@inproceedings{tane04semantic,
  author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)},
  ee = {http://doi.acm.org/10.1145/1013369},
  interhash = {92089bd1e3e798b50fe7c82cd8333e7b},
  intrahash = {10efb9940c6f2881cd6c84b6c52bebd8},
  pages = {1-10},
  title = {Semantic resource management for the web: an e-learning application},
  url = {http://www.www2004.org/proceedings/docs/2p1.pdf},
  year = 2004
}

@proceedings{berendt2004web,
  address = {Heidelberg},
  editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd},
  interhash = {d7c78aa71fa7487dacfd9172467f1912},
  intrahash = {be8b91e0c05dde74a4af7123b949c6ac},
  isbn = {3-540-23258-3},
  note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/},
  publisher = {Springer},
  series = {LNAI},
  title = {Web Mining: From Web to Semantic Web, First European Web
               Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
               22, 2003, Revised Selected and Invited Papers},
  url = {http://springerlink.metapress.com/content/unvvag26dttf/},
  volume = 3209,
  year = 2004
}

@inproceedings{berendt2004roadmap,
  abstract = {The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.},
  address = {Heidelberg},
  author = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Web Mining: From Web to Semantic Web},
  editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd},
  ee = {http://springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3209{\&}spage=1},
  interhash = {a27cc056d337718c1e10a3f9e3048143},
  intrahash = {158a99f0088fcefa45b1eb7f96aa5673},
  pages = {1-22},
  publisher = {Springer},
  title = {A Roadmap for Web Mining: From Web to Semantic Web.},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf},
  volume = 3209,
  year = 2004
}

@incollection{berendt04usage,
  abstract = {Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage.  Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used.  This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining.},
  address = {Boston},
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Data Mining  Next Generation Challenges and Future Directions},
  editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena},
  interhash = {272317659fc9bad03d6083a7afc1bc35},
  intrahash = {0ef00fe39718eae61dca4d251b14578d},
  isbn = {0-262-61203-8},
  pages = {461-481},
  publisher = {AAAI Press},
  title = {Usage Mining for and on the Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf},
  year = 2004
}

@inproceedings{berendt05semantic,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space},
  editor = {Svatek, Vojtech and Snasel, Vaclav},
  interhash = {e4b853ff13b63a88b009610890b89348},
  intrahash = {f8826ba2790eeb857dd4becb31a08225},
  isbn = {80-248-0864-1},
  pages = {1-16},
  publisher = {Technical University of Ostrava},
  title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf},
  year = 2005
}

@proceedings{berendt05european,
  editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semerano, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and van Someren, Maarten},
  interhash = {6dfd547a42a7bd5ccacce75ea8875704},
  intrahash = {f306e43da22adede0286917d5d83eb3b},
  title = {Proc. of the European Web Mining Forum 2005},
  url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05},
  year = 2005
}

@article{themenheft2007webmining,
  author = {Hotho, Andreas and Stumme, Gerd},
  interhash = {39f94bf3a1663d9cec6a6cb8354a9bd9},
  intrahash = {e9535ec82afa53f44a1b37704aa9a71f},
  journal = {Künstliche Intelligenz},
  number = 3,
  pages = {5-8},
  title = {Mining the World Wide Web -- Methods, Ap-
plications, and Perspectives},
  url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758},
  year = 2007
}

@article{Gitter2008,
  author = {Gitter, Rotraud},
  editor = {Gitter, Rotraud},
  interhash = {39f24df231f472b990607109a04ea153},
  intrahash = {bc8e7af0b54013d32ef90c23f61cadbc},
  pages = {279-286},
  title = {Die Haftung der Betreiber von Web 2.0-Plattformen},
  year = 2008
}

@proceedings{themenheft2007webmining,
  editor = {Hotho, Andreas and Stumme, Gerd},
  interhash = {83c28b86f2ac897e906660e54e6fffc0},
  intrahash = {c73311bb72ad480d74125dbc9d94c450},
  journal = {Künstliche Intelligenz},
  number = 3,
  pages = {5-8},
  title = {Themenheft Web Mining, Künstliche Intelligenz},
  url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758},
  year = 2007
}

