeasure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of childrennodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomytags.

BibTeX record

@article{takeharu2009,
  author = {T. Eda and M. Yoshikawa and T. Uchiyama and T. Uchiyama},
  interHash = {a560796c977bc7582017f662bf88c16d},
  intraHash = {da0c721d646af6a0d9703d0f6446357d},
  journal = {World Wide Web},
  number = {4},
  pages = {421--440},
  title = {The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags},
  url = {http://dx.doi.org/10.1007/s11280-009-0069-1},
  volume = {12},
  year = {2009},
  month = {December},
  abstract = {Abstract&nbsp;&nbsp;In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags
have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tagslike “cool” and “fun” from folksonomy tags without any extra knowledge other than folksonomy triples and use the level oftag generalization to form the objective tags into a hierarchy. We verify that entropy of folksonomy tags is an effectivemeasure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of childrennodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomytags.}
}

Endnote record

%0 Journal Article
%1 takeharu2009
%A T. Eda
%A M. Yoshikawa
%A T. Uchiyama
%A T. Uchiyama
%D 2009
%J World Wide Web
%K 
%N 4
%P 421--440
%T The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags
%U http://dx.doi.org/10.1007/s11280-009-0069-1
%V 12
%X Abstract&nbsp;&nbsp;In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags
have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tagslike “cool” and “fun” from folksonomy tags without any extra knowledge other than folksonomy triples and use the level oftag generalization to form the objective tags into a hierarchy. We verify that entropy of folksonomy tags is an effectivemeasure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of childrennodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomytags.