PUMA publications for /user/stumme/taxonomyhttps://puma.uni-kassel.de/user/stumme/taxonomyPUMA RSS feed for /user/stumme/taxonomy2024-03-29T15:22:50+01:00Collaborative tagging as a tripartite networkhttps://puma.uni-kassel.de/bibtex/265c6f348a54f872fb3e60b4bd64b485b/stummestumme2010-05-04T00:24:03+02:00FCA OntologyHandbook collaboration discovery folksonomy tagging taxonomy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Lambiotte" itemprop="url" href="/author/R.%20Lambiotte"><span itemprop="name">R. Lambiotte</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Ausloos" itemprop="url" href="/author/M.%20Ausloos"><span itemprop="name">M. Ausloos</span></a></span>. </span>(<em><span>Dezember 2005<meta content="Dezember 2005" itemprop="datePublished"/></span></em>)<em>\tt arXiv:cs.DS/0512090.</em>Tue May 04 00:24:03 CEST 2010dec{\tt arXiv:cs.DS/0512090}Collaborative tagging as a tripartite network2005FCA OntologyHandbook collaboration discovery folksonomy tagging taxonomy We describe online collaborative communities by tripartite networks,
the nodes being persons, items and tags. We introduce projection
methods in order to uncover the structures of the networks, i.e.
communities of users, genre families... <br />To do so, we focus
on the correlations between the nodes, depending on their profiles,
and use percolation techniques that consist in removing less correlated
links and observing the shaping of disconnected islands. The structuring
of the network is visualised by using a tree representation. The
notion of diversity in the system is also discussed.fcaCollaborative Tagging and Semiotic Dynamicshttps://puma.uni-kassel.de/bibtex/28d265ea13915a79ec08fe13b8e7074c7/stummestumme2008-03-28T12:11:30+01:00FCA OntologyHandbook folksonomy research tagging taxonomy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ciro Cattuto" itemprop="url" href="/author/Ciro%20Cattuto"><span itemprop="name">C. Cattuto</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vittorio Loreto" itemprop="url" href="/author/Vittorio%20Loreto"><span itemprop="name">V. Loreto</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Luciano Pietronero" itemprop="url" href="/author/Luciano%20Pietronero"><span itemprop="name">L. Pietronero</span></a></span>. </span>(<em><span>Mai 2006<meta content="Mai 2006" itemprop="datePublished"/></span></em>)<em>\tt arXiv:cs.CY/0605015.</em>Fri Mar 28 12:11:30 CET 2008May{\tt arXiv:cs.CY/0605015}Collaborative Tagging and Semiotic Dynamics2006FCA OntologyHandbook folksonomy research tagging taxonomy Collaborative tagging has been quickly gaining ground because of its
ability to recruit the activity of web users into effectively organizing
and sharing vast amounts of information. Here we collect data from
a popular system and investigate the statistical properties of tag
co-occurrence. We introduce a stochastic model of user behavior embodying
two main aspects of collaborative tagging: (i) a frequency-bias mechanism
related to the idea that users are exposed to each other's tagging
activity; (ii) a notion of memory - or aging of resources - in the
form of a heavy-tailed access to the past state of the system. Remarkably,
our simple modeling is able to account quantitatively for the observed
experimental features, with a surprisingly high accuracy. This points
in the direction of a universal behavior of users, who - despite
the complexity of their own cognitive processes and the uncoordinated
and selfish nature of their tagging activity - appear to follow simple
activity patterns.Measures and Applications of Lexical Distributional Similarityhttps://puma.uni-kassel.de/bibtex/2d3cd471653813c03818c23cc5982417f/stummestumme2007-10-30T23:50:06+01:00distance lexical measure measures relatedness similarity taxonomy <meta content="thesis" itemprop="educationalUse"/><span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julie Weeds" itemprop="url" href="/author/Julie%20Weeds"><span itemprop="name">J. Weeds</span></a></span>. </span><em>Department of Informatics, University of Sussex, </em>(<em><span>2003<meta content="2003" itemprop="datePublished"/></span></em>)Tue Oct 30 23:50:06 CET 2007Measures and Applications of Lexical Distributional Similarity2003distance lexical measure measures relatedness similarity taxonomy Using Information Content to Evaluate Semantic Similarity in a Taxonomyhttps://puma.uni-kassel.de/bibtex/28edbd78ec00b2649fd6b6b5a85fc03ff/stummestumme2007-10-30T23:21:13+01:00information measure semantic similarity taxonomy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philip Resnik" itemprop="url" href="/author/Philip%20Resnik"><span itemprop="name">P. Resnik</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the XI International Joint Conferences on Artificial</span>, </em></span><em>Seite <span itemprop="pagination">448-453</span>. </em>(<em><span>1995<meta content="1995" itemprop="datePublished"/></span></em>)Tue Oct 30 23:21:13 CET 2007Proceedings of the XI International Joint Conferences on Artificial448-453{Using Information Content to Evaluate Semantic Similarity in a Taxonomy}1995information measure semantic similarity taxonomy