BibSonomy publications for /user/stumme/folksonomyhttp://www.bibsonomy.org/burst/user/stumme/folksonomyBibSonomy BuRST Feed for /user/stumme/folksonomy2008-08-30T02:42:41+02:00Social Bookmarkinghttp://www.bibsonomy.org/bibtex/2b54f6557893e3ab9d1eb83b0baeb136e/stummestumme2008-07-04T15:05:56+02:00folksonomy bookmarking social <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> </span><em>Seite26-38. </em><em>Oldenbourg Verlag, </em><em>München, </em>(<em>2008</em>)Fri Jul 04 15:05:56 CEST 2008MünchenWeb 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software26-38Social Bookmarking2008folksonomy bookmarking social Das Entstehen von Semantik in BibSonomyhttp://www.bibsonomy.org/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/stummestumme2008-06-10T22:32:17+02:00BibSonomy nepomuk 2006 folksonomies pagerank association hotho tags tagorapub folkrank UniK folksonomy rules stumme bibsonomy schmitz jaeschke semantik semantics tagging tagora <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Social Software in der Wertschöpfung, </em><em>Baden-Baden, </em><em>Nomos, </em>(<em>2006</em>)Tue Jun 10 22:32:17 CEST 2008Baden-BadenSocial Software in der WertschöpfungDas Entstehen von Semantik in BibSonomy2006BibSonomy nepomuk 2006 folksonomies pagerank association hotho tags tagorapub folkrank UniK folksonomy rules stumme bibsonomy schmitz jaeschke semantik semantics tagging tagora 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.The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systemshttp://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/stummestumme2008-06-09T21:10:50+02:002.0 tagger folksonomies 2008 web2.0 folksonomy myown social systems tagorapub spam bookmarking web <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web, </em>(<em>2008</em>)Mon Jun 09 21:10:50 CEST 2008Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the WebThe Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems20082.0 tagger folksonomies 2008 web2.0 folksonomy myown social systems tagorapub spam bookmarking web Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/23b0aca61b24e4343bd80390614e3066e/stummestumme2008-06-09T14:05:11+02:00web myown systems folksonomy collaborative 2.0 tagging web2.0 2008 semantic folksonomies <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> und Dominik <a href="http://www.bibsonomy.org/author/Benz">Benz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3), </em><em>Patras, Greece, </em><em>July2008. </em>Mon Jun 09 14:05:11 CEST 2008Patras, GreeceProceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)JulySemantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems2008web myown systems folksonomy collaborative 2.0 tagging web2.0 2008 semantic folksonomies 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.Conceptual Clustering of Social Bookmark Siteshttp://www.bibsonomy.org/bibtex/26d5188d66564fe4ed7386e28868504de/stummestumme2008-06-09T12:32:10+02:00folksonomies collaborative myown tagorapub conceptual clustering bookmark 2007 bookmarking Social tagging social folksonomy <span style="color:#555555;">Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), </em><em>Seite50-54. </em><em>Martin-Luther-Universität Halle-Wittenberg, </em><em>sep2007. </em>Mon Jun 09 12:32:10 CEST 2008Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)sep50-54Conceptual Clustering of Social Bookmark Sites2007folksonomies collaborative myown tagorapub conceptual clustering bookmark 2007 bookmarking Social tagging social folksonomy Paradigmatic and Syntagmatic Relations in Knowledge Organization Systemshttp://www.bibsonomy.org/bibtex/27fab7108fc3cf9c3f7bc4e81846969f9/stummestumme2008-05-27T12:41:01+02:00syntagmatic paradigmatic folksonomy syntagms paradigms folksonomies <span style="color:#555555;">Isabella <a href="http://www.bibsonomy.org/author/Peters">Peters</a> und Katrin <a href="http://www.bibsonomy.org/author/Weller">Weller</a> </span><em>Information Wissenschaft und Praxis</em><em>59(2):100-107</em>(<em>2008</em>)Tue May 27 12:41:01 CEST 2008Information Wissenschaft und Praxis2100-107Paradigmatic and Syntagmatic Relations in Knowledge Organization Systems592008syntagmatic paradigmatic folksonomy syntagms paradigms folksonomies Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/stummestumme2008-04-15T15:02:22+02:00search tagorapub 2008 logsonomies folksonomies myown logsonomy folksonomy engine <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> und Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Tue Apr 15 15:02:22 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008search tagorapub 2008 logsonomies folksonomies myown logsonomy folksonomy engine 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.A Comparison of Social Bookmarking with Traditional Searchhttp://www.bibsonomy.org/bibtex/2a412eda2e397f691b5581e0622c50eeb/stummestumme2008-04-15T15:00:17+02:00folksonomies tagorapub social comparison bookmarking 2008 