BibSonomyburst/user/wnpxrz/taggingBibSonomy RSS feed for /user/wnpxrz/tagging2012-02-16T14:09:49+01:00http://www.bibsonomy.org/bibtex/29de59a9efdc8b41446bfdcac2901b999/wnpxrzwnpxrz2010-05-05T20:26:05+02:00knowledge ontology semantic semanticweb tagging <span class="authorEditorList"><a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 2nd Web Science Conference WebSci09, </em><em>Raleigh, NC, USA, </em>(<em>2010</em>)<em>to appear . </em>Wed May 05 20:26:05 CEST 2010Raleigh, NC, USAProceedings of the 2nd Web Science Conference (WebSci09)(to appear)Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge2010knowledge ontology semantic semanticweb tagging http://www.bibsonomy.org/bibtex/278fd64c3db55e6387ebdeb6c40054542/wnpxrzwnpxrz2008-05-19T17:48:01+02:00measure semantic similarity tag tagging <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span>(<em>2008</em>)Mon May 19 17:48:01 CEST 2008Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems2008measure semantic similarity tag tagging 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.[0805.2045] Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/2281943ad0a7c81ad975f0a4c7de43447/wnpxrzwnpxrz2008-04-03T16:31:54+02:00collaborative tagging <span class="authorEditorList"><a href="/author/Golder">S.A. Golder</a>, and <a href="/author/Huberman">B.A. Huberman</a> </span><em>Journal of Information Science</em> <em>32(2):198</em> (<em>2006</em>)Thu Apr 03 16:31:54 CEST 2008Journal of Information Science2198{Usage patterns of collaborative tagging systems}322006collaborative tagging introduces different categories of tags (eg task-organising, categories, etc)http://www.bibsonomy.org/bibtex/2ad31989b2393f5d0c4e8be8dbb613141/wnpxrzwnpxrz2008-01-24T17:57:10+01:00ontology tagging <span class="authorEditorList"><a href="/author/Benz">Dominik Benz</a>, and <a href="/author/Hotho">Andreas Hotho</a> </span><em>LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings LWA, </em><em>page 109-112. </em><em>Martin-Luther-University Halle-Wittenberg, </em>(<em>2007</em>)Thu Jan 24 17:57:10 CET 2008LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)conf/lwa/2007109-112Position Paper: Ontology Learning from Folksonomies.2007ontology tagging dblphttp://www.bibsonomy.org/bibtex/27f7ac73677841b4580461d408e83495a/wnpxrzwnpxrz2008-01-24T17:56:59+01:00ontology tagging wordnet <span class="authorEditorList"><a href="/author/Laniado">David Laniado</a>, <a href="/author/Eynard">Davide Eynard</a>, and <a href="/author/Colombetti">Marco Colombetti</a> </span><em>Semantic Web Application and Perspectives - Fourth Italian Semantic Web Workshop, </em><em>page 192--201. </em>(<em>December 2007</em>)Thu Jan 24 17:56:59 CET 2008Semantic Web Application and Perspectives - Fourth Italian Semantic Web WorkshopDec192--201Using WordNet to turn a folksonomy into a hierarchy of concepts2007ontology tagging wordnet http://www.bibsonomy.org/bibtex/276f12c6eccaf91e85db3ce6fb7fed03f/wnpxrzwnpxrz2008-01-24T17:56:46+01:00ontology tagging <span class="authorEditorList"><a href="/author/Damme">C�line Van Damme</a>, <a href="/author/Hepp">Martin Hepp</a>, and <a href="/author/Siorpaes">Katharina Siorpaes</a> </span><em>Bridging the Gep between Semantic Web and Web 2.0 SemNet 2007, </em><em>page 57-70. </em>(<em>2007</em>)Thu Jan 24 17:56:46 CET 2008Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)57-70FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies2007ontology tagging We can observe that the amount of non-toy domain ontologies is still very limited for many areas of interest. In contrast, folksonomies are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2) annotating pictures (e.g. flickr), or (3) classifying scholarly publications (e.g. bibsonomy). However, such folksonomies cannot offer the expressivity of ontologies, and the respective tags often lack a context-independent and intersubjective definition of meaning. Also, folksonomies and other unsupervised vocabularies frequently suffer from inconsistencies and redundancies. In this paper, we argue that the social interaction manifested in folksonomies and in their usage should be exploited for building and maintaining ontologies. Then, we sketch a comprehensive approach for deriving ontologies from folksonomies by integrating multiple resources and techniques. In detail, we suggest combining (1) the statistical analysis of folksonomies, associated usage data, and their implicit social networks, (2) online lexical resources like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies and Semantic Web resources, (4) ontology mapping and matching approaches, and (5) functionality that helps human actors in achieving and maintaining consensus over ontology element suggestions resulting from the preceding steps.http://www.bibsonomy.org/bibtex/2bb08b9c306562a46033632b33e2bb856/wnpxrzwnpxrz2008-01-24T17:54:55+01:00ontology tagging <span class="authorEditorList"><a href="/author/Newman">Richard Newman</a>, <a href="/author/Ayers">Danny Ayers</a>, and <a href="/author/Russell">Seth Russell</a> </span>(<em>December 2005</em>)Thu Jan 24 17:54:55 CET 2008DecemberTag Ontology2005ontology tagging An ontology that describes tags, as used in the popular del.icio.us and Flickr systems, and allows for relationships between tags to be described.http://www.bibsonomy.org/bibtex/27be112719b93a4d4263407afbf05cce1/wnpxrzwnpxrz2008-01-24T17:54:07+01:00collaborative filtering tagging <span class="authorEditorList"><a href="/author/Halpin">Harry Halpin</a>, <a href="/author/Robu">Valentin Robu</a>, and <a href="/author/Shepard">Hana Shepard</a> </span><em>Proceedings of the 1st Semantic Authoring and Annotation Workshop SAAW&#039;06, </em>(<em>2006</em>)Thu Jan 24 17:54:07 CET 2008Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW'06)The Dynamics and Semantics of Collaborative Tagging 2006collaborative filtering tagging The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification schemes can emerge from undirected tagging by users. Currently millions of users are using collaborative tagging without centrally organizing principles, and many suspect this exhibits features considered to be indicative of a complex system. If this is the case, it remains to be seem whether collaborative tagging by users over time leads to emergent classi- fication schemes that could be formalized into an ontology usable by the Semantic Web. This paper uses data from “popular” tagged sites on the social bookmarking site del.icio.us to examine the dynamics of such collaborative tagging systems. In particular, we are trying to determine whether the distribution of tag frequencies stabilizes, which indicates a degree of cohesion or consensus among users about the optimal tags to describe particular sites. We use tag co-occurrence networks for a sample domain of tags to analyze the meaning of particular tags given their relationship to other tags and automatically create an ontology. We also produce a generative model of collaborative tagging in order to model and understand some of the basic dynamics behind the process.http://www.bibsonomy.org/bibtex/2dd5ccfe1f5bef87cefd2a000e31d6558/wnpxrzwnpxrz2008-01-18T15:46:08+01:00blog tagging <span class="authorEditorList"><a href="/author/Mishne">Gilad Mishne</a> </span><em>WWW &#039;06: Proceedings of the 15th international conference on World Wide Web, </em><em>page 953--954. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2006</em>)<em>paper presented at the poster track . </em>Fri Jan 18 15:46:08 CET 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Webpaper presented at the poster track953--954AutoTag: a collaborative approach to automated tag assignment for weblog posts2006blog tagging This paper describes AutoTag, a tool which suggests tags for weblog posts using collaborative filtering methods. An evaluation of AutoTag on a large collection of posts shows good accuracy; coupled with the blogger's final quality control, AutoTag assists both in simplifying the tagging process and in improving its quality.http://www.bibsonomy.org/bibtex/2db794dcfb41cae7a5147a8234f7ea2eb/wnpxrzwnpxrz2008-01-12T11:42:06+01:00ontology semanticweb tagging <span class="authorEditorList"><a href="/author/Marchetti">Andrea Marchetti</a>, <a href="/author/Tesconi">Maurizio Tesconi</a>, <a href="/author/Ronzano">Francesco Ronzano</a>, <a href="/author/Rosella">Marco Rosella</a>, and <a href="/author/Minutoli">Salvatore Minutoli</a> </span><em>Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization, </em><em>Banff, Canada, </em>(<em>May 2007</em>)Sat Jan 12 11:42:06 CET 2008Banff, CanadaProc. WWW 2007 Workshop on Tagging and Metadata for