R. Jäschke, B. Krause, A. Hotho, and G. Stumme. Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), AAAI Press, (2008)
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.
%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)
%D 2008
%I AAAI Press
%K 2008 engine folksonomies folksonomy itegpub logsonomies logsonomy myown search tagorapub
%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.
@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 = {2009-03-02T22:18:19.000+0100},
author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/stumme},
booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c},
intrahash = {359e1eccdc524334d4a2ad51330f76ae},
keywords = {2008 engine folksonomies folksonomy itegpub logsonomies logsonomy myown search tagorapub},
publisher = {AAAI Press},
timestamp = {2009-03-02T22:18:20.000+0100},
title = {Logsonomy -- A Search Engine Folksonomy},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
year = 2008
}