folksonomy search myown <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008, </em><em>Seite101-113. </em>(<em>2008</em>)Tue Apr 15 15:00:17 CEST 2008Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008101-113A Comparison of Social Bookmarking with Traditional Search2008folksonomies tagorapub social comparison bookmarking 2008 folksonomy search myown 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.Mining Association Rules in Folksonomieshttp://www.bibsonomy.org/bibtex/240a36107fb337776c60ab6c85991497e/stummestumme2008-03-28T12:11:30+01:002006 myown FCA OntologyHandbook folksonomy rule association <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/J�schke">J�schke</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>Seite261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 myown FCA OntologyHandbook folksonomy rule association Mining Association Rules in Folksonomieshttp://www.bibsonomy.org/bibtex/22b03548ecac6af9bb56dae6bdf3d9b67/stummestumme2008-03-28T12:11:30+01:00association OntologyHandbook rule FCA folksonomy <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/J{\"a}schke">Jäschke</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the IFCS 2006 Conference, </em><em>Springer, </em><em>July2006. </em>Fri Mar 28 12:11:30 CET 2008Proceedings of the IFCS 2006 ConferenceJulyLecture Notes in Computer ScienceMining Association Rules in Folksonomies2006association OntologyHandbook rule FCA folksonomy Collaborative tagging as a tripartite networkhttp://www.bibsonomy.org/bibtex/265c6f348a54f872fb3e60b4bd64b485b/stummestumme2008-03-28T12:11:30+01:00OntologyHandbook taxonomy folksonomy discovery collaboration FCA tagging <span style="color:#555555;">R. <a href="http://www.bibsonomy.org/author/Lambiotte">Lambiotte</a> und M. <a href="http://www.bibsonomy.org/author/Ausloos">Ausloos</a> </span><em>Dec2005. </em><em>tt arXiv:cs.DS/0512090
.
</em>Fri Mar 28 12:11:30 CET 2008Dec{\tt arXiv:cs.DS/0512090}Collaborative tagging as a tripartite network2005OntologyHandbook taxonomy folksonomy discovery collaboration FCA tagging 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.TRIAS - An Algorithm for Mining Iceberg Tri-Latticeshttp://www.bibsonomy.org/bibtex/238ab0f59191ec7ed1f0e9325685c2860/stummestumme2008-03-28T12:11:30+01:00triadic 2006 lattices nepomuk fca iceberg FCA algorithm folksonomy trias folksonomies tagging formal myown OntologyHandbook analysis tri concept <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/J�schke">J�schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06), </em><em>Seite907-911. </em><em>Hong Kong, </em><em>IEEE Computer Society, </em><em>December2006. </em>Fri Mar 28 12:11:30 CET 2008Hong KongProceedings of the 6th IEEE International Conference on Data Mining
(ICDM 06)December907-911TRIAS - An Algorithm for Mining Iceberg Tri-Lattices2006triadic 2006 lattices nepomuk fca iceberg FCA algorithm folksonomy trias folksonomies tagging formal myown OntologyHandbook analysis tri concept Information Retrieval in Folksonomies: Search and Rankinghttp://www.bibsonomy.org/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/stummestumme2008-03-28T12:11:30+01:00informationretrieval myown 2006 mimose folkrank folksonomy ranking information retrieval IR OntologyHandbook FCA pagerank <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/J�schke">J�schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>Volume4011vonLNAI, </em><em>Seite411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Fri Mar 28 12:11:30 CET 2008HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006informationretrieval myown 2006 mimose folkrank folksonomy ranking information retrieval IR OntologyHandbook FCA pagerank Information Retrieval in Folksonomies: Search and Rankinghttp://www.bibsonomy.org/bibtex/2087d10ce5603cef6c6a8b443700368a2/stummestumme2008-03-28T12:11:30+01:00folksonomy FCA search pagerank folkrank graph information ranking retrieval OntologyHandbook seminar2006 mining rank <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/J{\"a}schke">Jäschke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 3rd European Semantic Web Conference, </em><em>Springer, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Proceedings of the 3rd European Semantic Web ConferenceLecture Notes in Computer ScienceInformation Retrieval in Folksonomies: Search and Ranking2006folksonomy FCA search pagerank folkrank graph information ranking retrieval OntologyHandbook seminar2006 mining rank BibSonomy: A Social Bookmark and Publication Sharing Systemhttp://www.bibsonomy.org/bibtex/24ca695ae4501bd56c03e435306d7c5a0/stummestumme2008-03-28T12:11:30+01:00folksonomy bibsonomy bookmarking OntologyHandbook social FCA iccs <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/J{\"a}schke">Jäschke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. of the ICCS 2006 Conceptual Structures Tool Interoperability Workshop, </em>(<em>2006</em>) <em>(to appear)
.
