@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
}

@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
}

@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{hotho2006trend,
  abstract = {As the number of resources on the web exceeds by far the number of
documents one can track, it becomes increasingly difficult to remain
up to date on ones own areas of interest. The problem becomes more
severe with the increasing fraction of multimedia data, from which
it is difficult to extract some conceptual description of their
contents.

One way to overcome this problem are social bookmark tools, which
are rapidly emerging on the web. In such systems, users are setting
up lightweight conceptual structures called folksonomies, and
overcome thus the knowledge acquisition bottleneck. As more and more
people participate in the effort, the use of a common vocabulary
becomes more and more stable. We present an approach for discovering
topic-specific trends within folksonomies. It is based on a
differential adaptation of the PageRank algorithm to the triadic
hypergraph structure of a folksonomy. The approach allows for any
kind of data, as it does not rely on the internal structure of the
documents. In particular, this allows to consider different data
types in the same analysis step. We run experiments on a large-scale
real-world snapshot of a social bookmarking system.},
  added-at = {2007-03-22T18:29:28.000+0100},
  address = {Heidelberg},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/nepomuk},
  booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT) },
  date = {2006-12-13},
  editor = {Avrithis, Yannis S. and Kompatsiaris, Yiannis and Staab, Steffen and O'Connor, Noel E.},
  ee = {http://dx.doi.org/10.1007/11930334_5},
  interhash = {227be738c5cea57530d592463fd09abd},
  intrahash = {42cda5911e901eadd0ac6a106a6aa1dc},
  isbn = {3-540-49335-2},
  keywords = {2006 UniK detection folkrank folksonomy from:pchirita hotho jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic wp5},
  month = dec,
  pages = {56-70},
  publisher = {Springer},
  series = {LNCS},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {Trend Detection in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf},
  vgwort = {27},
  volume = 4306,
  year = 2006
}

@inproceedings{hotho2006bibsonomy,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. The reason for their immediate success is the
fact that no specific skills are needed for participating. In this
paper we specify a formal model for folksonomies and briefly describe 
our own system BibSonomy, which allows for sharing both bookmarks
and publication references in a kind of personal library.},
  added-at = {2007-03-22T18:29:28.000+0100},
  address = {Aalborg},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25854a71547051543dd3d3d5e2e2f2b67/nepomuk},
  booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures},
  editor = {de Moor, Aldo and Polovina, Simon and Delugach, Harry},
  interhash = {d28c9f535d0f24eadb9d342168836199},
  intrahash = {5854a71547051543dd3d3d5e2e2f2b67},
  isbn = {87-7307-769-0},
  keywords = {2006 bibsonomy bookmarking folksonomy from:pchirita iccs l3s myown nepomuk social wp5},
  pages = {87-102},
  publisher = {Aalborg Universitetsforlag},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {{BibSonomy}: A Social Bookmark and Publication Sharing System},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf},
  year = 2006
}

@inproceedings{schmitz2006mining,
  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.},
  added-at = {2007-03-22T18:29:28.000+0100},
  address = {Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuk},
  booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
  editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.},
  interhash = {20650d852ca3b82523fcd8b63e7c12d7},
  intrahash = {11b2a59a568d246d7f36cb68169a464a},
  keywords = {2006 analysis folksonomies folksonomy from:pchirita l3s myown nepomuk network semantic wp5},
  month = {July},
  pages = {261--270},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {Mining Association Rules in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
  year = 2006
}

@inproceedings{hotho2006emergent,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. The reason for their immediate success is the
fact that no specific skills are needed for participating. In this
paper we specify a formal model for folksonomies, briefly describe
our own system BibSonomy, 
which allows for sharing both bookmarks and
publication references, 
and discuss first steps towards emergent semantics.},
  added-at = {2007-03-22T18:29:28.000+0100},
  address = {Bonn},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/205043cc20f1e0f5a612135c970e4f1ac/nepomuk},
  booktitle = {Informatik 2006 - Informatik für Menschen. Band 2},
  editor = {Hochberger, Christian and Liskowsky, Rüdiger},
  interhash = {53e5677ab0bf1a8f5a635cc32c9082ba},
  intrahash = {05043cc20f1e0f5a612135c970e4f1ac},
  keywords = {2006 UniK bibsonomy emergence emergent folksonomy from:pchirita hotho jaeschke l3s myown nepomuk schmitz semantics stumme tagorapub wp5},
  month = oct,
  note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
  publisher = {Gesellschaft für Informatik},
  series = {Lecture Notes in Informatics},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {Emergent Semantics in BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf},
  volume = {P-94},
  year = 2006
}

@inbook{schmitz2006kollaboratives,
  abstract = {Wissensmanagement in zentralisierten Wissensbasen erfordert
einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht
immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick
über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement
diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten
Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um
andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die
Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in
den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.},
  added-at = {2007-03-22T18:29:28.000+0100},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/nepomuk},
  booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft},
  editor = {Pellegrini, Tassilo and Blumauer, Andreas},
  interhash = {cc0f3d4fa8f36968f02837e3f9f5c57b},
  intrahash = {53e13744981f2c04d9239e0cf9b4e689},
  isbn = {3-540-29324-8},
  keywords = {2006 Wissensmanagement collaborative folksonomy from:pchirita knowledge l3s management myown nepomuk p2p semantic web wissensmanagement wp5},
  pages = {273-290},
  publisher = {Springer},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {Kollaboratives Wissensmanagement},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf},
  year = 2006
}