BibSonomy publications for /user/stumme/folksonomieshttp://www.bibsonomy.org/burst/user/stumme/folksonomiesBibSonomy BuRST Feed for /user/stumme/folksonomies2008-07-26T21:51:41+02:00Das Entstehen von Semantik in BibSonomyhttp://www.bibsonomy.org/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/stummestumme2008-06-10T22:32:17+02:00stumme semantik schmitz tagorapub UniK nepomuk folksonomy semantics 2006 tags BibSonomy bibsonomy folksonomies jaeschke tagora pagerank association hotho rules folkrank tagging <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and 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 BibSonomy2006stumme semantik schmitz tagorapub UniK nepomuk folksonomy semantics 2006 tags BibSonomy bibsonomy folksonomies jaeschke tagora pagerank association hotho rules folkrank tagging 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+02:00social tagorapub web folksonomies 2008 web2.0 myown systems tagger bookmarking folksonomy 2.0 spam <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and 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 Systems2008social tagorapub web folksonomies 2008 web2.0 myown systems tagger bookmarking folksonomy 2.0 spam Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/23b0aca61b24e4343bd80390614e3066e/stummestumme2008-06-09T14:05:11+02:00web2.0 systems web 2008 folksonomy 2.0 tagging myown folksonomies collaborative semantic <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and Dominik <a href="http://www.bibsonomy.org/author/Benz">Benz</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and 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 Systems2008web2.0 systems web 2008 folksonomy 2.0 tagging myown folksonomies collaborative semantic 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+02:00bookmarking myown social folksonomy folksonomies tagorapub 2007 tagging conceptual collaborative bookmark clustering Social <span style="color:#555555;">Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), </em><em>page50-54. </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 Sites2007bookmarking myown social folksonomy folksonomies tagorapub 2007 tagging conceptual collaborative bookmark clustering Social Paradigmatic and Syntagmatic Relations in Knowledge Organization Systemshttp://www.bibsonomy.org/bibtex/27fab7108fc3cf9c3f7bc4e81846969f9/stummestumme2008-05-27T12:41:01+02:00paradigms folksonomy syntagmatic paradigmatic syntagms folksonomies <span style="color:#555555;">Isabella <a href="http://www.bibsonomy.org/author/Peters">Peters</a> and 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 Systems592008paradigms folksonomy syntagmatic paradigmatic syntagms folksonomies Logsonomy — A Search Engine Folksonomyhttp://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/stummestumme2008-04-15T15:02:22+02:002008 logsonomies engine logsonomy folksonomy tagorapub myown search folksonomies <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and 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 Folksonomy20082008 logsonomies engine logsonomy folksonomy tagorapub myown search folksonomies 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+02:00search folksonomies tagorapub 2008 myown bookmarking folksonomy comparison social <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and 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>page101-113. </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 Search2008search folksonomies tagorapub 2008 myown bookmarking folksonomy comparison social 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.Discovering Shared Conceptualizations in Folksonomieshttp://www.bibsonomy.org/bibtex/2eb0bdaeab0aa5d4c528c97e2b10770b9/stummestumme2008-03-28T17:54:33+01:00concept 2007 myown fca bibsonomy shared l3s discovering analysis folksonomies triadic formal <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Journal of Web Semantics</em><em>6(1):38-53</em>(<em>2008</em>)Fri Mar 28 17:54:33 CET 2008Journal of Web Semantics138-53Discovering Shared Conceptualizations in Folksonomies62008concept 2007 myown fca bibsonomy shared l3s discovering analysis folksonomies triadic formal Ontologies Are Us: A Unified Model of Social Networks and Semanticskddhttp://www.bibsonomy.org/bibtex/23f516f1db21a92cffef31b7c7ab4aeb1/stummestumme2008-03-28T12:11:30+01:00folksonomies FCA OntologyHandbook <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Mika">Mika</a> </span><em>ISWC 2005, </em><em>volume3729ofLNCS, </em><em>page522-536. </em><em>Springer-Verlag, </em><em>November2005. </em>Fri Mar 28 12:11:30 CET 2008ISWC 2005November522-536LNCS{O}ntologies {A}re {U}s: {A} {U}nified {M}odel of {S}ocial {N}etworks
