@inproceedings{Jaeschke2008logsonomy,
  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.},
  added-at = {2010-02-04T09:21:48.000+0100},
  address = {Menlo Park, CA, USA},
  author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/27eb26a177187ea8cf788cc897d66ee48/nepomuk},
  booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media (ICWSM 2008)},
  interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c},
  intrahash = {7eb26a177187ea8cf788cc897d66ee48},
  isbn = {978-1-57735-355-3},
  keywords = {2008 engine folksonomy from:jaeschke l3s logsonomy myown search wp5},
  pages = {192--193},
  publisher = {AAAI Press},
  timestamp = {2010-02-04T09:21:48.000+0100},
  title = {Logsonomy -- A Search Engine Folksonomy},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
  vgwort = {7},
  year = 2008
}

@inproceedings{krause2008logsonomy,
  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.},
  added-at = {2009-05-13T09:36:02.000+0200},
  address = {New York, NY, USA},
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2e64d14f3207766f4afc65983fa759ffe/nepomuk},
  booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia},
  doi = {http://doi.acm.org/10.1145/1379092.1379123},
  interhash = {6d34ea1823d95b9dbf37d4db4d125d2a},
  intrahash = {e64d14f3207766f4afc65983fa759ffe},
  isbn = {978-1-59593-985-2},
  keywords = {2008 analysis engine from:jaeschke information l3s logsonomy myown network retrieval search social wp5},
  location = {Pittsburgh, PA, USA},
  pages = {157--166},
  publisher = {ACM},
  timestamp = {2009-05-13T09:36:02.000+0200},
  title = {Logsonomy - Social Information Retrieval with Logdata},
  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},
  vgwort = {17},
  year = 2008
}

@article{jaeschke2008discovering,
  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.},
  added-at = {2009-01-05T13:51:02.000+0100},
  address = {New York},
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/218e8babe208fae2c0342438617b0ec31/nepomuk},
  booktitle = {Semantic Web and Web 2.0},
  description = {ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomies},
  doi = {10.1016/j.websem.2007.11.004},
  editor = {Finin, T. and Mizoguchi, R. and Staab, S.},
  interhash = {cfca594f9dbe30694bfbcdeb40dc4e88},
  intrahash = {18e8babe208fae2c0342438617b0ec31},
  issn = {1570-8268},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  keywords = {2008 analysis concept folksonomy formal from:jaeschke l3s myown tagging trias wp5},
  month = Feb,
  number = 1,
  pages = {38--53},
  publisher = {Elsevier},
  timestamp = {2009-01-05T13:51:02.000+0100},
  title = {Discovering Shared Conceptualizations in Folksonomies},
  url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b},
  vgwort = {59},
  volume = 6,
  year = 2008
}

@incollection{hotho2008social,
  abstract = {BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung
der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der inBibSonomy und ähnlichen Systemen enthaltenen Daten ein.},
  added-at = {2008-10-13T10:42:29.000+0200},
  address = {Berlin, Heidelberg},
  author = {Hotho, Andreas and Jäschke, Robert and Benz, Dominik and Grahl, Miranda and Krause, Beate and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25ccf05a86e7f1a089ae83dd47568e6de/nepomuk},
  booktitle = {Social Semantic Web},
  chapter = 18,
  description = {SpringerLink - Buchkapitel},
  doi = {10.1007/978-3-540-72216-8},
  editor = {Blumauer, Andreas and Pellegrini, Tassilo},
  interhash = {79dbca4289cfe913aa7f7eb7e0dccea7},
  intrahash = {5ccf05a86e7f1a089ae83dd47568e6de},
  isbn = {978-3-540-72215-1},
  issn = {1439-3107},
  keywords = {2008 bibsonomy bookmarking from:jaeschke l3s myown social},
  pages = {363--391},
  publisher = {Springer},
  series = {X.media.press},
  timestamp = {2008-10-13T10:42:29.000+0200},
  title = {Social Bookmarking am Beispiel BibSonomy},
  url = {http://dx.doi.org/10.1007/978-3-540-72216-8_18},
  year = 2009
}

@inproceedings{1379123,
  added-at = {2008-10-08T16:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2c7f43f2f922de1e7febedd10347e80cb/nepomuk},
  booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
  description = {HT: HT '08, Logsonomy - social information ...},
  doi = {http://doi.acm.org/10.1145/1379092.1379123},
  interhash = {6d34ea1823d95b9dbf37d4db4d125d2a},
  intrahash = {c7f43f2f922de1e7febedd10347e80cb},
  isbn = {978-1-59593-985-2},
  keywords = {2008 from:jaeschke l3s logsonomy myown},
  location = {Pittsburgh, PA, USA},
  pages = {157--166},
  publisher = {ACM},
  timestamp = {2008-10-08T16:12:30.000+0200},
  title = {Logsonomy - social information retrieval with logdata},
  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
}

@inproceedings{krause2008logsonomy,
  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.},
  added-at = {2008-06-20T14:42:46.000+0200},
  address = {New York, NY, USA},
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/nepomuk},
  booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
  doi = {http://doi.acm.org/10.1145/1379092.1379123},
  interhash = {6d34ea1823d95b9dbf37d4db4d125d2a},
  intrahash = {76d81124951ae39060a8bc98f4883435},
  isbn = {978-1-59593-985-2},
  keywords = {analysis engine from:jaeschke information l3s logsonomy network retrieval search social wp5},
  location = {Pittsburgh, PA, USA},
  pages = {157--166},
  publisher = {ACM},
  timestamp = {2008-06-20T14:42:46.000+0200},
  title = {Logsonomy - Social Information Retrieval with Logdata},
  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
}

