@inbook{hotho2008bookmarking,
        title = {Social Bookmarking},
        address = {München},
        author = {Andreas Hotho},
        booktitle = {Web 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software},
        editor = {Andrea Back and Norbert Gronau and Klaus Tochtermann},
        pages = {26-38},
        publisher = {Oldenbourg Verlag},
        year = 2008,
        url = {http://www.amazon.de/gp/redirect.html%3FASIN=3486585797%26tag=ws%26lcode=xm2%26cID=2025%26ccmID=165953%26location=/Web-2-0-Unternehmenspraxis-Grundlagen-Fallstudien/dp/3486585797%253FSubscriptionId=13CT5CVB80YFWJEPWS02},
        ean = {9783486585797},
	asin = {3486585797},
	isbn = {9783486585797},
	biburl = {http://www.bibsonomy.org/bibtex/2b54f6557893e3ab9d1eb83b0baeb136e/stumme},
	keywords = {bookmarking folksonomy social}
}

@inproceedings{hotho2006entstehen,
        title = {Das Entstehen von Semantik in BibSonomy},
        address = {Baden-Baden},
        author = {Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
        booktitle = {Social Software in der Wertschöpfung},
        publisher = {Nomos},
        year = 2006,
        url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006entstehen.pdf},
        abstract = {Immer mehr Soziale-Lesezeichen-Systeme entstehen im heutigen Web. In solchen Systemen erstellen die Nutzer leichtgewichtige begriffliche Strukturen, so genannte Folksonomies. Ihren Erfolg verdanken sie der Tatsache, dass man keine speziellen Fähigkeiten benötigt, um an der Gestaltung mitzuwirken. In diesem Artikel beschreiben wir unser System BibSonomy. Es erlaubt das Speichern, Verwalten und Austauschen sowohl von Lesezeichen (Bookmarks) als auch von Literaturreferenzen in Form von BibTeX-Einträgen. Die Entwicklung des verwendeten Vokabulars und der damit einhergehenden Entstehung einer gemeinsamen Semantik wird detailliert diskutiert.},
	biburl = {http://www.bibsonomy.org/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/stumme},
	keywords = {2006 tagora pagerank nepomuk stumme tagging folksonomies association UniK semantik folkrank tags tagorapub hotho semantics schmitz BibSonomy folksonomy rules bibsonomy jaeschke}
}

@inproceedings{krause2008antisocial,
        title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
        author = {Beate Krause and Andreas Hotho and Gerd Stumme},
        booktitle = {Proc. of the Fourth International Workshop on  Adversarial Information Retrieval on the Web},
        year = 2008,
        url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf},
        biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/stumme},
	keywords = {2.0 bookmarking web tagger myown folksonomy social systems folksonomies 2008 tagorapub spam web2.0}
}

@inproceedings{cattuto08-semantic,
        title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems},
        address = {Patras, Greece},
        author = {Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme},
        booktitle = {Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)},
        month = {July},
        year = 2008,
        url = {http://olp.dfki.de/olp3/},
        abstract = {Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.},
	biburl = {http://www.bibsonomy.org/bibtex/23b0aca61b24e4343bd80390614e3066e/stumme},
	keywords = {tagging folksonomies semantic folksonomy web2.0 systems collaborative myown 2.0 web 2008}
}

@inproceedings{grahl07conceptualKdml,
        title = {Conceptual Clustering of Social Bookmark Sites},
        author = {Miranda Grahl and Andreas Hotho and Gerd Stumme},
        booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
        editor = {Alexander Hinneburg},
        month = {sep},
        pages = {50-54},
        publisher = {Martin-Luther-Universität Halle-Wittenberg},
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf},
        isbn = {978-3-86010-907-6},
	vgwort = {14},
	biburl = {http://www.bibsonomy.org/bibtex/26d5188d66564fe4ed7386e28868504de/stumme},
	keywords = {bookmarking collaborative myown tagorapub 2007 folksonomy clustering Social conceptual folksonomies bookmark tagging social}
}

