http://www.bibsonomy.org/burst/user/dbenz/taxonomyBibSonomy BuRST Feed for /user/dbenz/taxonomy2008-08-21T13:10:23+02:00Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipediahttp://www.bibsonomy.org/bibtex/29c69bc97d22b7e5c2d90d8765b491a16/dbenzdbenz2008-04-14T09:27:59+02:00comparison taxonomy clustering toread wikipedia <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Capocci">Capocci</a> and F. <a href="http://www.bibsonomy.org/author/Rao">Rao</a> and G. <a href="http://www.bibsonomy.org/author/Caldarelli">Caldarelli</a> </span>(<em>2007</em>)Mon Apr 14 09:27:59 CEST 2008Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia2007comparison taxonomy clustering toread wikipedia In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia. We find a statistical similarity in the distributions of community sizes both by using the top-down approach of the categories division present in the archive and in the bottom-up procedure of community detection given by an algorithm based on the spectral properties of the graph. Regardless the statistically similar behaviour the two methods provide a rather different division of the articles, thereby signaling that the nature and presence of power laws is a general feature for these systems and cannot be used as a benchmark to evaluate the suitability of a clustering method.http://www.bibsonomy.org/bibtex/2d9f433de0945351fa2157c1424d9fe67/dbenzdbenz2007-09-11T13:31:31+02:00bookmarking review folksonomy_background tagging comperative taxonomy del.icio.us folksonomy flickr diploma_thesis <span style="color:#555555;">Cameron <a href="http://www.bibsonomy.org/author/Marlow">Marlow</a> and Mor <a href="http://www.bibsonomy.org/author/Naaman">Naaman</a> and Danah <a href="http://www.bibsonomy.org/author/Boyd">Boyd</a> and Marc <a href="http://www.bibsonomy.org/author/Davis">Davis</a> </span><em>Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006, </em><em>Edinburgh, Scotland, </em><em>May2006. </em>Tue Sep 11 13:31:31 CEST 2007Edinburgh, ScotlandProceedings of the Collaborative Web Tagging Workshop at the WWW 2006May{Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead}2006bookmarking review folksonomy_background tagging comperative taxonomy del.icio.us folksonomy flickr diploma_thesis In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., �tags�) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems. Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photosharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.http://www.bibsonomy.org/bibtex/2c62b4e1dc65490d68bef7eaed01f83ea/dbenzdbenz2007-09-11T13:31:23+02:00taxonomy nlp diploma_thesis eventually_useful <span style="color:#555555;">Philipp <a href="http://www.bibsonomy.org/author/Cimiano">Cimiano</a> and Steffen <a href="http://www.bibsonomy.org/author/Staab">Staab</a> and Julien <a href="http://www.bibsonomy.org/author/Tane">Tane</a> </span><em>Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia, </em><em>page10-17. </em>(<em>2003</em>)Tue Sep 11 13:31:23 CEST 2007Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia10-17Automatic Acquisition of Taxonomies from Text: FCA meets NLP2003taxonomy nlp diploma_thesis eventually_useful http://www.bibsonomy.org/bibtex/2a6010ad0fef7cb1442298402ebb979b6/dbenzdbenz2007-05-25T16:05:53+02:00diploma_thesis closely_related taxonomy tagging folksonomy <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>Computer Science Department, Standford University, </em><em>April2006. </em>Fri May 25 16:05:53 CEST 2007AprilCollaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems2006diploma_thesis closely_related taxonomy tagging folksonomy 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.