@article{JaeschkeHothoEtAl08jws,
	title = {Discovering Shared Conceptualizations in Folksonomies},
	author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme},
	journal = {Web Semantics},
	number = {1},
	pages = {38-53},
	url = {http://dx.doi.org/10.1016/j.websem.2007.11.004},
	volume = {6},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/202a122a03ba283e0b1678f4d13a8647a/flint63},
	abstract = {Social bookmarking tools are rapidly emerging on the Web. In such
	systems users are setting up lightweight conceptual structures called
	folksonomies. Unlike ontologies, shared conceptualizations are not
	formalized, but rather implicit. We present a new data mining task,
	the mining of all frequent tri-concepts, together with an efficient
	algorithm, for discovering these implicit shared conceptualizations.
	Our approach extends the data mining task of discovering all closed
	itemsets to three-dimensional data structures to allow for mining
	folksonomies. We provide a formal definition of the problem, and
	present an efficient algorithm for its solution. Finally, we show
	the applicability of our approach on three large real-world examples.},
	issn = {1570-8268}, timestamp = {2008.05.03}, file = {ScienceDirect:2008/JaeschkeHothoEtAl08jws.pdf:PDF}, owner = {flint},
	keywords = {ai bookmark community ontology paper semantic software tagging v0805 web }
}

@inproceedings{conf/ht/KrauseJHS08,
	title = {Logsonomy - social information retrieval with logdata.},
	author = {Beate Krause and Robert Jäschke and Andreas Hotho and Gerd Stumme},
	booktitle = {Hypertext},
	crossref = {conf/ht/2008},
	editor = {Peter Brusilovsky and Hugh C. Davis},
	pages = {157-166},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/ht/ht2008.html#KrauseJHS08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/28107858d7cdc53d4925787a52d25b14a/dblp},
	description = {dblp},
	date = {2008-06-30}, ee = {http://doi.acm.org/10.1145/1379092.1379123}, isbn = {978-1-59593-985-2},
	keywords = {dblp }
}

@article{paper:hoser:2006,
	title = {Semantic Network Analysis of Ontologies},
	author = {Bettina Hoser and Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
	journal = {The Semantic Web: Research and Applications},
	pages = {514--529},
	url = {http://dx.doi.org/10.1007/11762256_38},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2482920eb3b2dfff49c945b4d07d64a66/mschuber},
	abstract = {A key argument for modeling knowledge in ontologies is the easy reuse and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA).While social network structures currently receive high attention in the Semantic Web community, there are only very few SNA applications, and virtually none for analyzing the structure of ontologies.
ER  -},
	keywords = {to-read }
}

@inproceedings{jaeschke2006trias,
	title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
	address = {Washington, DC, USA},
	author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme},
	booktitle = {ICDM '06: Proceedings of the Sixth International Conference on Data Mining},
	pages = {907--911},
	publisher = {IEEE Computer Society},
	url = {http://portal.acm.org/citation.cfm?id=1193256},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2797d40e05a48f4343d7695dac87b5870/jaeschke},
	description = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
	abstract = {In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folk-sonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example.},
	isbn = {0-7695-2701-9}, doi = {http://dx.doi.org/10.1109/ICDM.2006.162},
	keywords = {2006 myown trias }
}

@inproceedings{hotho2006emergent,
	title = {Emergent Semantics in BibSonomy},
	address = {Bonn},
	author = {Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
	booktitle = {Informatik 2006 - Informatik für Menschen. Band 2},
	editor = {Christian Hochberger and Rüdiger Liskowsky},
	month = {oct},
	note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
	publisher = {Gesellschaft für Informatik},
	series = {Lecture Notes in Informatics},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf},
	volume = {P-94},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/205043cc20f1e0f5a612135c970e4f1ac/steff83},
	abstract = {Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies, briefly describeour own system BibSonomy, which allows for sharing both bookmarks andpublication references, and discuss first steps towards emergent semantics.},
	keywords = {emergent folksonomy master_thesis semantics }
}

@inproceedings{jaeschke2006wege,
	title = {Wege zur Entdeckung von Communities in Folksonomies},
	address = {Halle-Wittenberg},
	author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Gerd Stumme},
	booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken},
	editor = {Stefan Braß and Alexander Hinneburg},
	month = {June},
	pages = {80-84},
	publisher = {Martin-Luther-Universität },
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006wege.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/22b6be3bd5daee7119973fcf69909956f/steff83},
	abstract = {Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "`Web 2.0"'  -- stellenFolksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten undmit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellenein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies.},
	keywords = {communities folksonomy master_thesis }
}

@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},
	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},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/nepomuk},
	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.},
	location = {Pittsburgh, PA, USA}, isbn = {978-1-59593-985-2}, doi = {http://doi.acm.org/10.1145/1379092.1379123},
	keywords = {analysis engine from:jaeschke information l3s logsonomy network retrieval search social wp5 }
}

@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},
	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},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/jaeschke},
	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.},
	location = {Pittsburgh, PA, USA}, isbn = {978-1-59593-985-2}, doi = {http://doi.acm.org/10.1145/1379092.1379123},
	keywords = {analysis engine information l3s logsonomy network retrieval search social wp5 }
}

@inproceedings{Jaeschke2008logsonomy,
	title = {Logsonomy — A Search Engine Folksonomy},
	author = {Robert Jäschke and Beate Krause and Andreas Hotho and Gerd Stumme},
	booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
	publisher = {AAAI Press},
	url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/nepomuk},
	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.},
	keywords = {2008 engine folksonomy from:jaeschke l3s logsonomy myown search wp5 }
}

@inproceedings{Jaeschke2008logsonomy,
	title = {Logsonomy — A Search Engine Folksonomy},
	author = {Robert Jäschke and Beate Krause and Andreas Hotho and Gerd Stumme},
	booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
	publisher = {AAAI Press},
	url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/jaeschke},
	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.},
	keywords = {2008 engine folksonomy l3s logsonomy myown search wp5 }
}