@article{peters08paradigmatic,
        title = {Paradigmatic and Syntagmatic Relations in Knowledge Organization Systems},
        author = {Isabella Peters and Katrin Weller},
        journal = {Information Wissenschaft und Praxis},
        number = 2,
        pages = {100-107},
        volume = 59,
        year = 2008,
        url = {http://wwwalt.phil-fak.uni-duesseldorf.de/infowiss/admin/public_dateien/files/35/1204555002peters013_.htm},
        biburl = {http://www.bibsonomy.org/bibtex/27fab7108fc3cf9c3f7bc4e81846969f9/stumme},
	keywords = {syntagmatic paradigms syntagms folksonomies folksonomy paradigmatic}
}

@inproceedings{Jaeschke2008logsonomy,
        title = {Logsonomy — A Search Engine Folksonomy},
        author = {Robert Jäschke and Beate Krause and Andreas Hotho and Gerd Stumme},
        booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
        publisher = {AAAI Press},
        year = 2008,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf},
        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.},
	biburl = {http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/stumme},
	keywords = {engine 2008 folksonomy myown search logsonomy tagorapub logsonomies folksonomies}
}

@inproceedings{krause2008comparison,
        title = {A Comparison of Social Bookmarking  with Traditional Search},
        author = {Beate Krause and Andreas Hotho and Gerd Stumme},
        booktitle = {Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008},
        editor = {Craig Macdonald and Iadh Ounis and Vassilis Plachouras and Ian Ruthven and Ryen W. White},
        pages = {101-113},
        year = 2008,
        abstract = {Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have been developed that transfer the idea of link-based rankings in the Web to a social bookmarking system’s
data structure. These rankings differ from traditional search engine rankings in that they incorporate the rating of users. 

In this study, we compare search in social bookmarking systems with traditionalWeb search. In the first part, we compare the user activity and behaviour in both kinds of systems, as well as the overlap of the underlying sets of URLs. In the second part,we compare graph-based and vector space rankings for social bookmarking systems with commercial search engine rankings.

Our experiments are performed on data of the social bookmarking system Del.icio.us and on rankings and log data from Google, MSN, and AOL. We will show that part of the difference between the systems is due to different behaviour (e. g., the concatenation of multi-word lexems
to single terms in Del.icio.us), and that real-world events may trigger similar behaviour in both kinds of systems. We will also show that a graph-based ranking approach on folksonomies yields results that are closer to the rankings of the commercial search engines than vector space
retrieval, and that the correlation is high in particular for the domains that are well covered by the social bookmarking system.},
	biburl = {http://www.bibsonomy.org/bibtex/2a412eda2e397f691b5581e0622c50eeb/stumme},
	keywords = {2008 folksonomy comparison folksonomies bookmarking social myown tagorapub search}
}

@inproceedings{schmitz2006mining,
        title = {Mining Association Rules in Folksonomies},
        address = {Berlin, Heidelberg},
        author = {Christoph Schmitz and Andreas Hotho and Robert J�schke and Gerd Stumme},
        booktitle = {Data Science and Classification: Proc. of the 10th IFCS Conf.},
        editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. {\v Z}iberna},
        pages = {261--270},
        publisher = {Springer},
        series = {Studies in Classification, Data Analysis, and Knowledge Organization},
        year = 2006,
        biburl = {http://www.bibsonomy.org/bibtex/240a36107fb337776c60ab6c85991497e/stumme},
	keywords = {folksonomy myown OntologyHandbook 2006 FCA association rule}
}

@inproceedings{schmitz2006mining,
        title = {Mining Association Rules in Folksonomies},
        author = {Christoph Schmitz and Andreas Hotho and Robert J{\"a}schke and Gerd Stumme},
        booktitle = {Proceedings of the IFCS 2006 Conference},
        month = {July},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        year = 2006,
        biburl = {http://www.bibsonomy.org/bibtex/22b03548ecac6af9bb56dae6bdf3d9b67/stumme},
	keywords = {rule folksonomy OntologyHandbook association FCA}
}

