@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 }
}

@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 }
}

@techreport{prolearnsoso07,
	title = {Case Study on social software in distributed working environments},
	author = {Barbara Kieslinger and Margit Hofer and Yiwei Cao and Karsten Ehms and Sebastian Fiedler and Anna-Kaarina Kairamo and Ralf Klamma and Beate Krause and Milos Kravcik and Tommi Ryyppö and Marc Spaniol and Gerd Stumme and Fridolin Wild},
	institution = {ProLearn},
	url = {http://telearn.noe-kaleidoscope.org/open-archive/browse?resource=1851},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2233a2cfa59bd2512ad39efe7933588fc/yish},
	abstract = {This document outlines four different case studies on the use of Social Software in distributed working environments. While two case studies focus on the corporate world, two other case studies look at the use of Social Software in academic workplaces. The concluding remarks identify some common benefits as well as issues with the use of Social Software and to derive some further research challenges from the different cases. The findings for future research need to be directed towards strategies for corporate learning and working environments to effectively integrate Social Software solutions for very specific needs in different institutional cultures. Therefore the continuation of social software applications in practice, including some other case studies from non-corporate or non-academic, will be essential for WP 15.},
	keywords = {TLRPWeb20Commentary bibsonomy case casestudy prolearn social socialsoftware software study web2.0 }
}

@inproceedings{conf/comma/BryantKV06,
	title = {Argue tuProlog: A Lightweight Argumentation Engine for Agent Applications.},
	author = {Daniel Bryant and Paul J. Krause and Gerard Vreeswijk},
	booktitle = {COMMA},
	crossref = {conf/comma/2006},
	editor = {Paul E. Dunne and Trevor J. M. Bench-Capon},
	pages = {27-32},
	publisher = {IOS Press},
	series = {Frontiers in Artificial Intelligence and Applications},
	url = {http://dblp.uni-trier.de/db/conf/comma/comma2006.html#BryantKV06},
	volume = {144},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/265d524708732691089c451ffc1f696db/dblp},
	description = {dblp},
	date = {2008-06-18}, ee = {http://www.booksonline.iospress.nl/Content/View.aspx?piid=1922}, isbn = {978-1-58603-652-2},
	keywords = {dblp }
}

@article{hummel,
	title = {AMD and HP: Protocol Enhancements for Tightly Coupled Accelerators},
	author = {Mark Hummel and Mike Krause and Douglas O'Flaherty},
	url = {http://www.hp.com/techservers/hpccn/hpccollaboration/ADCatalyst/Hardware_Accelerators.html},
	year = {200X},
	biburl = {http://www.bibsonomy.org/bibtex/261c081ab8f01634c1b5aa5c01ceae72b/ykwok},
	description = {This is a joint AMD-HP whitepaper.},
	keywords = {AMD HP accelerator }
}

@inproceedings{krause2008antisocial,
	title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
	author = {Beate Krause and Andreas Hotho and Gerd Stumme},
	booktitle = {Proc. of the Fourth International Workshop on  Adversarial Information Retrieval on the Web},
	url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/stumme},
	keywords = {2.0 2008 bookmarking folksonomies folksonomy myown social spam systems tagger tagorapub web web2.0 }
}

@inproceedings{conf/ecows/HenzeK06,
	title = {Building an Architecture for Discovery, Selection, Invocation and Personalization of Semantic Web Services.},
	author = {Nicola Henze and Daniel Krause},
	booktitle = {SemWS},
	crossref = {conf/ecows/2006semws},
	editor = {M. Omair Shafiq},
	publisher = {CEUR-WS.org},
	series = {CEUR Workshop Proceedings},
	url = {http://dblp.uni-trier.de/db/conf/ecows/semws2006.html#HenzeK06},
	volume = {316},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/213f470666ba009317db38435d59eb855/dblp},
	description = {dblp},
	date = {2008-06-09}, ee = {http://ceur-ws.org/Vol-316/Paper-5.pdf},
	keywords = {dblp }
}