Social Information OrganizationMaySemKey: A Semantic Collaborative Tagging System 2007ontology semanticweb tagging Andrea Marchetti, Maurizio Tesconi, Francesco Ronzano, Marco Rosella - Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization - May 2007 - Banff, Canadahttp://www.bibsonomy.org/bibtex/24d6bfbd16ba976f4a4aae985c2a92449/wnpxrzwnpxrz2007-12-04T16:09:52+01:00collaborative tagging <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, and <a href="/author/Loreto">Vittorio Loreto</a> </span>(<em>2007</em>)Tue Dec 04 16:09:52 CET 2007Vocabulary growth in collaborative tagging systems2007collaborative tagging Vocabulary growth in collaborative tagging systemshttp://www.bibsonomy.org/bibtex/206f68f9fe46dc6d0f646d932e428dec9/wnpxrzwnpxrz2007-12-03T17:37:36+01:00cloid ir proj:bk proj:et tag tagging visualization <span class="authorEditorList"><a href="/author/Hassan-Montero">Y. Hassan-Montero</a>, and <a href="/author/Herrero-Solana">V. Herrero-Solana</a> </span><em>InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies, </em>(<em>2006</em>)Mon Dec 03 17:37:36 CET 2007InScit2006: International Conference on Multidisciplinary Information Sciences and TechnologiesImproving Tag-Clouds as Visual Information Retrieval Interfaces2006cloid ir proj:bk proj:et tag tagging visualization Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to re-finding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and resources, constructing a social tag index, so-called folksonomy. At the same time of tagging-based system, has been popularised an interface model for visual information retrieval known as Tag-Cloud. In this model, the most frequently used tags are displayed in alphabetical order. This paper presents a novel approach to Tag-Cloud’s tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.CiteULike: Improving Tag-Clouds as Visual Information Retrieval Interfaceshttp://www.bibsonomy.org/bibtex/2baf236eafcb9b39d34339a798bfef58b/wnpxrzwnpxrz2007-11-21T16:05:02+01:00recommendersystems tagging tags <span class="authorEditorList"><a href="/author/Adrian">Benjamin Adrian</a>, <a href="/author/Sauermann">Leo Sauermann</a>, and <a href="/author/Roth-Berghofer">Thomas Roth-Berghofer</a> </span><em>Proceedings of I-Semantics&#039; 07, </em><em>page pp. 297-304. </em><em>JUCS, </em>(<em>2007</em>)Wed Nov 21 16:05:02 CET 2007Proceedings of I-Semantics' 07pp. 297-304ConTag: A semantic tag recommendation system2007recommendersystems tagging tags ConTag is an approach to generate semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 services. We designed and implemented a process to normalize documents to RDF format, extract document topics using Web 2.0 services and finally match extracted topics to a Semantic Web ontology. Due to ConTag we are able to show that the information provided by Web 2.0 services in combination with a Semantic Web ontology enables the generation of relevant semantic tag recommendations for documents. The main contribution of this work is a semantic tag recommendation process based on a choreography of Web 2.0 services.iknow2007 publicationshttp://www.bibsonomy.org/bibtex/2b1cb4183d3ad183709ed11780f1b5fdf/wnpxrzwnpxrz2007-11-19T15:49:43+01:00collaborative filtering folksonomy imported recommendersystems tagging tags web <span class="authorEditorList"><a href="/author/Niwa">S. Niwa</a>, <a href="/author/Doi">Takuo Doi</a>, and <a href="/author/Honiden">S. Honiden</a> </span><em>Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on, </em><em>page 388- 393. </em>(<em>2006</em>)Mon Nov 19 15:49:43 CET 2007Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on388- 393Web Page Recommender System based on Folksonomy Mining for ITNG ’06 Submissions2006collaborative filtering folksonomy imported recommendersystems tagging tags web There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.Welcome to IEEE Xplore 2.0: Web Page Recommender System based on Folksonomy Mining for ITNG ’06 Submissionshttp://www.bibsonomy.org/bibtex/25fbd24f07fe8784b516e69b0eb3192f3/wnpxrzwnpxrz2007-11-19T15:48:13+01:00bookmarking collaborative filtering recommendersystems social tagging <span class="authorEditorList"><a href="/author/Xu">Yanfei Xu</a>, <a href="/author/Zhang">Liang Zhang</a>, and <a href="/author/Liu">Wei Liu</a> </span><em>Frontiers of WWW Research and