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.
Description
FCA-based approach for mining contextualized folksonomy
%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
%C New York, NY, USA
%D 2007
%I ACM
%K 2007 FCA analysis blog blog-post concept formal grouping
%P 1340--1345
%R http://doi.acm.org/10.1145/1244002.1244292
%T FCA-based approach for mining contextualized folksonomy
%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.
%@ 1-59593-480-4
@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 = {https://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
}