@misc{citeulike:484851,
        title = {Collaborative tagging as a tripartite network},
        author = {R. Lambiotte and M. Ausloos},
        month = {Dec},
        note = {{\tt arXiv:cs.DS/0512090}},
        year = 2005,
        url = {http://arxiv.org/abs/cs.DS/0512090},
        id = {484851},
	priority = {3},
	comment = {Paper about the three parts USERS, RESOURCES and TAGS.},
	eprint = {cs.DS/0512090},
	abstract = {We describe online collaborative communities by tripartite networks,
    the nodes being persons, items and tags. We introduce projection
    methods in order to uncover the structures of the networks, i.e.
    communities of users, genre families... <br />To do so, we focus
    on the correlations between the nodes, depending on their profiles,
    and use percolation techniques that consist in removing less correlated
    links and observing the shaping of disconnected islands. The structuring
    of the network is visualised by using a tree representation. The
    notion of diversity in the system is also discussed.},
	biburl = {http://www.bibsonomy.org/bibtex/265c6f348a54f872fb3e60b4bd64b485b/stumme},
	keywords = {taxonomy FCA tagging collaboration folksonomy OntologyHandbook discovery}
}

@inproceedings{jaeschke06trias,
        title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
        address = {Hong Kong},
        author = {Robert J�schke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme},
        booktitle = {Proceedings of the 6th IEEE International Conference on Data Mining
    (ICDM 06)},
        month = {December},
        pages = {907-911},
        publisher = {IEEE Computer Society},
        year = 2006,
        url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006trias.pdf},
        issn = {1550-4786},
	isbn = {0-7695-2701-9},
	vgwort = {19},
	doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162},
	biburl = {http://www.bibsonomy.org/bibtex/238ab0f59191ec7ed1f0e9325685c2860/stumme},
	keywords = {OntologyHandbook analysis formal fca 2006 lattices trias tagging concept tri folksonomy folksonomies nepomuk FCA myown iceberg algorithm triadic}
}

@inproceedings{hotho2006information,
        title = {Information Retrieval in Folksonomies: Search and Ranking},
        address = {Heidelberg},
        author = {Andreas Hotho and Robert J�schke and Christoph Schmitz and Gerd Stumme},
        booktitle = {The Semantic Web: Research and Applications},
        editor = {York Sure and John Domingue},
        month = {June},
        pages = {411-426},
        publisher = {Springer},
        series = {LNAI},
        volume = 4011,
        year = 2006,
        biburl = {http://www.bibsonomy.org/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/stumme},
	keywords = {IR myown mimose retrieval pagerank folkrank OntologyHandbook 2006 informationretrieval FCA ranking information folksonomy}
}

@inproceedings{hotho2006information,
        title = {Information Retrieval in Folksonomies: Search and Ranking},
        author = {Andreas Hotho and Robert J{\"a}schke and Christoph Schmitz and Gerd Stumme},
        booktitle = {Proceedings of the 3rd European Semantic Web Conference},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        year = 2006,
        biburl = {http://www.bibsonomy.org/bibtex/2087d10ce5603cef6c6a8b443700368a2/stumme},
	keywords = {information folkrank folksonomy retrieval search ranking graph rank pagerank OntologyHandbook FCA mining seminar2006}
}

@inproceedings{hjss06bibsonomy,
        title = {{BibSonomy}: A Social Bookmark and Publication Sharing System},
        author = {Andreas Hotho and Robert J{\"a}schke and Christoph Schmitz and Gerd Stumme},
        booktitle = {Proc. of the ICCS 2006 Conceptual Structures Tool Interoperability
    Workshop},
        note = {(to appear)},
        year = 2006,
        biburl = {http://www.bibsonomy.org/bibtex/24ca695ae4501bd56c03e435306d7c5a0/stumme},
	keywords = {social bibsonomy iccs folksonomy OntologyHandbook bookmarking FCA}
}

@techreport{GH05structure,
        title = {The Structure of Collaborative Tagging Systems},
        author = {Scott Golder and Bernardo A. Huberman},
        institution = {Information Dynamics Lab, HP Labs    },
        month = {Aug},
        year = 2005,
        url = {http://arxiv.org/abs/cs.DL/0508082},
        id = {305755},
	priority = {2},
	eprint = {cs.DL/0508082},
	biburl = {http://www.bibsonomy.org/bibtex/250f762bd270eeda14f71474e3c38795b/stumme},
	keywords = {folksonomy structure tagging FCA OntologyHandbook}
}

