@inproceedings{cattuto2008semantica,
  abstract = {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For taskslike synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.},
  address = {Heidelberg},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {The Semantic Web -- ISWC 2008, Proc.Intl. Semantic Web Conference 2008},
  doi = {http://dx.doi.org/10.1007/978-3-540-88564-1_39},
  editor = {Sheth, Amit P. and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy W. and Thirunarayan, Krishnaprasad},
  file = {cattuto2008semantica.pdf:cattuto2008semantica.pdf:PDF},
  groups = {public},
  interhash = {b44538648cfd476d6c94e30bc6626c86},
  intrahash = {27198c985b3bdb6daab0f7e961b370a9},
  pages = {615--631},
  publisher = {Springer},
  series = {LNAI},
  title = {Semantic Grounding of Tag Relatedness in Social Bookmarking Systems},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/cattuto2008semantica.pdf},
  username = {dbenz},
  volume = 5318,
  year = 2008
}

@inproceedings{atzmueller2011towards,
  author = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)},
  editor = {Passant, Alexandre and Fernández, Sergio and Breslin, John and Bojars, Uldis},
  interhash = {65222f0ccc23063a2a15c0a7fd5513a0},
  intrahash = {46119d149e72a77972b025899aa3a94f},
  title = {Towards Mining Semantic Maturity in Social Bookmarking Systems},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/atzmueller2011towards.pdf},
  year = 2011
}

@inproceedings{benz2006automatic,
  abstract = {Bookmarks (or Favorites, Hotlists) are a popular strategy to relocate interesting websites on the WWW by creating a personalized local URL repository. Most current browsers offer a facility to store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable taxonomy. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification?? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbour-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. Additionally, a procedure to generate keyword recommendations is proposed to ease the annotation of new bookmarks. A prototype system called CariBo has been implemented as a plugin of the central bookmark server software SiteBar. A case study conducted with real user data supports the validity of the approach.},
  address = {Edinburgh, Scotland},
  author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars},
  booktitle = {Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006},
  file = {benz2006automatic.pdf:benz2006automatic.pdf:PDF},
  interhash = {72efbe1b69d12bc3ce35522bc1c83e82},
  intrahash = {9d685c05008804a45b72a43586777b3b},
  month = may,
  note = {isbn = {085432853X}},
  title = {Automatic Bookmark Classification - A Collaborative Approach},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2006automatic.pdf},
  year = 2006
}

@inproceedings{bade2008evaluation,
  abstract = {Several learning tasks comprise hierarchies. Comparison with a "goldstandard" is often performed to evaluate the quality of a learned hierarchy. We assembled various similarity metrics that have been proposed in different disciplines and compared them in a unified interdisciplinary framework for hierarchical evaluation which is based on the distinction of three fundamental dimensions. Identifying deficiencies for measuring structural similarity, we suggest three new measures for this purpose, either extending existing ones or based on new ideas. Experiments with an artificial dataset were performed to compare the different measures. As shown by our results, the measures vary greatly in their properties.},
  address = {Berlin-Heidelberg},
  author = {Bade, Korinna and Benz, Dominik},
  booktitle = {Proceedings of the 32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)},
  file = {bade2008evaluation.pdf:bade2008evaluation.pdf:PDF},
  groups = {public},
  interhash = {8bb09e3197d01f7c23481c2cd68533af},
  intrahash = {ec033805bc90ab87c99860e29f0d00dd},
  note = {in press},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Evaluation Strategies for Learning Algorithms of Hierarchical Structures},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/bade2008evaluation.pdf},
  username = {dbenz},
  year = 2008
}

@inproceedings{benz2008analyzing,
  abstract = {The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.},
  author = {Benz, Dominik and Grobelnik, Marko and Hotho, Andreas and Jäschke, Robert and Mladenic, Dunja and Servedio, Vito D. P. and Sizov, Sergej and Szomszor, Martin},
  booktitle = {Proceedings of the Dagstuhl Seminar on Social Web Communities},
  editor = {Alani, Harith and Staab, Steffen and Stumme, Gerd},
  file = {benz2008analyzing.pdf:benz2008analyzing.pdf:PDF},
  groups = {public},
  interhash = {d738d9d90c1c466ee0a73ac0cc3dc4c1},
  intrahash = {6918e578527dec96abb5718f105d9f78},
  issn = {1862-4405},
  number = 08391,
  title = {Analyzing Tag Semantics Across Collaborative Tagging Systems},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2008analyzing.pdf},
  username = {dbenz},
  year = 2008
}