@book{Semantic2006Ackermann,
  address = {Heidelberg},
  editor = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten},
  interhash = {f4891d2967571b77f1276298f112158f},
  intrahash = {f8335dd42e7eec61d60bbeced71ff3be},
  isbn13 = {978-3-540-47697-9},
  issn = {0302-9743},
  publisher = {Springer},
  title = {Semantics, Web and Mining},
  url = {http://dx.doi.org/10.1007/11908678},
  year = 2006
}

@proceedings{maedche02information,
  address = {Aachen},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  editor = {Maedche, Alexander and Sattler, Kai-Uwe and Stumme, Gerd},
  ee = {http://doi.acm.org/10.1145/1013369},
  interhash = {8ec5e42e0173c7130e5f2d4c70ac1ac2},
  intrahash = {2537bcf40084c8492e0ab397ba6947fe},
  journal = {CEUR-WS},
  series = {CEUR Workshop Proceedings},
  title = {Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002)},
  url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-124/},
  volume = 124,
  year = 2004
}

@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
}

@article{hotho2010publikationsmanagement,
  abstract = {Kooperative Verschlagwortungs- bzw. Social-Bookmarking-Systeme wie Delicious, Mister Wong oder auch unser eigenes System BibSonomy erfreuen sich immer gr{\"o}{\ss}erer Beliebtheit und bilden einen zentralen Bestandteil des heutigen Web 2.0. In solchen Systemen erstellen Nutzer leichtgewichtige Begriffssysteme, sogenannte Folksonomies, die die Nutzerdaten strukturieren. Die einfache Bedienbarkeit, die Allgegenw{\"a}rtigkeit, die st{\"a}ndige Verf{\"u}gbarkeit, aber auch die M{\"o}glichkeit, Gleichgesinnte spontan in solchen Systemen zu entdecken oder sie schlicht als Informationsquelle zu nutzen, sind Gr{\"u}nde f{\"u}r ihren gegenw{\"a}rtigen Erfolg. Der Artikel f{\"u}hrt den Begriff Social Bookmarking ein und diskutiert zentrale Elemente (wie Browsing und Suche) am Beispiel von BibSonomy anhand typischer Arbeitsabl{\"a}ufe eines Wissenschaftlers. Wir beschreiben die Architektur von BibSonomy sowie Wege der Integration und Vernetzung von BibSonomy mit Content-Management-Systemen und Webauftritten. Der Artikel schlie{\ss}t mit Querbez{\"u}gen zu aktuellen Forschungsfragen im Bereich Social Bookmarking.},
  author = {Hotho, Andreas and Benz, Dominik and Eisterlehner, Folke and J{\"a}schke, Robert and Krause, Beate and Schmitz, Christoph and Stumme, Gerd},
  file = {dpunkt Product page:http\://hmd.dpunkt.de/271/05.html:URL},
  interhash = {4555775b639fe1ec65a302a61ee6532c},
  intrahash = {250d83c41fb10b89c73f54bd7040bd6e},
  issn = {1436-3011},
  journal = {HMD -- Praxis der Wirtschaftsinformatik},
  month = {#feb#},
  pages = {47-58},
  title = {{Publikationsmanagement mit BibSonomy -- ein Social-Bookmarking-System f{\"u}r Wissenschaftler}},
  volume = {Heft 271},
  year = 2010
}

@article{berendt2010bridging,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  doi = {DOI: 10.1016/j.websem.2010.04.008},
  interhash = {4969eb2b7bf1fabe60c5f23ab6383d77},
  intrahash = {f8d7bc2af5753906dc3897196daac18c},
  issn = {1570-8268},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  note = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences},
  number = {2-3},
  pages = {95 - 96},
  title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0},
  url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7},
  volume = 8,
  year = 2010
}

@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
}

@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
}