and {S}emantics37292005folksonomies FCA OntologyHandbook TRIAS - An Algorithm for Mining Iceberg Tri-Latticeshttp://www.bibsonomy.org/bibtex/238ab0f59191ec7ed1f0e9325685c2860/stummestumme2008-03-28T12:11:30+01:00algorithm myown folksonomy FCA tri tagging trias nepomuk lattices OntologyHandbook formal folksonomies iceberg 2006 concept fca triadic analysis <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/J�schke">J�schke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> and 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>page907-911. </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-Lattices2006algorithm myown folksonomy FCA tri tagging trias nepomuk lattices OntologyHandbook formal folksonomies iceberg 2006 concept fca triadic analysis tagging, communities, vocabulary, evolutiontagging, communities, vocabulary, evolutionhttp://www.bibsonomy.org/bibtex/2582641c05e7a0b9396945a951822c83f/stummestumme2008-03-10T20:03:40+01:00evolution tagging vocabulary communities folksonomies folksonomy community <span style="color:#555555;">Shilad <a href="http://www.bibsonomy.org/author/Sen">Sen</a> and Shyong K. <a href="http://www.bibsonomy.org/author/Lam">Lam</a> and Al Mamunur <a href="http://www.bibsonomy.org/author/Rashid">Rashid</a> and Dan <a href="http://www.bibsonomy.org/author/Cosley">Cosley</a> and Dan <a href="http://www.bibsonomy.org/author/Frankowski">Frankowski</a> and Jeremy <a href="http://www.bibsonomy.org/author/Osterhouse">Osterhouse</a> and F. <a href="http://www.bibsonomy.org/author/Maxwell Harper">Maxwell Harper</a> and 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>page181--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, evolution2006evolution tagging vocabulary communities folksonomies folksonomy community 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+01:00myown folksonomies fca tagorapub l3s 2007 network semantics emergent folksonomy <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Andrea <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> and Vito D. P. <a href="http://www.bibsonomy.org/author/Servedio">Servedio</a> and Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> and <a href="http://www.bibsonomy.org/author/"></a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> and 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 Folksonomies202007myown folksonomies fca tagorapub l3s 2007 network semantics emergent folksonomy Conceptual Clustering of Social Bookmarking Siteshttp://www.bibsonomy.org/bibtex/2334d3ab11400c4a3ea3ed5b1e95c1855/stummestumme2008-01-18T13:47:10+01:00sites tagorapub tagging myown social folksonomies 2007 folksonomy <span style="color:#555555;">Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>7th International Conference on Knowledge Management (I-KNOW '07), </em><em>page356-364. </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 Sites2007sites tagorapub tagging myown social folksonomies 2007 folksonomy 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.Visualizing tags over timeVisualizing tags over timehttp://www.bibsonomy.org/bibtex/2cca8a679a78e2bced9a5cc268cfd3aaa/stummestumme2007-10-22T15:10:54+02:00visualisation visualizing folksonomies tagging <span style="color:#555555;">Micah <a href="http://www.bibsonomy.org/author/Dubinko">Dubinko</a> and Ravi <a href="http://www.bibsonomy.org/author/Kumar">Kumar</a> and Joseph <a href="http://www.bibsonomy.org/author/Magnani">Magnani</a> and Jasmine <a href="http://www.bibsonomy.org/author/Novak">Novak</a> and Prabhakar <a href="http://www.bibsonomy.org/author/Raghavan">Raghavan</a> and Andrew <a href="http://www.bibsonomy.org/author/Tomkins">Tomkins</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>page193--202. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2006</em>)Mon Oct 22 15:10:54 CEST 2007New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web193--202Visualizing tags over time2006visualisation visualizing folksonomies tagging We consider the problem of visualizing the evolution of tags within the Flickr (flickr.com) online image sharing community. Any user of the Flickr service may append a tag to any photo in the system. Over the past year, users have on average added over a million tags each week. Understanding the evolution of these tags over time is therefore a challenging task. We present a new approach based on a characterization of the most interesting tags associated with a sliding interval of time. An animation provided via Flash in a web browser