@article{golder2005,
        title = {The Structure of Collaborative Tagging Systems},
        author = {Scott Golder and Bernardo A. Huberman},
        year = 2005,
        url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0508082},
        abstract = {Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.},
	biburl = {http://www.bibsonomy.org/bibtex/28262594e232f91ddf37bc0c6a5aebcae/cschenk},
	keywords = {structure read:2008 collaborative tagging paper kind-of-tags data folksonomy hierarchy del.icio.us}
}

@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/cschenk},
	keywords = {semantik read:2008 overview paper kind-of-tags nepomuk bibsonomy recommendation folkrank}
}

@inproceedings{ecs14007,
        title = {Folksonomies, the Semantic Web, and Movie Recommendation },
        author = {Martin Szomszor and Ciro Cattuto and Harith Alani and Kieron O'Hara and Andrea Baldassarri and Vittorio Loreto and Vito D.P. Servedio},
        booktitle = {4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0},
        year = 2007,
        url = {http://eprints.ecs.soton.ac.uk/14007/},
        description = {Has an overview of the usage of tags.},
	abstract = {While the Semantic Web has evolved to support the meaningful exchange of heterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily accessible and valuable knowledge. In this paper, we investigate the integration of a movies folksonomy with a semantic knowledge base about user-movie rentals. The folksonomy is used to enrich the knowledge base with descriptions and categorisations of movie titles, and user interests and opinions. Using tags harvested from the Internet Movie Database, and movie rating data gathered by Netflix, we perform experiments to investigate the question that folksonomy-generated movie tag-clouds can be used to construct better user profiles that reflect a user’s level of interest in different kinds of movies, and therefore, provide a basis for prediction of their rating for a previously unseen movie.},
	biburl = {http://www.bibsonomy.org/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk},
	keywords = {tags read:2008 collaborative filtering paper movies recommendation semantic web netflix imdb kind-of-tags web2.0 folksonomies tagora}
}