@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{DemartiniN08,
  abstract = {Expert retrieval has attracted deep attention because of the
huge economical impact it can have on enterprises. The classical dataset
on which to perform this task is company intranet (i.e., personal pages,
e-mails, documents). We propose a new system for nding experts in the
user's desktop content. Looking at private documents and e-mails of the
user, the system builds expert proles for all the people named in the
desktop. This allows the search system to focus on the user's topics of
interest thus generating satisfactory results on topics well represented on
the desktop. We show, with an articial test collection, how the desktop
content is appropriate for nding experts on the topic the user is
interested in.},
  added-at = {2009-01-21T11:18:18.000+0100},
  author = {Demartini, Gianluca and Niederée, Claudia},
  biburl = {http://www.bibsonomy.org/bibtex/2b0ddf832fe0f348365b55c2a06d06789/nepomuk},
  interhash = {189cd19d6c364d3571c6860e771b2a4b},
  intrahash = {b0ddf832fe0f348365b55c2a06d06789},
  keywords = {10 2008 from:demartini l3s lang:en wp5},
  timestamp = {2009-01-21T11:18:18.000+0100},
  title = {Finding Experts on the Semantic Desktop},
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-403/paper2.pdf},
  year = 2008
}

@inproceedings{SteDemNie08,
  abstract = {In this paper we present metadata based recommendation algorithms addressing two scenarios within social desktop communities: a) recommendation of resources from the co-worker's desktop, and b) recommendation of metadata for enriching the own annotation layer. Together with the algorithms we present first evaluation results as well as empirical evaluations showing that metadata based recommendations can be used in such distributed social desktop communities. },
  added-at = {2009-01-21T09:47:09.000+0100},
  address = {Linz, Austria},
  author = {Stecher, Rodolfo and Demartini, Gianluca and Niederée, Claudia},
  biburl = {http://www.bibsonomy.org/bibtex/2cc713ef72448b44e2a00473bf39d2fc3/nepomuk},
  booktitle = {10th International Conference Information Integration and Web-based Applications & Services },
  interhash = {4f3b1dca9652fb5a7b78fe42e8cde1f5},
  intrahash = {cc713ef72448b44e2a00473bf39d2fc3},
  keywords = {11-2008 L3S WP5 from:stecher},
  month = { November},
  timestamp = {2009-01-21T09:47:09.000+0100},
  title = {Social Recommendations of Content and Metadata},
  year = 2008
}

@inproceedings{1458189,
  abstract = {We present a flexible information integration approach which addresses the  dynamic integration needs in a personal desktop environment where only partial mappings are defined between the sources to be integrated. Our   approach is based on query rewriting using substitution rules. In addition to exploiting defined mappings, we employ substitution strategies, which are inspired by the idea of using wildcards in querying and filtering tasks. Starting from a triple based query language as used for querying RDF data, unmapped ontological elements are substituted in a controlled way with variables, leading to a controlled form of query relaxation. In addition, the approach also provides evidences for refining the existing mapping based on the results of executing the relaxed queries. Different strategies for replacing non-matched ontology elements with variables are presented and evaluated over real-world data sets.},
  added-at = {2009-01-21T09:47:09.000+0100},
  address = {New York, NY, USA},
  author = {Stecher, Rodolfo and Niederée, Claudia and Nejdl, Wolfgang},
  biburl = {http://www.bibsonomy.org/bibtex/254a249ca255a0fe2c67230eb2a484756/nepomuk},
  booktitle = {CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management},
  doi = {http://doi.acm.org/10.1145/1458082.1458189},
  interhash = {2fd3aa2834f5ed1f78b0a4f4ae61be3a},
  intrahash = {54a249ca255a0fe2c67230eb2a484756},
  isbn = {978-1-59593-991-3},
  keywords = {10-2008 L3S WP5 from:stecher},
  location = {Napa Valley, California, USA},
  pages = {797--806},
  publisher = {ACM},
  timestamp = {2009-01-21T09:47:09.000+0100},
  title = {Wildcards for lightweight information integration in virtual desktops},
  year = 2008
}

@article{4746741,
  abstract = {Light-weight information integration has to be able to effectively deal with settings where only partial mappings between the information sources to be integrated are defined. In our query rewriting approach, such partial mappings are used as the basis for defining several strategies to substitute elements in the query, and for introducing wildcards for relaxing the query when mappings are missing. The approach also supports the extension and refinement of the existing mappings based on the achieved query results and optional feedback of the user. This paper presents the proposed rewriting strategies, focusing on strategies exploiting ontological knowledge, and a comparison and evaluation of the strategies for real-world datasets.},
  added-at = {2009-01-21T09:47:09.000+0100},
  author = {Stecher, Rodolfo and Niederée, Claudia and Nejdl, Wolfgang},
  biburl = {http://www.bibsonomy.org/bibtex/2006216392f06233f8888a67b222ae4a7/nepomuk},
  doi = {10.1109/ICDIM.2008.4746741},
  interhash = {0fa36681efb210b124ba4c18145dde76},
  intrahash = {006216392f06233f8888a67b222ae4a7},
  journal = {Digital Information Management, 2008. ICDIM 2008. Third International Conference on},
  keywords = {11-2008 L3S WP5 from:stecher},
  month = {Nov.},
  pages = {375-380},
  timestamp = {2009-01-21T09:47:09.000+0100},
  title = {Query rewriting for lightweight information integration},
  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{iceis08demartini,
  abstract = {Enterprise Search Systems are requested to provide more and more functionalities for supporting decision
at the management level. An important aspect to consider is the human power and the knowledge which is
available. For this reason, in this paper, after extracting a list of requirements out of a specific scenario, and
presenting the previous work, we describe an improved approach to compare experts in order to retrieve and
present to the user the most appropriate candidates for a given project},
  added-at = {2008-08-13T11:22:16.000+0200},
  author = {Demartini, Gianluca},
  biburl = {http://www.bibsonomy.org/bibtex/2f5e9298a72b40bad37e1d4ab19b88801/nepomuk},
  booktitle = {10th International Conference on Enterprise Information Systems, ICEIS 2008},
  interhash = {b6ad402072a09ae2d52a6f1d16d35d5c},
  intrahash = {f5e9298a72b40bad37e1d4ab19b88801},
  keywords = {from:demartini l3s nepomuk wp5},
  month = {June},
  timestamp = {2008-08-13T11:22:16.000+0200},
  title = {Comparing People in the Enterprise},
  year = 2008
}

