%0 
%0 Book
%A Bringhurst, Robert
%D 2002
%T The Elements of Typographic Style
%E 
%B 
%C 
%I Hartley & Marks Publishers
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%K typography 
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%U http://www.amazon.com/Elements-Typographic-Style-Robert-Bringhurst/dp/0881792063/ref=pd_bbs_sr_1/105-5709244-6131609?ie=UTF8&s=books&qid=1188806325&sr=1-1
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%0 
%0 Journal Article
%A Dorogovtsev, S. N.; Mendes, J. F. F. & Samukhin, A. N.
%D 2001
%T Size-dependent degree distribution of a scale-free growing network
%E 
%B Phys. Rev. E
%C 
%I American Physical Society
%V 63
%6
%N 6
%P 062101
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%F dorogovtsev01
%K graphtheory network scalefree smallworld socialnetwork 
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%0 
%0 Conference Proceedings
%A Jäschke, Robert; Grahl, Miranda; Hotho, Andreas; Krause, Beate; Schmitz, Christoph & Stumme, Gerd
%D 2007
%T Organizing Publications and Bookmarks in BibSonomy
%E Alani, Harith; Noy, Natasha; Stumme, Gerd; Mika, Peter; Sure, York & Vrandecic, Denny
%B Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007
%C Banff, Canada
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%F jaeschke07organizing
%K 2007 bibsonomy folksonomy myown 
%X 
%Z 
%U http://www2007.org/workshops/paper_25.pdf
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%0 
%0 Journal Article
%A Jäschke, Robert; Hotho, Andreas; Schmitz, Christoph; Ganter, Bernhard & Stumme, Gerd
%D 2008
%T Discovering shared conceptualizations in folksonomies
%E 
%B Web Semantics: Science, Services and Agents on the World Wide Web
%C 
%I 
%V 6
%6
%N 1
%P 38--53
%& 
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%S 
%7
%8 February
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%F jaeschke2008discovering
%K 2008 fca folksonomy formalconceptanalysis myown socialbookmarking socialsoftware 
%X Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.
%Z 
%U http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b
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%0 
%0 Generic
%A Karinthy, Frigyes
%D 1929
%T Chain-Links
%E
%B 
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%F karinthy1929chain
%K graphtheory smallworld 
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%0 
%0 Book
%A Klein, Manfred; Schwemer-Scheddin, Yvonne & Spiekermann, Erik
%D 1991
%T Typen und Typographen
%E 
%B 
%C Kilchberg
%I Edition Stemmle
%V 
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%F keyhere
%K typography 
%X 
%Z 
%U http://www.amazon.de/Typen-Typographen-Manfred-Klein/dp/3908162106/ref=sr_1_1/303-0079093-5599478?ie=UTF8&s=books&qid=1188806013&sr=8-1
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%^

%0 
%0 Book
%A Sauthoff, Daniel; Wendt, Gilmar & Willberg, Hans P.
%D 2005
%T Schriften erkennen
%E 
%B 
%C Mainz
%I Schmidt (Hermann)
%V 
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%F sauthoff2005schriften
%K typography 
%X 
%Z 
%U http://www.amazon.de/Schriften-erkennen-Daniel-Sauthoff/dp/3874394182/ref=pd_bowtega_3/303-0079093-5599478?ie=UTF8&s=books&qid=1188806091&sr=1-3
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%^

%0 
%0 Thesis
%A Schmitz, Christoph
%D 2007
%T Self-Organized Collaborative Knowledge Management
%E 
%B 
%C 
%I Universität Kassel
%V 
%6
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%S 
%7
%8 September
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%F schmitz2007self
%K 2007 analysis dissertation folksonomy knowledgemanagement myown network p2p peer2peer peertopeer selforganization sna 
%X 
%Z 
%U http://www.uni-kassel.de/hrz/db4/extern/dbupress/publik/abstract.php?978-3-89958-325-0
%+
%^

%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Grahl, Miranda; Hotho, Andreas; Stumme, Gerd; Catutto, Ciro; Baldassarri, Andrea; Loreto, Vittorio & Servedio, Vito D. P.
%D 2007
%T Network Properties of Folksonomies
%E 
%B Proc. WWW2007 Workshop ``Tagging and Metadata for Social Information Organization''
%C Banff
%I 
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%K 2007 folksonomy myown network sna workshop 
%X 
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%0 
%0 Journal Article
%A Specia, Lucia & Motta, Enrico
%D 2007
%T Integrating Folksonomies with the Semantic Web
%E 
%B 4th European Semantic Web Conference
%C 
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%F motta2007
%K folksonomy integration iswc ontology web2.0 
%X Abstract. While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individual can yield a collective classification schema. We present an approach for making explicit the semantics behind the tag space in social tagging systems, so that this collaborative organization can emerge in the form of groups of concepts and partial ontologies. This is achieved by using a combination of shallow pre-processing strategies and statistical techniques together with knowledge provided by ontologies available on the semantic web. Preliminary results on the del.icio.us and Flickr tag sets show that the approach is very promising: it generates clusters with highly related tags corresponding to concepts in ontologies and meaningful relationships among subsets of these tags can be identified.

%Z 
%U http://www.eswc2007.org/
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