BibSonomy publications for /user/jaeschke/taggingTue Apr 15 11:57:08 CEST 2008Semantic Web and Web 2.0Web Semantics: Science, Services and Agents on the World Wide Webfeb138--53Discovering Shared Conceptualizations in Folksonomies620082008 formal concept tagging trias for:nepomuk myown folksonomy l3s analysis wp5 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.Thu Jan 17 13:52:39 CET 2008Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)sep13-20Tag Recommendations in Folksonomies20072007 tagging lwa kdml recommender for:nepomuk myown folksonomy l3s 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 present two tag recommendation algorithms: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank, an adaptation of the well-known PageRank algorithm that can cope with undirected triadic hyperedges. We evaluate and compare both algorithms on large-scale real life datasets and show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.Thu Jan 17 13:51:14 CET 2008Berlin, 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 Folksonomies470220072007 tagging recommender for:nepomuk myown folksonomy l3s wp5 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.Thu Sep 06 17:17:46 CEST 2007Tracking User Attention in Collaborative Tagging Communities2007collaborative tagging bibsonomy folksonomy Wed Aug 08 16:23:05 CEST 2007Aufwand und Nutzen beim Einsatz von Social Bookmarking Services als Nachweisinstrument für wissenschaftliche Forschungsartikel am Beispiel von BibSonomy2007tagging social bibsonomy study folksonomy Authors of scientific article have numerous options to search for background material for their research projects. With our article, we want to show that the use of Social-Bookmarking-Services as part of the web 2.0 (O’Reilly, 2005)/library 2.0 (Danowski, 2006) technology is a useful supplement to conventional reference databases. Thu Jul 05 14:56:08 CEST 2007New York, NY, USASAC '07: Proceedings of the 2007 ACM symposium on Applied computing1340--1345FCA-based approach for mining contextualized folksonomy2007mining formal concept tagging social folksonomy analysis network fca Fri May 18 11:34:48 CEST 2007Merida, SpainProc. InSciT 2006Oct{Improving Tag-Clouds as Visual Information Retrieval Interfaces}2006visual tagging tag cloud folksonomy interface 25--28Thu Feb 01 14:04:37 CET 2007D-Lib MagazineApril4{S}ocial {B}ookmarking {T}ools ({II}): {A} {C}ase {S}tudy - {C}onnotea112005bookmarking tagging social tool folksonomy iccs_example trias_example Thu Feb 01 14:04:37 CET 2007D-Lib MagazineApril4{S}ocial {B}ookmarking {T}ools ({I}): {A} {G}eneral {R}eview112005bookmarking tagging social tool folksonomy iccs_example trias_example Tue Oct 24 10:04:16 CEST 2006April2006-10Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems2006collaborative tagging social folksonomy taxonomy Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.Tue May 09 18:49:10 CEST 2006Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006Towards the Semantic Web: Collaborative Tag Suggestions2006tagging folksonomy Fri Apr 21 11:58:02 CEST 2006D-Lib MagazineJanuaryISSN 1082-98731Folksonomies - Tidying up Tags?122006tagging tag web2.0 folksonomy Thu Apr 20 11:34:33 CEST 2006Proceedings of the 15th International WWW ConferenceMayVisualizing Tags over Time2006time seminar2006 tagging tag visualizing folksonomy 23-25Wed Apr 19 21:20:03 CEST 2006Proceedings of the 4th International Semantic Web Conference522-536Lecture Notes in Computer ScienceOntologies Are Us: A Unified Model of Social Networks and Semantics37292005seminar2006 tagging social folksonomy ontology Wed Apr 19 16:12:43 CEST 2006AugThe Structure of Collaborative Tagging Systems2005structure tagging folksonomy Wed Apr 19 16:08:20 CEST 2006\url{http://www.namesys.com/whitepaper.html}The Naming System Venture2001reiser tagging filesystem namespace Wed Apr 19 16:03:27 CEST 2006December\url{http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html}{F}olksonomies -- {C}ooperative {C}lassification and {C}ommunication {T}hrough {S}hared {M}etadata2004tagging social classification folksonomy metadata Thu Apr 13 11:41:37 CEST 2006Pacific Grove, California, United StatesProceedings of the 13th ACM Symposium on Operating Systems Principles516-25Semantic File Systems.251991system tagging search file semantic A semantic file system is an information storage system that provides flexible associative access to the system's contents by automatically extracting attributes from files with file type specific transducers. Associative access is provided by a conservative extension to existing tree-structured file system protocols, and by protocols that are designed specifically for content based access. Compatiblity with existing file system protocols is provided by introducing the concept of a virtual directory. Virtual directory names are interpreted as queries, and thus provide flexible associative access to files and directories in a manner compatible with existing software. Rapid attribute-based access to file system contents is implemented by automatic extraction and indexing of key properties of file system objects. The automatic indexing of files and directories is called "semantic" because user programmable transducers use information about the semantics of updated file system objects to extract the properties for indexing. Experimental results from a semantic file system implementation support the thesis that semantic file systems present a more effective storage abstraction than do traditional tree structured file systems for information sharing and command level programming.Tue Apr 11 17:18:43 CEST 2006Submitted for publication{TagFS -- Tag Semantics for Hierarchical File Systems}2006system tagging file semantic tagfs