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Logsonomy -- A Search Engine Folksonomy

by: Robert Jäschke, Beate Krause, Andreas Hotho, and Gerd Stumme

In: Proceedings of the Second International Conference on Weblogs and Social Media ICWSM 2008 Menlo Park, CA, USA: AAAI Press (2008) , p. 192--193.

Resources (URL, PDF, PS...)

URL:	http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf

In social bookmarking systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Search engines filter the vast information of the web. Queries describe a user’s information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. The clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. This poster analyzes the topological characteristics of the resulting tripartite hypergraph of queries, users and bookmarks of two query logs and compares it two a snapshot of the folksonomy del.icio.us.

BibTeX record

@inproceedings{Jaeschke2008logsonomy,
  abstract = {In social bookmarking systems users describe bookmarks
by keywords called tags. The structure behind
these social systems, called folksonomies, can be
viewed as a tripartite hypergraph of user, tag and resource
nodes. This underlying network shows specific
structural properties that explain its growth and the possibility
of serendipitous exploration.
Search engines filter the vast information of the web.
Queries describe a user’s information need. In response
to the displayed results of the search engine, users click
on the links of the result page as they expect the answer
to be of relevance. The clickdata can be represented as a
folksonomy in which queries are descriptions of clicked
URLs. This poster analyzes the topological characteristics
of the resulting tripartite hypergraph of queries,
users and bookmarks of two query logs and compares it
two a snapshot of the folksonomy del.icio.us.
},
  added-at = {2010-03-27T18:34:13.000+0100},
  address = {Menlo Park, CA, USA},
  author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/27eb26a177187ea8cf788cc897d66ee48/jaeschke},
  booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media (ICWSM 2008)},
  interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c},
  intrahash = {7eb26a177187ea8cf788cc897d66ee48},
  isbn = {978-1-57735-355-3},
  keywords = {2008 engine folksonomy l3s logsonomy myown search wp5},
  pages = {192--193},
  publisher = {AAAI Press},
  timestamp = {2010-03-27T18:34:13.000+0100},
  title = {Logsonomy -- A Search Engine Folksonomy},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
  vgwort = {7},
  year = 2008
}

Endnote record

%0 Conference Paper
%1 Jaeschke2008logsonomy
%A Jäschke, Robert
%A Krause, Beate
%A Hotho, Andreas
%A Stumme, Gerd
%B Proceedings of the Second International Conference on Weblogs and Social Media (ICWSM 2008)
%@ 978-1-57735-355-3
%C Menlo Park, CA, USA
%D 2008
%I AAAI Press
%K 
%P 192--193
%T Logsonomy -- A Search Engine Folksonomy
%U http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf
%X In social bookmarking systems users describe bookmarks
by keywords called tags. The structure behind
these social systems, called folksonomies, can be
viewed as a tripartite hypergraph of user, tag and resource
nodes. This underlying network shows specific
structural properties that explain its growth and the possibility
of serendipitous exploration.
Search engines filter the vast information of the web.
Queries describe a user’s information need. In response
to the displayed results of the search engine, users click
on the links of the result page as they expect the answer
to be of relevance. The clickdata can be represented as a
folksonomy in which queries are descriptions of clicked
URLs. This poster analyzes the topological characteristics
of the resulting tripartite hypergraph of queries,
users and bookmarks of two query logs and compares it
two a snapshot of the folksonomy del.icio.us.

BibSonomy :: publication ::

Logsonomy -- A Search Engine Folksonomy

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record