@misc{Cattuto2006,
        title = {Collaborative Tagging and Semiotic Dynamics},
        author = {Ciro Cattuto and Vittorio Loreto and Luciano Pietronero},
        month = {May},
        note = {{\tt arXiv:cs.CY/0605015}},
        year = 2006,
        url = {http://arxiv.org/abs/cs/0605015},
        id = {695889},
	priority = {3},
	eprint = {cs/0605015},
	abstract = {Collaborative tagging has been quickly gaining ground because of its
    ability to recruit the activity of web users into effectively organizing
    and sharing vast amounts of information. Here we collect data from
    a popular system and investigate the statistical properties of tag
    co-occurrence. We introduce a stochastic model of user behavior embodying
    two main aspects of collaborative tagging: (i) a frequency-bias mechanism
    related to the idea that users are exposed to each other's tagging
    activity; (ii) a notion of memory - or aging of resources - in the
    form of a heavy-tailed access to the past state of the system. Remarkably,
    our simple modeling is able to account quantitatively for the observed
    experimental features, with a surprisingly high accuracy. This points
    in the direction of a universal behavior of users, who - despite
    the complexity of their own cognitive processes and the uncoordinated
    and selfish nature of their tagging activity - appear to follow simple
    activity patterns.},
	biburl = {http://www.bibsonomy.org/bibtex/28d265ea13915a79ec08fe13b8e7074c7/stumme},
	keywords = {tagging folksonomy taxonomy research FCA OntologyHandbook}
}

@inproceedings{1180904,
        title = {tagging, communities, vocabulary, evolution},
        address = {New York, NY, USA},
        author = {Shilad Sen and Shyong K. Lam and Al Mamunur Rashid and Dan Cosley and Dan Frankowski and Jeremy Osterhouse and F. Maxwell Harper and John Riedl},
        booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
        pages = {181--190},
        publisher = {ACM},
        year = 2006,
        url = {http://portal.acm.org/citation.cfm?id=1180904},
        location = {Banff, Alberta, Canada},
	isbn = {1-59593-249-6},
	doi = {http://doi.acm.org/10.1145/1180875.1180904},
	description = {tagging, communities, vocabulary, evolution},
	abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
	biburl = {http://www.bibsonomy.org/bibtex/2582641c05e7a0b9396945a951822c83f/stumme},
	keywords = {communities folksonomies evolution tagging folksonomy vocabulary community}
}

@article{cattuto2007network,
        title = {Network Properties of Folksonomies},
        author = {Ciro Cattuto and Christoph Schmitz and Andrea Baldassarri and Vito D. P. Servedio and Vittorio Loreto and  and Andreas Hotho and Miranda Grahl and Gerd Stumme},
        editor = {Susanne Hoche and Andreas Nürnberger and Jürgen Flach},
        journal = {AI Communications Journal, Special Issue on "Network Analysis in Natural Sciences and Engineering"},
        number = 4,
        pages = {245-262},
        publisher = {IOS Press},
        volume = 20,
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf},
        issn = {0921-7126},
	vgwort = {67},
	description = {See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.},
	biburl = {http://www.bibsonomy.org/bibtex/2692ba5b6c617bd6174d0bc6f184ab8dc/stumme},
	keywords = {tagorapub fca l3s network 2007 semantics folksonomy folksonomies myown emergent}
}

@inproceedings{grahl2007clustering,
        title = {Conceptual Clustering of Social Bookmarking Sites},
        address = {Graz, Austria},
        author = {Miranda Grahl and Andreas Hotho and Gerd Stumme},
        booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
        month = {SEP},
        pages = {356-364},
        publisher = {Know-Center},
        year = 2007,
        issn = {0948-695x},
	abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the
system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.},
	biburl = {http://www.bibsonomy.org/bibtex/2334d3ab11400c4a3ea3ed5b1e95c1855/stumme},
	keywords = {tagging 2007 folksonomy tagorapub sites myown folksonomies social}
}