@inproceedings{krause2008antisocial,
  abstract = {The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.},
  address = {New York, NY, USA},
  author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd},
  booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web},
  doi = {10.1145/1451983.1451998},
  file = {krause2008antisocial.pdf:krause2008antisocial.pdf:PDF},
  groups = {public},
  interhash = {a45d40ac7776551301ad9dde5b25357f},
  intrahash = {5b6b648fd25c15d594404ae26fcda6b4},
  isbn = {978-1-60558-159-0},
  location = {Beijing, China},
  month = apr,
  pages = {61--68},
  publisher = {ACM},
  title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
  url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf},
  username = {dbenz},
  year = 2008
}

@incollection{tagging-cattuto,
  abstract = {{Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptions on the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity in terms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of the investigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {The Semantic Web - ISWC 2008},
  citeulike-article-id = {4718854},
  citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-88564-1\_39},
  citeulike-linkout-1 = {http://www.springerlink.com/content/9044260283881v78},
  doi = {10.1007/978-3-540-88564-1\_39},
  editor = {Sheth, Amit and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy and Thirunarayan, Krishnaprasad},
  interhash = {b44538648cfd476d6c94e30bc6626c86},
  intrahash = {022ccb7184fcd0e43092fca13fd56a00},
  journal = {The Semantic Web - ISWC 2008},
  pages = {615--631},
  posted-at = {2011-09-09 20:06:23},
  priority = {2},
  publisher = {Springer Berlin / Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {{Semantic Grounding of Tag Relatedness in Social Bookmarking Systems}},
  url = {http://tagora-project.eu/wp-content/2009/09/cattuto_iswc2008.pdf},
  volume = 5318,
  year = 2008
}

@article{jaeschke08discovering,
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  interhash = {cfca594f9dbe30694bfbcdeb40dc4e88},
  intrahash = {eb0bdaeab0aa5d4c528c97e2b10770b9},
  journal = {Journal of Web Semantics},
  number = 1,
  pages = {38-53},
  title = {Discovering Shared Conceptualizations in Folksonomies},
  url = {http://dx.doi.org/10.1016/j.websem.2007.11.004},
  volume = 6,
  year = 2008
}

@inproceedings{1468276,
  address = {Washington, DC, USA},
  author = {Benko, Borb\'{a}la Katalin and H\"{o}fig, Edzard and Brgulja, Nermin and Kusber, Rico},
  booktitle = {ASWN '08: Proceedings of the 2008 Eighth International Workshop on Applications and Services in Wireless Networks},
  doi = {http://dx.doi.org/10.1109/ASWN.2008.8},
  interhash = {e4ca13bc2f8955d3fb55e09a4e7e2e98},
  intrahash = {4a55d2e1c2960b886fab1980c58d69fd},
  isbn = {978-0-7695-3389-6},
  pages = {66--75},
  publisher = {IEEE Computer Society},
  title = {Adaptive Services in a Distributed Environment},
  year = 2008
}

@misc{david08a,
  address = {Darmstadt},
  author = {David, Klaus},
  booktitle = {iTEC2008},
  interhash = {c540d81b6c787af1eddeb5fc21d9a7b8},
  intrahash = {c3d35e2607a80e2dc8bebd748036eb85},
  month = {November},
  title = {Enabler heutiger und zukünftiger mobiler Netze und Anwendungen},
  year = 2008
}

@inproceedings{DBLP:conf/iwsos/KusberHD08,
  author = {Kusber, Rico and Haseloff, Sandra and David, Klaus},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {IWSOS},
  ee = {http://dx.doi.org/10.1007/978-3-540-92157-8_11},
  interhash = {acb5af9579c1391a6d79eb40356a988e},
  intrahash = {95ee5bdc03f773a99a5f1dd8b7a77a00},
  pages = {121-132},
  title = {An Approach to Autonomic Deployment Decision Making},
  year = 2008
}

@inproceedings{baumgarten2008,
  address = {Budapest, Hungary},
  author = {Baumgarten, Matthias and Bicocchi, Nicola and Curran, Kevin and Greer, Kieran and Kusber, Rico and Mamei, Marco and Mulvenna, Maurice and Nugent, Chris and Zambonelli, Franco},
  booktitle = {Proceedings of the Budapest Tutorial and Workshop on Autonomic Communications and Component-ware 2008},
  interhash = {aac98d7a6a2dd2b692dc8c6eb0388879},
  intrahash = {23c4350af6e515ad02254a2f43958af8},
  month = {July},
  title = {A Knowledge Network Toolkit for Autonomic Componentware},
  year = 2008
}

@book{david08d,
  editor = {David, Klaus},
  interhash = {47e8e4c0122649ca124dae331821dca4},
  intrahash = {501336187f68bdcafdcf4245d83ba664},
  month = {October},
  publisher = {Wiley},
  title = {Technologies for the Wireless Future: Wireless World Research Forum (WWRF)},
  volume = 3,
  year = 2008
}

@misc{david08b,
  address = {Berlin},
  author = {David, Klaus},
  booktitle = {Hessen IT Kongress 2008},
  interhash = {478f04127d6f4aec67a011144cf5b1fb},
  intrahash = {a2e4a692fcbd306306d5caaef793ea73},
  month = may,
  title = {Mobile Anwendungen und Dienste – Visionen, Herausforderungen und Einsatzmöglichkeiten},
  year = 2008
}