Development - APWeb 2006</em> (<em>2006</em>)Mon Nov 19 15:48:13 CET 2007Frontiers of WWW Research and Development - APWeb 2006733--738Cubic Analysis of Social Bookmarking for Personalized Recommendation2006bookmarking collaborative filtering recommendersystems social tagging Personalized recommendation is used to conquer the information overload problem, and collaborative filtering recommendation (CF) is one of the most successful recommendation techniques to date. However, CF becomes less effective when users have multiple interests, because users have similar taste in one aspect may behave quite different in other aspects. Information got from social bookmarking websites not only tells what a user likes, but also why he or she likes it. This paper proposes a division algorithm and a CubeSVD algorithm to analysis this information, distill the interrelations between different users’ various interests, and make better personalized recommendation based on them. Experiment reveals the superiority of our method over traditional CF methods. ER -SpringerLink - Book Chapterhttp://www.bibsonomy.org/bibtex/2157846898c1c2a65c265a913ebac115a/wnpxrzwnpxrz2007-11-19T15:46:45+01:00content recommendersystems tag tagging tags <span class="authorEditorList"><a href="/author/Byde">Andrew Byde</a>, <a href="/author/Wan">Hui Wan</a>, and <a href="/author/Cayzer">Steve Cayzer</a> </span><em>Proceedings of the International Conference on Weblogs and Social Media, </em>(<em>March 2007</em>)Mon Nov 19 15:46:45 CET 2007Proceedings of the International Conference on Weblogs and Social MediaMarchPersonalized Tag Recommendations via Tagging and Content-based Similarity Metrics2007content recommendersystems tag tagging tags This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases.http://www.bibsonomy.org/bibtex/258f1705eb270c20c6aaea2377f88e664/wnpxrzwnpxrz2007-10-20T16:26:01+02:00imported tagging tags web <span class="authorEditorList"><a href="/author/Chirita">Paul Alexandru Chirita</a>, <a href="/author/Costache">Stefania Costache</a>, <a href="/author/Nejdl">Wolfgang Nejdl</a>, and <a href="/author/Handschuh">Siegfried Handschuh</a> </span><em>WWW &#039;07: Proceedings of the 16th international conference on World Wide Web, </em><em>page 845--854. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2007</em>)Sat Oct 20 16:26:01 CEST 2007New York, NY, USAWWW '07: Proceedings of the 16th international conference on World Wide Web845--854P-TAG: large scale automatic generation of personalized annotation tags for the web2007imported tagging tags web P-TAGhttp://www.bibsonomy.org/bibtex/24440c3ca148004f3759456eac34e84fa/wnpxrzwnpxrz2007-10-14T10:45:51+02:00fca folksonomy imported mining tagging <span class="authorEditorList"><a href="/author/Kim">Hak Lae Kim</a>, <a href="/author/Hwang">Suk Hyung Hwang</a>, and <a href="/author/Kim">Hong Gee Kim</a> </span><em>SAC &#039;07: Proceedings of the 2007 ACM symposium on Applied computing, </em><em>page 1340--1345. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2007</em>)Sun Oct 14 10:45:51 CEST 2007New York, NY, USASAC '07: Proceedings of the 2007 ACM symposium on Applied computing1340--1345FCA-based approach for mining contextualized folksonomy2007fca folksonomy imported mining tagging FCA-based approach for mining contextualized folksonomyhttp://www.bibsonomy.org/bibtex/2e48f3552d61c3ac40bd38e73e21d1a91/wnpxrzwnpxrz2007-10-07T15:16:05+02:00learning personalization profile tagging user <span class="authorEditorList"><a href="/author/Michlmayr">Elke Michlmayr</a>, and <a href="/author/Cayzer">Steve Cayzer</a> </span><em>Tagging and Metadata for Social Information Organization Workshop, WWW07, </em>(<em>2007</em>)Sun Oct 07 15:16:05 CEST 2007Tagging and Metadata for Social Information Organization Workshop, WWW07Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access2007learning personalization profile tagging user http://www.bibsonomy.org/bibtex/2dd714f84969ebcb7436b3fa08b8993e2/wnpxrzwnpxrz2007-10-07T15:15:24+02:00context navigation social software tagging <span class="authorEditorList"><a href="/author/Bielenberg">K. Bielenberg</a> </span>(<em>2005</em>)Sun Oct 07 15:15:24 CEST 2007{Groups in Social Software: Utilizing Tagging to Integrate Individual Contexts for Social Navigation}2005context navigation social software tagging