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FCA-based approach for mining contextualized folksonomy

by: Hak Lae Kim, Suk Hyung Hwang, and Hong Gee Kim

In: SAC '07: Proceedings of the 2007 ACM symposium on Applied computing New York, NY, USA: ACM (2007) , p. 1340--1345.

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URL:	http://portal.acm.org/citation.cfm?id=1244002.1244292&coll=Portal&dl=GUIDE&CFID=3654939&CFTOKEN=67760980
DOI:	10.1145/1244002.1244292

We present a novel approach to build the contextualized folksonomy and concept hieracrhies from tags of blogosphere based on Formal Concept Analysis. Our approach is based on the assumption that if a blog has the relationships with others, they would use the similar set of tags. We collect the sample data from blogosphere randomly and then build the concept hierarchies on the basis of the inclusion relationstags between the extensionsbloggers. We propose the formalization of the contextualized folksonomy in terms of Formal Concept Analysis and show how our approach can be used to create the contextualized folksonmy for blogosphere. We evaluate our approach by considering an already existing tags of blogosphere.

Description

FCA-based approach for mining contextualized folksonomy

BibTeX record

@inproceedings{paper:kim:2007,
  abstract = {We present a novel approach to build the contextualized folksonomy
and concept hieracrhies from tags of blogosphere based on
Formal Concept Analysis. Our approach is based on the assumption
that if a blog has the relationships with others, they would use
the similar set of tags. We collect the sample data from blogosphere
randomly and then build the concept hierarchies on the basis
of the inclusion relations(tags) between the extensions(bloggers).
We propose the formalization of the contextualized folksonomy in
terms of Formal Concept Analysis and show how our approach can
be used to create the contextualized folksonmy for blogosphere.
We evaluate our approach by considering an already existing tags
of blogosphere.},
  added-at = {2008-09-25T12:36:33.000+0200},
  address = {New York, NY, USA},
  author = {Kim, Hak Lae and Hwang, Suk Hyung and Kim, Hong Gee},
  biburl = {http://www.bibsonomy.org/bibtex/24440c3ca148004f3759456eac34e84fa/mschuber},
  booktitle = {SAC '07: Proceedings of the 2007 ACM symposium on Applied computing},
  description = {FCA-based approach for mining contextualized folksonomy},
  doi = {http://doi.acm.org/10.1145/1244002.1244292},
  interhash = {d4452fdd3059336e6d18ef714bcf0f72},
  intrahash = {4440c3ca148004f3759456eac34e84fa},
  isbn = {1-59593-480-4},
  keywords = {2007 FCA analysis blog blog-post concept formal grouping},
  location = {Seoul, Korea},
  pages = {1340--1345},
  publisher = {ACM},
  timestamp = {2008-09-25T12:36:33.000+0200},
  title = {FCA-based approach for mining contextualized folksonomy},
  url = {http://portal.acm.org/citation.cfm?id=1244002.1244292&coll=Portal&dl=GUIDE&CFID=3654939&CFTOKEN=67760980},
  year = 2007
}

Endnote record

%0 Conference Paper
%1 paper:kim:2007
%A Kim, Hak Lae
%A Hwang, Suk Hyung
%A Kim, Hong Gee
%B SAC '07: Proceedings of the 2007 ACM symposium on Applied computing
%@ 1-59593-480-4
%C New York, NY, USA
%D 2007
%I ACM
%K 
%P 1340--1345
%T FCA-based approach for mining contextualized folksonomy
%R http://doi.acm.org/10.1145/1244002.1244292
%U http://portal.acm.org/citation.cfm?id=1244002.1244292&coll=Portal&dl=GUIDE&CFID=3654939&CFTOKEN=67760980
%X We present a novel approach to build the contextualized folksonomy
and concept hieracrhies from tags of blogosphere based on
Formal Concept Analysis. Our approach is based on the assumption
that if a blog has the relationships with others, they would use
the similar set of tags. We collect the sample data from blogosphere
randomly and then build the concept hierarchies on the basis
of the inclusion relations(tags) between the extensions(bloggers).
We propose the formalization of the contextualized folksonomy in
terms of Formal Concept Analysis and show how our approach can
be used to create the contextualized folksonmy for blogosphere.
We evaluate our approach by considering an already existing tags
of blogosphere.

BibSonomy :: publication ::

FCA-based approach for mining contextualized folksonomy

Resources (URL, PDF, PS...)

Abstract

Description

BibTeX record

Endnote record