allows the user to observe and interact with the interesting tags as they evolve over time.New algorithms and data structures are required to support the efficient generation of this visualization. We combine a novel solution to an interval covering problem with extensions to previous work on score aggregation in order to create an efficient backend system capable of producing visualizations at arbitrary scales on this large dataset in real time.Tag Recommendations in Folksonomieshttp://www.bibsonomy.org/bibtex/2bb8ecec699a2f129322fe334747c6aef/stummestumme2007-10-16T16:49:55+02:00l3s Recommendations tagging recommendations nepomuk myown folksonomies Folksonomies FolkRank ranking 2007 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Leandro Balby <a href="http://www.bibsonomy.org/author/Marinho">Marinho</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Lars <a href="http://www.bibsonomy.org/author/Schmidt-Thieme">Schmidt-Thieme</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, </em><em>volume4702ofLecture Notes in Computer Science, </em><em>page506-514. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2007</em>)Tue Oct 16 16:49:55 CEST 2007Berlin, HeidelbergKnowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases506-514Lecture Notes in Computer ScienceTag Recommendations in Folksonomies47022007l3s Recommendations tagging recommendations nepomuk myown folksonomies Folksonomies FolkRank ranking 2007 Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
In this paper we evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.The Structure of Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/2f852d7a909fa3edceb04abb7d2a20f71/stummestumme2007-10-02T12:20:04+02:00clustering social-networks tags tagging seminar2006 folksonomies socialtagging tag collaborative_tagging self-organization folksonomy information_organization delicious emergence <span style="color:#555555;">Scott <a href="http://www.bibsonomy.org/author/Golder">Golder</a> and Bernardo A. <a href="http://www.bibsonomy.org/author/Huberman">Huberman</a> </span><em>Aug2005. </em>Tue Oct 02 12:20:04 CEST 2007AugThe Structure of Collaborative Tagging Systems2005clustering social-networks tags tagging seminar2006 folksonomies socialtagging tag collaborative_tagging self-organization folksonomy information_organization delicious emergence TRIAS - An Algorithm for Mining Iceberg Tri-Latticeshttp://www.bibsonomy.org/bibtex/2e387c294129e11f4221514d5fa807e26/stummestumme2007-06-15T14:22:07+02:00tagging iceberg lattices concept tri myown algorithm 2006 analysis fca folksonomies folksonomy trias formal l3s nepomuk triadic <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">Jäschke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> and 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>page907-911. </em><em>Hong Kong, </em><em>IEEE Computer Society, </em><em>December2006. </em>Fri Jun 15 14:22:07 CEST 2007Hong KongProceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)December907-911TRIAS - An Algorithm for Mining Iceberg Tri-Lattices2006tagging iceberg lattices concept tri myown algorithm 2006 analysis fca folksonomies folksonomy trias formal l3s nepomuk triadic xFolk: An xhtml microformat for folksonomyhttp://www.bibsonomy.org/bibtex/2538506c12052e211d668175798e93e21/stummestumme2007-05-21T21:58:11+02:00folksonomies folksonomy xhtml <span style="color:#555555;"> <a href="http://www.bibsonomy.org/author/Bud">Bud</a> </span><em>The Community Engine, </em><em>volumeof, </em><em>chapter , </em><em>, </em><em>http://thecommunityengine.com/home/ archives/2005/03/xfolk_an_xhtml.html, </em><em> edition, </em><em>
.
</em><em>March2005. </em>Mon May 21 21:58:11 CEST 2007http://thecommunityengine.com/home/ archives/2005/03/xfolk_an_xhtml.htmlThe Community EngineMarchxFolk: An xhtml microformat for folksonomy2005folksonomies folksonomy xhtml IBM's Intranet and Folksonomyhttp://www.bibsonomy.org/bibtex/286dfa7631679ab62cd424d26e4834aff/stummestumme2007-05-21T21:57:30+02:00folksonomy intranet ibm folksonomies <span style="color:#555555;"> <a href="http://www.bibsonomy.org/author/Bud">Bud</a> </span><em>The Community Engine, </em><em>volumeof, </em><em>chapter , </em><em>, </em><em>http://thecommunityengine.com/home/archives/2005/03/ibms_intranet_a.html, </em><em> edition, </em><em>
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</em><em>March2005. </em>Mon May 21 21:57:30 CEST 2007http://thecommunityengine.com/home/archives/2005/03/ibms_intranet_a.htmlThe Community EngineMarchIBM's Intranet and Folksonomy2005folksonomy intranet ibm folksonomies