@inproceedings{benz2009characterizing,
  address = {Bled, Slovenia},
  author = {Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)},
  file = {benz2009characterizing.pdf:benz2009characterizing.pdf:PDF},
  groups = {public},
  interhash = {de5e58b26200e44112d9791f39e7523d},
  intrahash = {b697a98a7340585594455ee2e81d238a},
  month = {September},
  title = {Characterizing Semantic Relatedness of Search Query Terms},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf},
  username = {dbenz},
  year = 2009
}

@inproceedings{mitzlaff2010community,
  abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation  of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social
bookmarking application BibSonomy. The results indicate that the evidence
networks reflect the relative rating of the explicit ones very well.},
  address = {Barcelona, Spain},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)},
  interhash = {6d5b307fdf8ceb7dc191788fc4b61299},
  intrahash = {d93c7cc72cd40e027d5421fdafe90a9a},
  title = {Community Assessment using Evidence Networks},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2010},
  year = 2010
}

@inproceedings{benz2009managing,
  abstract = {In this demo we present BibSonomy, a social bookmark and publication sharing system.},
  address = {New York, NY, USA},
  author = {Benz, Dominik and Eisterlehner, Folke and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd},
  booktitle = {HT '09: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia},
  doi = {10.1145/1557914.1557969},
  editor = {Cattuto, Ciro and Ruffo, Giancarlo and Menczer, Filippo},
  file = {benz2009managing.pdf:benz2009managing.pdf:PDF},
  interhash = {aa341801cf9a31d963fccb8a331043dc},
  intrahash = {99cafad8ce2afb5879c6c85c14cc5259},
  isbn = {978-1-60558-486-7},
  month = jun,
  pages = {323--324},
  publisher = {ACM},
  title = {Managing publications and bookmarks with BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009managing.pdf},
  year = 2009
}

@article{martin2011enhancing,
  author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd},
  booktitle = {it - Information Technology},
  comment = {doi: 10.1524/itit.2011.0631},
  doi = {10.1524/itit.2011.0631},
  interhash = {e57bff1f73b74e6f1fe79e4b40956c35},
  intrahash = {1dc34c1620c45a9bbd548bb73f989aea},
  issn = {16112776},
  journal = {it - Information Technology},
  month = may,
  number = 3,
  pages = {101--107},
  privnote = {doi: 10.1524/itit.2011.0631},
  publisher = {Oldenbourg Wissenschaftsverlag GmbH},
  title = {Enhancing Social Interactions at Conferences},
  url = {http://dx.doi.org/10.1524/itit.2011.0631},
  volume = 53,
  year = 2011
}

@article{benz2010social,
  abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.},
  address = {Berlin / Heidelberg},
  affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {5eb699b2e53803ca9e5fadf22d8b5966},
  issn = {1066-8888},
  issue = {6},
  journal = {The VLDB Journal},
  keyword = {Computer Science},
  pages = {849-875},
  publisher = {Springer},
  title = {The social bookmark and publication management system bibsonomy},
  url = {http://dx.doi.org/10.1007/s00778-010-0208-4},
  volume = 19,
  year = 2010
}

@inproceedings{benz2010semantics,
  address = {Raleigh, NC, USA},
  author = {Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)},
  interhash = {dbd2ac30cfb0faa29413275afc9b4387},
  intrahash = {ba43b0db4b8f7cb091fd55d59e170477},
  title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge},
  url = {http://journal.webscience.org/361/},
  year = 2010
}

@inproceedings{mitzlaff2010visit,
  address = {Toronto, Canada},
  author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia},
  file = {mitzlaff2010visit.pdf:mitzlaff2010visit.pdf:PDF},
  interhash = {5584c4c57fcd8eb4663df8b114bcf09c},
  intrahash = {a97c4f7e80dcb666450acf697002155e},
  note = {(to appear)},
  title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2010visit.pdf},
  year = 2010
}

@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
}

@inproceedings{benz2010academic,
  abstract = {The PUMA project fosters the Open Access movement und aims at a better support of the researcher’s publication work. PUMA stands for an integrated solution, where the upload of a publication results automatically in an update of both the personal and institutional homepage, the creation of an entry in a social bookmarking systems like BibSonomy, an entry in the academic reporting system of the university, and its publication in the institutional repository. In this poster, we present the main features of our solution.
  },
  address = {Berlin/Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd and Halle, Axel and Lima, Angela Gerlach Sanches and Steenweg, Helge and Stefani, Sven},
  booktitle = {Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL) 2010},
  editor = {Lalmas, M. and Jose, J. and Rauber, A. and Sebastiani, F. and Frommholz, I.},
  interhash = {db94bafecb815048ede11f6d28e5a9f1},
  intrahash = {11bdf4636bc92aed96461eace25484f7},
  pages = {417--420},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Academic Publication Management with PUMA - collect, organize and share publications},
  volume = 6273,
  year = 2010
}