</em>Fri Mar 28 12:11:30 CET 2008Proc. of the ICCS 2006 Conceptual Structures Tool Interoperability
Workshop(to appear){BibSonomy}: A Social Bookmark and Publication Sharing System2006folksonomy bibsonomy bookmarking OntologyHandbook social FCA iccs The Structure of Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/250f762bd270eeda14f71474e3c38795b/stummestumme2008-03-28T12:11:30+01:00tagging structure folksonomy OntologyHandbook FCA <span style="color:#555555;">Scott <a href="http://www.bibsonomy.org/author/Golder">Golder</a> und Bernardo A. <a href="http://www.bibsonomy.org/author/Huberman">Huberman</a> </span><em>Information Dynamics Lab, HP Labs, </em><em>Aug2005. </em>Fri Mar 28 12:11:30 CET 2008AugThe Structure of Collaborative Tagging Systems2005tagging structure folksonomy OntologyHandbook FCA Collaborative Tagging and Semiotic Dynamicshttp://www.bibsonomy.org/bibtex/28d265ea13915a79ec08fe13b8e7074c7/stummestumme2008-03-28T12:11:30+01:00folksonomy research taxonomy FCA OntologyHandbook tagging <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> und Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> und Luciano <a href="http://www.bibsonomy.org/author/Pietronero">Pietronero</a> </span><em>May2006. </em><em>tt arXiv:cs.CY/0605015
.
</em>Fri Mar 28 12:11:30 CET 2008May{\tt arXiv:cs.CY/0605015}Collaborative Tagging and Semiotic Dynamics2006folksonomy research taxonomy FCA OntologyHandbook tagging 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.tagging, communities, vocabulary, evolutiontagging, communities, vocabulary, evolutionhttp://www.bibsonomy.org/bibtex/2582641c05e7a0b9396945a951822c83f/stummestumme2008-03-10T20:03:40+01:00vocabulary evolution folksonomy folksonomies communities community tagging <span style="color:#555555;">Shilad <a href="http://www.bibsonomy.org/author/Sen">Sen</a> und Shyong K. <a href="http://www.bibsonomy.org/author/Lam">Lam</a> und Al Mamunur <a href="http://www.bibsonomy.org/author/Rashid">Rashid</a> und Dan <a href="http://www.bibsonomy.org/author/Cosley">Cosley</a> und Dan <a href="http://www.bibsonomy.org/author/Frankowski">Frankowski</a> und Jeremy <a href="http://www.bibsonomy.org/author/Osterhouse">Osterhouse</a> und F. <a href="http://www.bibsonomy.org/author/Maxwell Harper">Maxwell Harper</a> und John <a href="http://www.bibsonomy.org/author/Riedl">Riedl</a> </span><em>CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, </em><em>Seite181--190. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Mon Mar 10 20:03:40 CET 2008New York, NY, USACSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work181--190tagging, communities, vocabulary, evolution2006vocabulary evolution folksonomy folksonomies communities community tagging 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.Network Properties of FolksonomiesSee http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2692ba5b6c617bd6174d0bc6f184ab8dc/stummestumme2008-01-18T16:03:19+01:00fca folksonomy network l3s 2007 tagorapub semantics emergent myown folksonomies <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andrea <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> und Vito D. P. <a href="http://www.bibsonomy.org/author/Servedio">Servedio</a> und Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> und <a href="http://www.bibsonomy.org/author/"></a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>AI Communications Journal, Special Issue on "Network Analysis in Natural Sciences and Engineering"</em><em>20(4):245-262</em>(<em>2007</em>)Fri Jan 18 16:03:19 CET 2008AI Communications Journal, Special Issue on "Network Analysis in Natural Sciences and Engineering"4245-262Network Properties of Folksonomies202007fca folksonomy network l3s 2007 tagorapub semantics emergent myown folksonomies Conceptual Clustering of Social Bookmarking Siteshttp://www.bibsonomy.org/bibtex/2334d3ab11400c4a3ea3ed5b1e95c1855/stummestumme2008-01-18T13:47:10+01:00tagging 2007 folksonomies myown sites tagorapub folksonomy social <span style="color:#555555;">Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>7th International Conference on Knowledge Management (I-KNOW '07), </em><em>Seite356-364. </em><em>Graz, Austria, </em><em>Know-Center, </em><em>SEP2007. </em>Fri Jan 18 13:47:10 CET 2008Graz, Austria7th International Conference on Knowledge Management (I-KNOW '07)SEP356-364Conceptual Clustering of Social Bookmarking Sites2007tagging 2007 folksonomies myown sites tagorapub folksonomy social 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.