@inproceedings{Kusber2008,
  address = {Amsterdam},
  author = {Kusber, Rico and Haseloff, Sandra and David, Klaus},
  booktitle = {Proceedings of the IADIS Multi Conference on Computer Science and Information Systems - Intelligent Systems and Agents},
  interhash = {372a0734d460f7e5c077b7a833b41db9},
  intrahash = {620cc785060de302996d359438d3d791},
  month = {July},
  title = {Towards Autonomic Deployment Decision Making},
  year = 2008
}

@inproceedings{1380854,
  address = {Washington, DC, USA},
  author = {Sutterer, Michael and Droegehorn, Olaf and David, Klaus},
  booktitle = {AICT '08: Proceedings of the 2008 Fourth Advanced International Conference on Telecommunications},
  doi = {http://dx.doi.org/10.1109/AICT.2008.47},
  interhash = {14871a27310fb154f3335a42045f7d81},
  intrahash = {281ff5564fe416392599bf593cfbce92},
  isbn = {978-0-7695-3162-5},
  pages = {299--304},
  publisher = {IEEE Computer Society},
  title = {User Profile Selection by Means of Ontology Reasoning},
  year = 2008
}

@inproceedings{1332517,
  address = {Washington, DC, USA},
  author = {Sutterer, Michael and Droegehorn, Olaf and David, Klaus},
  booktitle = {ACHI '08: Proceedings of the First International Conference on Advances in Computer-Human Interaction},
  doi = {http://dx.doi.org/10.1109/ACHI.2008.23},
  interhash = {010f6394fc4a8f926586392a9cc4b1f9},
  intrahash = {0c6b1d487ece8a157629b0df6984b67f},
  isbn = {978-0-7695-3086-4},
  pages = {230--235},
  publisher = {IEEE Computer Society},
  title = {UPOS: User Profile Ontology with Situation-Dependent Preferences Support},
  year = 2008
}

@inproceedings{DBLP:conf/wowmom/DroegehornKLCBK08,
  author = {Droegehorn, Olaf and Koenig, Immanuel and Le-Jeune, Goulven and Cupillars, Julien and Belaunde, Mariano and Kovacs, Ernoe},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {WOWMOM},
  ee = {http://dx.doi.org/10.1109/WOWMOM.2008.4594818},
  interhash = {aacd1dcaa8a02c25a48e1a13cd045ea8},
  intrahash = {1e551083541d3e931b8f573d55bb6fa3},
  pages = {1-8},
  title = {Professional and end-user-driven service creation in the
               SPICE platform},
  year = 2008
}

@article{Knopp2008,
  author = {Knopp, Michael},
  editor = {Knopp, Michael},
  interhash = {604960ae2b6ae2a0f7df393f0ed61e59},
  intrahash = {2cfaad341b4780a66c17e56d0317d58a},
  pages = 156,
  title = {Digitalfotos als Beweismittel},
  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.},
  address = {New York, NY, USA},
  author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
  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},
  location = {Pittsburgh, PA, USA},
  pages = {157--166},
  publisher = {ACM},
  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{jaeschke2008tag,
  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 several recommendation algorithms on large-scale real life datasets: an adaptation of
user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences.  We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender.
},
  address = {Amsterdam},
  author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  doi = {10.3233/AIC-2008-0438},
  editor = {Giunchiglia, Enrico},
  interhash = {b2f1aba6829affc85d852ea93a8e39f7},
  intrahash = {955bcf14f3272ba6eaf3dadbef6c0b10},
  issn = {0921-7126},
  journal = {AI Communications},
  number = 4,
  pages = {231-247},
  publisher = {IOS Press},
  title = {Tag Recommendations in Social Bookmarking Systems},
  url = {http://dx.doi.org/10.3233/AIC-2008-0438},
  vgwort = {63},
  volume = 21,
  year = 2008
}

@inproceedings{jaeschke2008logsonomy,
  abstract = {In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us.},
  author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
  interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c},
  intrahash = {359e1eccdc524334d4a2ad51330f76ae},
  publisher = {AAAI Press},
  title = {Logsonomy -- A Search Engine Folksonomy},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
  year = 2008
}

@inproceedings{krause2008antisocialb,
  author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proc. of the Fourth International Workshop on  Adversarial Information Retrieval on the Web},
  interhash = {a45d40ac7776551301ad9dde5b25357f},
  intrahash = {6357f535000a383f228f1e8e56ca86ca},
  title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
  url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf},
  year = 2008
}

@inproceedings{krause2008comparison,
  address = {Glasgow, UK},
  author = {Krause, Beate and Hotho, Andreas and Stumme, Gerd},
  booktitle = {30th European Conference on IR Research, ECIR 2008},
  editor = {Macdonald, Craig and Ounis, Iadh and Plachouras, Vassilis and Ruthven, Ian and White, Ryen W.},
  interhash = {37598733b747093d97a0840a11beebf5},
  intrahash = {ad5f4664d1f5b967a0793b4a26a0edbb},
  isbn = {978-3-540-78645-0},
  misc = {vgwort=21,1},
  month = {April},
  pages = {101-113},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Comparison of Social Bookmarking with Traditional Search},
  volume = 4956,
  year = 2008
}

@book{alani2008proceedings,
  editor = {Alani, Harith and Staab, Steffen and Stumme, Gerd},
  interhash = {619002873d3523de9bdc9e4691b191a3},
  intrahash = {3b7c7ecfeb23871fae0e361f16e7f8de},
  month = {September},
  publisher = {Schloss Dagstuhl},
  title = {Proceedings of the Dagstuhl Seminar on Social Web Communities},
  url = {http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=08391},
  year = 2008
}