@article{benz2007supporting,
  abstract = {Bookmarks (or favorites, hotlists) are popular strategies to relocate interesting websites on the WWW by creating a personalized URL repository. Most current browsers offer a facility to locally store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable organization structure. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification?? of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbor-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. A prototype system called CariBo has been implemented as a plugin for the central bookmark server software SiteBar. All findings have been evaluated on a reasonably large scale, real user dataset with promising results, and possible implications for shared and social bookmarking systems are discussed.},
  author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars},
  doi = {http://dx.doi.org/10.1016/j.comnet.2007.06.014},
  file = {benz2007supporting.pdf:benz2007supporting.pdf:PDF},
  interhash = {181404c6a55baf6fe5db8448ac0d5bf0},
  intrahash = {ec4387ab22950b38a0c152d4f33b0987},
  journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure},
  number = 16,
  pages = {4574--4585},
  title = {Supporting Collaborative Hierarchical Classification: Bookmarks as an Example},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007supporting.pdf},
  volume = 51,
  year = 2007
}

@incollection{hotho2009social,
  abstract = {BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitungder Universit{\"a}t Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalit{\"a}t, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein.},
  address = {Berlin, Heidelberg},
  author = {Hotho, Andreas and Jäschke, Robert and Benz, Dominik and Grahl, Miranda and Krause, Beate and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Social Semantic Web},
  chapter = 18,
  doi = {10.1007/978-3-540-72216-8},
  editor = {Blumauer, Andreas and Pellegrini, Tassilo},
  file = {hotho2009social.pdf:hotho2009social.pdf:PDF},
  interhash = {79dbca4289cfe913aa7f7eb7e0dccea7},
  intrahash = {5ccf05a86e7f1a089ae83dd47568e6de},
  isbn = {978-3-540-72215-1},
  issn = {1439-3107},
  pages = {363--391},
  publisher = {Springer},
  series = {X.media.press},
  title = {Social Bookmarking am Beispiel BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/hotho2009social.pdf},
  year = 2009
}

@inproceedings{mitzlaff2011community,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
  intrahash = {0f45e870093c053e6f41f54c14bda46b},
  series = {LNAI},
  title = {{Community Assessment using Evidence Networks}},
  volume = 6904,
  year = 2011
}

@article{benz2010query,
  abstract = {Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information ofquery logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph ofusers, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users addtags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on threecomparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typicalfolksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logsas well. },
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd},
  interhash = {dae3931a5f445dc67bf111b26f753c36},
  intrahash = {bf96c01262d15fb6eaaf558ecb9a9e69},
  journal = {Datenbank-Spektrum},
  month = jun,
  number = 1,
  pages = {15--24},
  title = {Query Logs as Folksonomies},
  url = {http://dx.doi.org/10.1007/s13222-010-0004-8},
  volume = 10,
  year = 2010
}

@article{atzmueller2011enhancing,
  author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd},
  booktitle = {it - Information Technology},
  comment = {doi: 10.1524/itit.2011.0631},
  doi = {10.1524/itit.2011.0631},
  interhash = {e57bff1f73b74e6f1fe79e4b40956c35},
  intrahash = {1dc34c1620c45a9bbd548bb73f989aea},
  issn = {16112776},
  journal = {it - Information Technology},
  month = may,
  number = 3,
  pages = {101--107},
  privnote = {doi: 10.1524/itit.2011.0631},
  publisher = {Oldenbourg Wissenschaftsverlag GmbH},
  title = {Enhancing Social Interactions at Conferences},
  url = {http://dx.doi.org/10.1524/itit.2011.0631},
  volume = 53,
  year = 2011
}

@article{benz2010social,
  abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.},
  address = {Berlin / Heidelberg},
  affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c72ed831e0d752eb3613f90e45c71c44},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  keyword = {Computer Science},
  number = 6,
  pages = {849-875},
  publisher = {Springer},
  title = {The social bookmark and publication management system bibsonomy},
  url = {http://dx.doi.org/10.1007/s00778-010-0208-4},
  volume = 19,
  year = 2010
}