@inproceedings{krause2008logsonomy,
        title = {Logsonomy - Social Information Retrieval with Logdata},
        address = {New York, NY, USA},
        author = {Beate Krause and Robert Jäschke and Andreas Hotho and Gerd Stumme},
        booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
        pages = {157--166},
        publisher = {ACM},
        year = 2008,
        url = {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},
        location = {Pittsburgh, PA, USA},
	isbn = {978-1-59593-985-2},
	doi = {http://doi.acm.org/10.1145/1379092.1379123},
	abstract = {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.},
	biburl = {http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/nepomuk},
	keywords = {information search engine social logsonomy retrieval l3s from:jaeschke analysis wp5 network}
}

@inproceedings{schmitz2006mining,
        title = {Mining Association Rules in Folksonomies},
        address = {Heidelberg},
        author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
        booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
        editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. Žiberna},
        month = {July},
        pages = {261--270},
        publisher = {Springer},
        series = {Studies in Classification, Data Analysis, and Knowledge Organization},
        year = 2006,
        url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
        abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuk},
	keywords = {2006 nepomuk semantic from:pchirita myown folksonomy folksonomies l3s analysis wp5 network}
}

@proceedings{stumme05semanticnetworkanalysis,
        title = {Proceedings of the First Workshop on Semantic Network Analysis },
        address = {Aachen},
        editor = {Gerd Stumme and Bettina Hoser and Christoph Schmitz and Harith Alani},
        publisher = {CEUR Proceedings},
        year = 2005,
        url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/},
        issn = {1613-0073},
	description = {Collocated with the 4th International Semantic Web Conference},
	biburl = {http://www.bibsonomy.org/bibtex/2c44763991d44182c53606a2c93054f26/nepomuk},
	keywords = {workshop 2005 semantic myown analysis l3s network iswc sna nepomuk proceedings from:pchirita wp5 semna}
}