@inproceedings{Jaeschke2008logsonomy,
  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.},
  added-at = {2008-06-20T14:39:26.000+0200},
  author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/nepomuk},
  booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
  interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c},
  intrahash = {359e1eccdc524334d4a2ad51330f76ae},
  keywords = {2008 engine folksonomy from:jaeschke l3s logsonomy myown search wp5},
  publisher = {AAAI Press},
  timestamp = {2008-06-20T14:39:26.000+0200},
  title = {Logsonomy — A Search Engine Folksonomy},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
  year = 2008
}

@article{jaeschke2008discovering,
  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.},
  added-at = {2008-04-15T11:58:42.000+0200},
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/263901930c137df0c2dad84075c564b14/nepomuk},
  booktitle = {Semantic Web and Web 2.0},
  description = {ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomies},
  interhash = {cfca594f9dbe30694bfbcdeb40dc4e88},
  intrahash = {63901930c137df0c2dad84075c564b14},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  keywords = {2008 analysis concept folksonomy formal from:jaeschke l3s myown tagging wp5},
  month = feb,
  number = 1,
  pages = {38--53},
  timestamp = {2008-04-15T11:58:42.000+0200},
  title = {Discovering Shared Conceptualizations in Folksonomies},
  url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b},
  volume = 6,
  year = 2008
}

@inproceedings{jaeschke07tagKdml,
  abstract = {Collaborative tagging systems allow users to assign
keywords—so called “tags”—to resources.
Tags are used for navigation, finding resources
and serendipitous browsing and thus provide an
immediate benefit for users. These systems usually
include tag recommendation mechanisms
easing the process of finding good tags for a resource,
but also consolidating the tag vocabulary
across users. In practice, however, only very basic
recommendation strategies are applied.

In this paper we present two tag recommendation
algorithms: an adaptation of user-based collaborative
filtering and a graph-based recommender
built on top of FolkRank, an adaptation of the
well-known PageRank algorithm that can cope
with undirected triadic hyperedges. We evaluate
and compare both algorithms on large-scale real
life datasets and show that both provide better
results than non-personalized baseline methods.
Especially the graph-based recommender outperforms
existing methods considerably.},
  added-at = {2008-01-17T12:54:10.000+0100},
  author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2bfc43dfe59f9c0935ac3364b12e6d795/nepomuk},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  editor = {Hinneburg, Alexander},
  interhash = {7e212e3bac146d406035adebff248371},
  intrahash = {bfc43dfe59f9c0935ac3364b12e6d795},
  isbn = {978-3-86010-907-6},
  keywords = {2007 folksonomy from:jaeschke kdml l3s lwa myown recommender tagging},
  month = sep,
  pages = {13-20},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  timestamp = {2008-01-17T12:54:10.000+0100},
  title = {Tag Recommendations in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf},
  year = 2007
}

@inproceedings{jaeschke2007tag,
  abstract = {Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
In this paper we evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.},
  added-at = {2007-11-12T12:55:47.000+0100},
  address = {Berlin, Heidelberg},
  author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2bb8ecec699a2f129322fe334747c6aef/nepomuk},
  booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases},
  editor = {Kok, Joost N. and Koronacki, Jacek and de Mántaras, Ramon López and Matwin, Stan and Mladenic, Dunja and Skowron, Andrzej},
  ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52},
  interhash = {7e212e3bac146d406035adebff248371},
  intrahash = {bb8ecec699a2f129322fe334747c6aef},
  isbn = {978-3-540-74975-2},
  keywords = {2007 folksonomy from:jaeschke l3s myown recommender tagging wp5},
  pages = {506-514},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2007-11-12T12:55:47.000+0100},
  title = {Tag Recommendations in Folksonomies},
  url = {http://dx.doi.org/10.1007/978-3-540-74976-9_52},
  volume = 4702,
  year = 2007
}

@inproceedings{jaeschke2007analysis,
  abstract = {BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.},
  added-at = {2007-06-13T16:58:36.000+0200},
  address = {Sheffield, England},
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/22cbbe0790e81d5af7927ba51098fa126/nepomuk},
  booktitle = {Proceedings of the 15th International Conference on Conceptual Structures},
  interhash = {4352d1142afa561460511b22d4ce5103},
  intrahash = {2cbbe0790e81d5af7927ba51098fa126},
  keywords = {2007 analysis bibsonomy bookmarking fca folksonomy from:jaeschke iccs myown social trias},
  month = {July},
  timestamp = {2007-06-13T16:58:36.000+0200},
  title = {Analysis of the Publication Sharing Behaviour in {BibSonomy}},
  year = 2007
}

@inproceedings{trias2006jaeschke,
  added-at = {2007-01-11T13:54:35.000+0100},
  address = {Hong Kong},
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2e387c294129e11f4221514d5fa807e26/nepomuk},
  booktitle = {Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162},
  interhash = {b4964c3bdd2991a80873d7080ef6a73e},
  intrahash = {e387c294129e11f4221514d5fa807e26},
  issn = {1550-4786},
  keywords = {2006 issi_example triadic trias myown icdm wp5 l3s from:jaeschke algorithm 12 fca},
  month = {December},
  pages = {907-911},
  publisher = {IEEE Computer Society},
  timestamp = {2007-01-11T13:54:35.000+0100},
  title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
  year = 2006
}