http://www.bibsonomy.org/burst/user/dolefulrabbit/folksonomyBibSonomy BuRST Feed for /user/dolefulrabbit/folksonomy2008-08-21T13:20:55+02:00http://www.bibsonomy.org/bibtex/26db5d828b6bef6963cdb0d41b7563548/dolefulrabbitdolefulrabbit2008-05-08T11:32:59+02:00system search tagorapub tripleplay information tagora collaborative esair abbasi folksonomies staab folksonomy ecir tagging 2008 retrieval <span style="color:#555555;">Rabeeh <a href="http://www.bibsonomy.org/author/Abbasi">Abbasi</a> and Steffen <a href="http://www.bibsonomy.org/author/Staab">Staab</a> </span><em>Proceedings of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008), </em><em>32008. </em>Thu May 08 11:32:59 CEST 2008Proceedings of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008)3Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems2008system search tagorapub tripleplay information tagora collaborative esair abbasi folksonomies staab folksonomy ecir tagging 2008 retrieval Collaborative tagging systems (like Flickr, del.icio.us, citeulike, etc.) are becoming more popular with passage of time. Users share their resources on tagging systems, and add keywords (called tags) to these resources. Users can search resources using these tags. But as the user gives more tags for search, he might not get sufficient search results, because the resources might not be tagged with all the related tags. We introduce the method Triple Play, which smoothes the tag space by user space for improved retrieval of resources. As a part of Triple Play, we also propose two new vector space models for collaborative tagging systems, SmoothVSM Dense and SmoothVSM Sparse. These vector space models exploit the user-tag co-occurrence relationship to overcome the problem of missing information in tagging systems. Finally we apply Latent Semantic Analysis to different vector space models and analyze the results. Initial experimentation show that using additional information available in tagging systems helps in improving search in tagging systems.http://www.bibsonomy.org/bibtex/2ace5ff38dde26e6c9dbf9db4e31e6546/dolefulrabbitdolefulrabbit2007-07-18T18:01:49+02:00ontology toread folksonomy <span style="color:#555555;">C&#233;line Van <a href="http://www.bibsonomy.org/author/Damme">Damme</a> and Martin <a href="http://www.bibsonomy.org/author/Hepp">Hepp</a> and Katharina <a href="http://www.bibsonomy.org/author/Siorpaes">Siorpaes</a> </span><em>Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007), </em><em>page57-70. </em>(<em>2007</em>)Wed Jul 18 18:01:49 CEST 2007Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)57-70FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies2007ontology toread folksonomy 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/2f3254d8f1ded630a4225ab824804e837/dolefulrabbitdolefulrabbit2006-07-17T14:45:14+02:00analysis network seminar2006 association toread semantic folksonomy rules 2006 <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>Proc. IFCS 2006 Conference, </em><em>Ljubljana, </em><em>July2006. </em>Mon Jul 17 14:45:14 CEST 2006LjubljanaProc. IFCS 2006 ConferenceJulyMining Association Rules in Folksonomies2006analysis network seminar2006 association toread semantic folksonomy rules 2006