@article{jaeschke2008discovering, title = {Discovering Shared Conceptualizations in Folksonomies}, author = {Robert Jäschke and Andreas Hotho and Christoph Schmitz and Bernhard Ganter and Gerd Stumme}, booktitle = {Semantic Web and Web 2.0}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, month = {feb}, number = 1, pages = {38--53}, volume = 6, year = 2008, url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b}, description = {ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomies}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/263901930c137df0c2dad84075c564b14/jaeschke}, keywords = {formal l3s concept tagging myown 2008 trias wp5 for:nepomuk folksonomy analysis} } @inproceedings{jaeschke07tagKdml, title = {Tag Recommendations in Folksonomies}, author = {Robert Jäschke and Leandro Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme}, booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)}, editor = {Alexander Hinneburg}, month = {sep}, pages = {13-20}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, year = 2007, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf}, isbn = {978-3-86010-907-6}, vgwort = {20}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2bfc43dfe59f9c0935ac3364b12e6d795/jaeschke}, keywords = {myown for:nepomuk tagging kdml 2007 recommender folksonomy lwa l3s} } @inproceedings{jaeschke2007tag, title = {Tag Recommendations in Folksonomies}, address = {Berlin, Heidelberg}, author = {Robert Jäschke and Leandro Balby Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme}, booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases}, editor = {Joost N. Kok and Jacek Koronacki and Ramon López de Mántaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron}, pages = {506-514}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 4702, year = 2007, url = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, isbn = {978-3-540-74975-2}, vgwort = {14}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/2bb8ecec699a2f129322fe334747c6aef/jaeschke}, keywords = {2007 l3s recommender folksonomy wp5 myown for:nepomuk tagging} } @misc{santosneto07, title = {Tracking User Attention in Collaborative Tagging Communities}, author = {Elizeu Santos-Neto and Matei Ripeanu and Adriana Iamnitchi}, year = 2007, url = {http://arxiv.org/pdf/0705.1013}, description = {[0705.1013] Tracking User Attention in Collaborative Tagging Communities}, biburl = {http://www.bibsonomy.org/bibtex/2785df87d0942d1cb6da9b944df902730/jaeschke}, keywords = {collaborative folksonomy bibsonomy tagging} } @unpublished{Regulski07Aufwand, title = {Aufwand und Nutzen beim Einsatz von Social Bookmarking Services als Nachweisinstrument für wissenschaftliche Forschungsartikel am Beispiel von BibSonomy}, author = {Katharina Regulski}, year = 2007, url = {http://www.bibliothek-saur.de/preprint/2007/ar2460_regulski.pdf}, abstract = {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. }, biburl = {http://www.bibsonomy.org/bibtex/22e40f8be9de6920e49f86ec960b7ccc7/jaeschke}, keywords = {study folksonomy bibsonomy social tagging} } @inproceedings{1244292, title = {FCA-based approach for mining contextualized folksonomy}, address = {New York, NY, USA}, author = {Hak Lae Kim and Suk Hyung Hwang and Hong Gee Kim}, booktitle = {SAC '07: Proceedings of the 2007 ACM symposium on Applied computing}, pages = {1340--1345}, publisher = {ACM Press}, year = 2007, url = {http://portal.acm.org/citation.cfm?id=1244002.1244292&coll=GUIDE&dl=}, location = {Seoul, Korea}, isbn = {1-59593-480-4}, doi = {http://doi.acm.org/10.1145/1244002.1244292}, biburl = {http://www.bibsonomy.org/bibtex/24440c3ca148004f3759456eac34e84fa/jaeschke}, keywords = {formal tagging concept mining fca network analysis social folksonomy} } @inproceedings{hassanmontero2006improving, title = {{Improving Tag-Clouds as Visual Information Retrieval Interfaces}}, address = {Merida, Spain}, author = {Y. Hassan-Montero and V. Herrero-Solana}, booktitle = {Proc. InSciT 2006}, month = {Oct}, year = 2006, day = {25--28}, biburl = {http://www.bibsonomy.org/bibtex/299ffb0c3a76afe508f5ff6b219f72515/jaeschke}, keywords = {tagging cloud visual tag interface folksonomy} } @article{lhfh05social, title = {{S}ocial {B}ookmarking {T}ools ({II}): {A} {C}ase {S}tudy - {C}onnotea}, author = {Ben Lund and Tony Hammond and Martin Flack and Timo Hannay}, journal = {D-Lib Magazine}, month = {April}, number = 4, organization = {{N}ature {P}ublishing {G}roup}, volume = 11, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/213958ef5da2d2133b9b84e9a3cb40da1/jaeschke}, keywords = {folksonomy trias_example social iccs_example tagging tool bookmarking} } @article{hhls05social, title = {{S}ocial {B}ookmarking {T}ools ({I}): {A} {G}eneral {R}eview}, author = {Tony Hammond and Timo Hannay and Ben Lund and Joanna Scott}, journal = {D-Lib Magazine}, month = {April}, number = 4, organization = {{N}ature {P}ublishing {G}roup}, volume = 11, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/289c6c43ad692ccfbe4c09d31926ab8a7/jaeschke}, keywords = {iccs_example trias_example social tagging folksonomy tool bookmarking} } @techreport{citeulike:739394, title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems}, author = {Paul Heymann and Hector Garcia-Molina}, institution = {Computer Science Department}, month = {April}, number = {2006-10}, school = {Standford University}, year = 2006, url = {http://dbpubs.stanford.edu:8090/pub/2006-10}, id = {739394}, priority = {3}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/23b4ce6fd7fa6dbf1c39fd261fa39fcd6/jaeschke}, keywords = {collaborative folksonomy taxonomy social tagging} } @inproceedings{xfms06towards, title = {Towards the Semantic Web: Collaborative Tag Suggestions}, author = {Zhichen Xu and Yun Fu and Jianchang Mao and Difu Su}, booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006}, year = 2006, biburl = {http://www.bibsonomy.org/bibtex/249719d13c6da0c5f6917b97ef777184e/jaeschke}, keywords = {tagging folksonomy} } @article{gt06folksonomies, title = {Folksonomies - Tidying up Tags?}, author = {Marieke Guy and Emma Tonkin}, journal = {D-Lib Magazine}, month = {January}, note = {ISSN 1082-9873}, number = 1, volume = 12, year = 2006, url = {http://dlib.org/dlib/january06/guy/01guy.html}, doi = {10.1045/january2006-guy}, biburl = {http://www.bibsonomy.org/bibtex/2a62decf2da83f2d9e10ff7846296699b/jaeschke}, keywords = {tagging web2.0 tag folksonomy} } @inproceedings{dkmnrt06visualizing, title = {Visualizing Tags over Time}, author = {M. Dubinko and R. Kumar and J. Magnani and J. Novak and P. Raghavan and A. Tomkins}, booktitle = {Proceedings of the 15th International WWW Conference}, month = {May}, year = 2006, day = {23-25}, biburl = {http://www.bibsonomy.org/bibtex/2dc72abb1df242c52bf2c4fa19790dcec/jaeschke}, keywords = {seminar2006 tag visualizing time folksonomy tagging} } @inproceedings{mika05ontologies, title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics}, author = {Peter Mika}, booktitle = {Proceedings of the 4th International Semantic Web Conference}, pages = {522-536}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 3729, year = 2005, url = {http://dblp.uni-trier.de/db/conf/semweb/iswc2005.html#Mika05}, ee = {http://dx.doi.org/10.1007/11574620_38}, biburl = {http://www.bibsonomy.org/bibtex/2e73e27d62d17749a8ddba7aab2126cb7/jaeschke}, keywords = {tagging seminar2006 ontology folksonomy social} } @techreport{GH05structure, title = {The Structure of Collaborative Tagging Systems}, author = {Scott Golder and Bernardo A. Huberman}, institution = {Information Dynamics Lab, HP Labs }, month = {Aug}, year = 2005, url = {http://arxiv.org/abs/cs.DL/0508082}, id = {305755}, priority = {2}, eprint = {cs.DL/0508082}, biburl = {http://www.bibsonomy.org/bibtex/250f762bd270eeda14f71474e3c38795b/jaeschke}, keywords = {tagging structure folksonomy} } @misc{reiser2001naming, title = {The Naming System Venture}, author = {Hans Reiser}, note = {\url{http://www.namesys.com/whitepaper.html}}, year = 2001, url = {\url{http://www.namesys.com/whitepaper.html}}, biburl = {http://www.bibsonomy.org/bibtex/28ee65484220549dcfbc286dbf6e1a9be/jaeschke}, keywords = {reiser namespace tagging filesystem} } @misc{mathes04folksonomies, title = {{F}olksonomies -- {C}ooperative {C}lassification and {C}ommunication {T}hrough {S}hared {M}etadata}, author = {Adam Mathes}, month = {December}, note = {\url{http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html}}, school = {Graduate School of Library and Information Science, University of Illinois Urbana-Champaign }, year = 2004, biburl = {http://www.bibsonomy.org/bibtex/245ae9616f7c7e480384d43cb2f6aec4d/jaeschke}, keywords = {folksonomy metadata social classification tagging} } @inproceedings{gjst91semantic, title = {Semantic File Systems.}, address = {Pacific Grove, California, United States}, author = {David K. Gifford and Pierre Jouvelot and Mark A. Sheldon and James O'Toole}, booktitle = {Proceedings of the 13th ACM Symposium on Operating Systems Principles}, number = 5, pages = {16-25}, publisher = {ACM Press}, volume = 25, year = 1991, url = {http://doi.acm.org/10.1145/121132.121138}, issn = {0163-5980}, abstract = {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.}, biburl = {http://www.bibsonomy.org/bibtex/24b020083ca0aca3d285569e5fbd0f5b7/jaeschke}, keywords = {semantic tagging file system search} } @misc{bv05tagfs, title = {{TagFS -- Tag Semantics for Hierarchical File Systems}}, author = {Stephan Bloehdorn and Max Völkel}, institution = {Institute AIFB, University Karlsruhe}, note = {Submitted for publication}, year = 2006, url = {\url{http://www.xam.de/2006/01-tagfs.pdf}}, biburl = {http://www.bibsonomy.org/bibtex/2de158f49bcbdcf243ae34639e62b4a66/jaeschke}, keywords = {system file semantic tagging tagfs} }