@article{fews07demartini,
  abstract = {When we want to find experts on the Web we might want to search where the knowledge is created by the users. One of such knowledge repository is Wikipedia. People expertises are described in Wikipedia pages and also the Wikipedia users can be considered experts on the topics they produce content on. In this paper we propose algorithms to find experts in Wikipedia. The two different approaches are finding experts in the Wikipedia content or among the Wikipedia users.
We also use semantics from WordNet and Yago in order to disambiguate expertise topics and to improve the retrieval effectiveness. In the end, we show how our methodology can be implemented in a system in order to improve the expert retrieval effectiveness.},
  added-at = {2008-08-13T11:22:16.000+0200},
  author = {Demartini, Gianluca},
  biburl = {http://www.bibsonomy.org/bibtex/255d56872b4e905b6cf8612864b3bfa9b/nepomuk},
  interhash = {36ad921facf53d5dc7b4f7c4b6e3f9d3},
  intrahash = {55d56872b4e905b6cf8612864b3bfa9b},
  journal = {FEWS 2007: Finding Experts on the Web with Semantics Workshop at ISWC 2007 + ASWC 2007},
  keywords = {from:demartini l3s nepomuk wp5},
  month = {November},
  timestamp = {2008-08-13T11:22:16.000+0200},
  title = {Finding Experts Using Wikipedia},
  year = 2007
}

@article{pikm07demartini,
  abstract = {Enterprise search is very different from Web search (for example
in the link structure or in the user’s needs and goal)
and some steps have been already done to exploit these differences
in order to improve the effectiveness of enterprise
search. In this paper we present the state of the art of the enterprise
search field with some open issues. We also present
a research plan that aims at using Information Retrieval,
Semantic Web, and User Modelling techniques to cope with
these issues improving the current state of enterprise search.},
  added-at = {2008-08-13T11:22:16.000+0200},
  author = {Demartini, Gianluca},
  biburl = {http://www.bibsonomy.org/bibtex/2b3084a6c64ccf9314a1441b6d05b9469/nepomuk},
  interhash = {029de3351a2dbf35c918d1f6581e371b},
  intrahash = {b3084a6c64ccf9314a1441b6d05b9469},
  journal = {PIKM 2007: 1st ACM International Workshop for Ph.D. Students in Information and Knowledge Management},
  keywords = {from:demartini l3s nepomuk wp5},
  month = {November},
  timestamp = {2008-08-13T11:22:16.000+0200},
  title = {Leveraging Semantic Technologies for Enterprise Search},
  year = 2007
}

@inproceedings{pim08chernov,
  abstract = {The effective evaluation of Personal Information Management
is a crucial problem for the research community. While
evaluation methodologies for retrieval on the Web and in
digital libraries are well-developed, the experiments with the
advanced desktop tools are neither repeatable nor comparable.
As privacy concerns do not allow to copy and distribute
personal data outside the research lab, we suggest to overcome
this problem by creation of desktop datasets within
different research groups using a single methodology and
a common set of tools. A dataset can include not only a
static snapshot of the desktop documents, but also the logs
of user activity on the desktop within several last months.
We present the structure of the required dataset, a set of implemented
tools and a sample dataset collected within the
L3S Research Center.},
  added-at = {2008-08-13T11:22:16.000+0200},
  author = {Chernov, Sergey and Demartini, Gianluca and Herder, Eelco and Kopycki, Michał and Nejdl, Wolfgang},
  biburl = {http://www.bibsonomy.org/bibtex/249e729a1b7509260f06929d0fb97f86a/nepomuk},
  booktitle = {Personal Information Management Workshop at CHI 2008},
  interhash = {3723004d4c1f6403bd770971ad992145},
  intrahash = {49e729a1b7509260f06929d0fb97f86a},
  keywords = {from:demartini l3s nepomuk wp5},
  month = {April},
  timestamp = {2008-08-13T11:22:16.000+0200},
  title = {Evaluating Personal Information Management Using an Activity Logs Enriched Desktop Dataset},
  url = {http://pim2008.ethz.ch/papers/pim2008-chernov-etal.pdf},
  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{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{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
}

@article{costache07personlizedPR,
  added-at = {2007-03-22T18:29:28.000+0100},
  author = {Paiu, Raluca and Costache, Stefania},
  biburl = {http://www.bibsonomy.org/bibtex/202e15bce218d3fae877316dbfb58e942/nepomuk},
  booktitle = {Proc. of the 19th Intl. CAiSE Conference},
  editor = {CAiSE},
  interhash = {daab0b3579002d042ceab407117f6fcb},
  intrahash = {02e15bce218d3fae877316dbfb58e942},
  keywords = {desktopsearch distributed from:pchirita l3s nepomuk ranking wp5},
  timestamp = {2007-03-22T18:29:28.000+0100},
  title = {Personalizing PageRank-Based Ranking over Distributed Collections},
  year = 2007
}

@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
}