BibSonomy publications for /concept/tag/logsonomyhttp://www.bibsonomy.org/burst/concept/tag/logsonomyBibSonomy BuRST Feed for /concept/tag/logsonomy2008-07-27T03:54:18+02:00Logsonomy - Social Information Retrieval with Logdatahttp://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/jaeschkejaeschke2008-06-20T14:42:46+02:00for:nepomuk retrieval network search engine wp5 logsonomy l3s social information analysis <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, </em><em>page157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Fri Jun 20 14:42:46 CEST 2008New York, NY, USAHT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia157--166Logsonomy - Social Information Retrieval with Logdata2008for:nepomuk retrieval network search engine wp5 logsonomy l3s social information analysis Social bookmarking systems constitute an established
part of the Web 2.0. In such 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.
Today’s search engines represent the gateway
to retrieve information from the World Wide
Web. Short queries typically consisting of
two to three words 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.
This clickdata can be represented as a folksonomy
in which queries are descriptions of
clicked URLs. The resulting network structure,
which we will term logsonomy is very
similar to the one of folksonomies. In order
to find out about its properties, we analyze
the topological characteristics of the tripartite
hypergraph of queries, users and bookmarks
on a large snapshot of del.icio.us and
on query logs of two large search engines.
All of the three datasets show small world
properties. The tagging behavior of users,
which is explained by preferential attachment
of the tags in social bookmark systems, is
reflected in the distribution of single query
words in search engines. We can conclude
that the clicking behaviour of search engine
users based on the displayed search results
and the tagging behaviour of social bookmarking
users is driven by similar dynamics.Logsonomy - Social Information Retrieval with Logdatahttp://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/nepomuknepomuk2008-06-20T14:42:46+02:00network search from:jaeschke retrieval information l3s engine analysis wp5 logsonomy social <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, </em><em>page157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Fri Jun 20 14:42:46 CEST 2008New York, NY, USAHT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia157--166Logsonomy - Social Information Retrieval with Logdata2008network search from:jaeschke retrieval information l3s engine analysis wp5 logsonomy social Social bookmarking systems constitute an established
part of the Web 2.0. In such 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.
Today’s search engines represent the gateway
to retrieve information from the World Wide
Web. Short queries typically consisting of
two to three words 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.
This clickdata can be represented as a folksonomy
in which queries are descriptions of
clicked URLs. The resulting network structure,
which we will term logsonomy is very
similar to the one of folksonomies. In order
to find out about its properties, we analyze
the topological characteristics of the tripartite
hypergraph of queries, users and bookmarks
on a large snapshot of del.icio.us and
on query logs of two large search engines.
All of the three datasets show small world
properties. The tagging behavior of users,
which is explained by preferential attachment
of the tags in social bookmark systems, is
reflected in the distribution of single query
words in search engines. We can conclude
that the clicking behaviour of search engine
users based on the displayed search results
and the tagging behaviour of social bookmarking
users is driven by similar dynamics.Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/jaeschkejaeschke2008-06-20T14:39:26+02:00l3s myown engine folksonomy logsonomy 2008 search for:nepomuk wp5 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Fri Jun 20 14:39:26 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008l3s myown engine folksonomy logsonomy 2008 search for:nepomuk wp5 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.Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/nepomuknepomuk2008-06-20T14:39:26+02:00engine myown l3s 2008 from:jaeschke search folksonomy logsonomy wp5 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Fri Jun 20 14:39:26 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008engine myown l3s 2008 from:jaeschke search folksonomy logsonomy wp5 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.Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/beatebeate2008-06-03T21:18:00+02:002008 folksonomy myown analysis logsonomy search <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Tue Jun 03 21:18:00 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy20082008 folksonomy myown analysis logsonomy search 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.Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/stummestumme2008-04-15T15:02:22+02:00search tagorapub folksonomy logsonomy logsonomies myown folksonomies engine 2008 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Tue Apr 15 15:02:22 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008search tagorapub folksonomy logsonomy logsonomies myown folksonomies engine 2008 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.Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/hothohotho2008-04-05T17:54:56+02:00myown 2008 search logsonomy folksonomy query analysis log network icwsm <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Sat Apr 05 17:54:56 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008myown 2008 search logsonomy folksonomy query analysis log network icwsm 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.A novel Web usage mining approach for search enginesScienceDirect - Computer Networks : A novel Web usage mining approach for search engineshttp://www.bibsonomy.org/bibtex/20b9b9522a5863d74796f54877c5fbe04/beatebeate2008-02-11T09:38:55+01:00logsonomy folkrank clickdata link-analysis hits <span style="color:#555555;">Dell <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> and Yisheng <a href="http://www.bibsonomy.org/author/Dong">Dong</a> </span><em>Computer Networks</em><em>39(3):303--310</em><em>june2002. </em>Mon Feb 11 09:38:55 CET 2008Computer Networksjune3303--310A novel Web usage mining approach for search engines392002logsonomy folkrank clickdata link-analysis hits Extracting semantic relations from query logshttp://www.bibsonomy.org/bibtex/26e45b65feffd1545c6dca62bf4b8f53d/beatebeate2008-02-10T19:16:09+01:00queries logsonomy clustering link-analysis <span style="color:#555555;">Ricardo <a href="http://www.bibsonomy.org/author/Baeza-Yates">Baeza-Yates</a> and Alessandro <a href="http://www.bibsonomy.org/author/Tiberi">Tiberi</a> </span><em>KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, </em><em>page76--85. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2007</em>)Sun Feb 10 19:16:09 CET 2008New York, NY, USAKDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining76--85Extracting semantic relations from query logs2007queries logsonomy clustering link-analysis