TY - CONF AU - Krause, Beate AU - Jäschke, Robert AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Logsonomy - Social Information Retrieval with Logdata T2 - HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia PB - ACM C1 - New York, NY, USA PY - 2008/ CY - VL - IS - SP - 157 EP - 166 UR - http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia DO - http://doi.acm.org/10.1145/1379092.1379123 KW - 2.0 KW - 2008 KW - analysis KW - folksonomy KW - information KW - itegpub KW - logsonomy KW - myown KW - network KW - retrieval KW - search KW - social KW - tagorapub KW - web KW - web2.0 KW - web20 L1 - SN - 978-1-59593-985-2 N1 - N1 - AB - 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. ER - TY - CONF AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Sure, York A2 - Domingue, John T1 - Information Retrieval in Folksonomies: Search and Ranking T2 - The Semantic Web: Research and Applications PB - Springer C1 - Heidelberg PY - 2006/06 CY - VL - 4011 IS - SP - 411 EP - 426 UR - DO - KW - 2006 KW - FCA KW - IR KW - OntologyHandbook KW - folkrank KW - folksonomy KW - information KW - informationretrieval KW - itegpub KW - mimose KW - myown KW - pagerank KW - ranking KW - retrieval L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Hotho, Andreas AU - J�schke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Sure, York A2 - Domingue, John T1 - Information Retrieval in Folksonomies: Search and Ranking T2 - The Semantic Web: Research and Applications PB - Springer C1 - Heidelberg PY - 2006/06 CY - VL - 4011 IS - SP - 411 EP - 426 UR - DO - KW - 2006 KW - FCA KW - IR KW - OntologyHandbook KW - folkrank KW - folksonomy KW - information KW - informationretrieval KW - itegpub KW - mimose KW - myown KW - pagerank KW - ranking KW - retrieval L1 - SN - N1 - N1 - AB - ER -