http://www.bibsonomy.org/burst/user/grahl/folksonomyBibSonomy BuRST Feed for /user/grahl/folksonomy2008-08-21T05:27:18+02:00[0705.1013] Tracking User Attention in Collaborative Tagging Communitieshttp://www.bibsonomy.org/bibtex/2785df87d0942d1cb6da9b944df902730/grahlgrahl2007-09-10T14:02:04+02:00tagging folksonomy tracking <span style="color:#555555;">Elizeu <a href="http://www.bibsonomy.org/author/Santos-Neto">Santos-Neto</a> and Matei <a href="http://www.bibsonomy.org/author/Ripeanu">Ripeanu</a> and Adriana <a href="http://www.bibsonomy.org/author/Iamnitchi">Iamnitchi</a> </span>(<em>2007</em>)Mon Sep 10 14:02:04 CEST 2007Tracking User Attention in Collaborative Tagging Communities2007tagging folksonomy tracking http://www.bibsonomy.org/bibtex/2a6faae355d867b5f998ed30e79eec3cf/grahlgrahl2006-11-17T08:46:17+01:00folksonomy bookmarking iccs social bibsonomy <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">J&#228;schke</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>Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, </em>(<em>2006</em>) <em>to appear . </em>Fri Nov 17 08:46:17 CET 2006Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structuresto appear{BibSonomy}: A Social Bookmark and Publication Sharing System2006folksonomy bookmarking iccs social bibsonomy http://www.bibsonomy.org/bibtex/25b4052dab83f889821e96cfa2d00f959/grahlgrahl2006-11-17T08:46:17+01:00trend folksonomy detection <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">J&#228;schke</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>Prof. First International Conference on Semantics And Digital Media Technology (SAMT) (to appear), </em><em>Athens, Greece, </em><em>dec2006. </em>Fri Nov 17 08:46:17 CET 2006Athens, GreeceProf. First International Conference on Semantics And Digital Media Technology (SAMT) (to appear)decTrend Detection in Folksonomies2006trend folksonomy detection http://www.bibsonomy.org/bibtex/226ff196335caf137b1862d050bc1c515/grahlgrahl2006-11-17T08:46:17+01:00nepomuk analysis trias triadic iceberg concept tagging algorithm fca formal lattices folksonomy <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;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>Hong Kong, </em><em>December2006. </em><em>(to appear) . </em>Fri Nov 17 08:46:17 CET 2006Hong KongProc. 6th ICDM conferenceDecember(to appear)TRIAS - An Algorithm for Mining Iceberg Tri-Lattices2006nepomuk analysis trias triadic iceberg concept tagging algorithm fca formal lattices folksonomy http://www.bibsonomy.org/bibtex/234760f9cbfea963c2e79e9dbad2e6550/grahlgrahl2006-11-17T08:46:17+01:00folksonomy semantic emergence nepomuk bibsonomy emergent <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">J&#228;schke</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>Proc. Workshop on Applications of Semantic Technologies, Informatik 2006, </em><em>Dresden, </em><em>oct2006. </em>Fri Nov 17 08:46:17 CET 2006DresdenProc. Workshop on Applications of Semantic Technologies, Informatik 2006octEmergent Semantics in BibSonomy2006folksonomy semantic emergence nepomuk bibsonomy emergent Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies, briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references, and discuss first steps towards emergent semantics.http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/grahlgrahl2006-11-17T08:46:17+01:00nepomuk p2p semantic management knowledge web folksonomy wissensmanagement collaborative-filtering <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>page273-290. </em><em>Springer, </em>(<em>2006</em>)Fri Nov 17 08:46:17 CET 2006Semantic Web - Wege zur vernetzten Wissensgesellschaft273-290Kollaboratives Wissensmanagement2006nepomuk p2p semantic management knowledge web folksonomy wissensmanagement collaborative-filtering Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/grahlgrahl2006-11-17T08:46:17+01:00nepomuk analysis semantic folksonomy network <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page261--270. </em><em>Heidelberg, </em><em>Springer, </em><em>July2006. </em>Fri Nov 17 08:46:17 CET 2006HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006nepomuk analysis semantic folksonomy network Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/grahlgrahl2006-11-17T08:46:17+01:00retrieval pagerank folksonomy information ranking folkrank informationretrieval nepomuk <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">J&#228;schke</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>The Semantic Web: Research and Applications, </em><em>volume4011ofLNAI, </em><em>page411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Fri Nov 17 08:46:17 CET 2006HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006retrieval pagerank folksonomy information ranking folkrank informationretrieval nepomuk Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called \emph{FolkRank}, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.Bit of a propaganda piece for the semantic web. Urging researchers to develop and use more ontologies. Nice informal summary but nothing new if you know about RDF, OWL and the ongoing research at W3C.http://www.bibsonomy.org/bibtex/2ae5cd5e31f0d7847f323a59988fdfab8/grahlgrahl2006-10-23T17:25:28+02:00RDF web folksonomy AI semantic kdubiq <span style="color:#555555;">Nigel <a href="http://www.bibsonomy.org/author/Shadbolt">Shadbolt</a> and Tim <a href="http://www.bibsonomy.org/author/Berners-Lee">Berners-Lee</a> and Wendy <a href="http://www.bibsonomy.org/author/Hall">Hall</a> </span><em>IEEE Intelligent Systems</em><em>21(3):96-101</em>(<em>2006</em>)Mon Oct 23 17:25:28 CEST 2006IEEE Intelligent Systems396-101The Semantic Web Revisited212006RDF web folksonomy AI semantic kdubiq The original Scientific American article on the Semantic Web appeared in 2001. It described the evolution of a Web that consisted largely of documents for humans to read to one that included data and information for computers to manipulate. The Semantic Web is a Web of actionable information—information derived from data through a semantic theory for interpreting the symbols. This simple idea, however, remains largely unrealized. Shopbots and auction bots abound on the Web, but these are essentially handcrafted for particular tasks; they have little ability to interact with heterogeneous data and information types. Because we haven't yet delivered large-scale, agent-based mediation, some commentators argue that the Semantic Web has failed to deliver. We argue that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years. Furthermore, we see the use of ontologies in the e-science community presaging ultimate success for the Semantic Web—just as the use of HTTP within the CERN particle physics community led to the revolutionary success of the original Web.