BibSonomyburst/user/pecim7af/folksonomyBibSonomy RSS feed for /user/pecim7af/folksonomy2012-02-16T20:54:23+01:00http://www.bibsonomy.org/bibtex/2f7a1465e498f537b8f860764f71cafad/pecim7afpecim7af2008-12-21T20:33:28+01:00bookmarking folksonomies folksonomy internet social tagging users web web2.0 <span class="authorEditorList"><a href="/author/Morrison">P. Jason Morrison</a> </span><em>Bulletin of the American Society for Information Science and Technology</em> (<em>2007</em>)Sun Dec 21 20:33:28 CET 2008Bulletin of the American Society for Information Science and Technology 1Why Are They Tagging, and Why Do We Want Them To?342007bookmarking folksonomies folksonomy internet social tagging users web web2.0 A folksonomy is most likely to be successful when the goals of the website or information system intersect with the goals and motivations of users. So when considering how to add tagging functionality and how to build and use a folksonomy, we have to ask: What are folksonomies for, and why do users tag?Article on some of the reasons why sites create tagging systems and why users use them.http://www.bibsonomy.org/bibtex/2c522d6982d34510925f7abbccfb29e14/pecim7afpecim7af2008-12-21T20:26:44+01:00AKMB08 Flickr Folksonomy SocialTagging Web2.0 <span class="authorEditorList"><a href="/author/Marlow">Cameron Marlow</a>, <a href="/author/Naaman">Mor Naaman</a>, <a href="/author/Boyd">Danah Boyd</a>, and <a href="/author/Davis">Marc Davis</a> </span><em>HYPERTEXT &#039;06: Proceedings of the seventeenth conference on Hypertext and hypermedia, </em><em>page 31--40. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Sun Dec 21 20:26:44 CET 2008New York, NY, USAHYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia31--40HT06, tagging paper, taxonomy, Flickr, academic article, to read2006AKMB08 Flickr Folksonomy SocialTagging Web2.0 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 photo-sharing 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.HT06, tagging paper, taxonomy, Flickr, academic article, to readhttp://www.bibsonomy.org/bibtex/2bbd5169824c919321181c965053f7a9b/pecim7afpecim7af2008-12-21T17:52:15+01:002.0 2008 folksonomy logsonomy myown web web2.0 web20 <span class="authorEditorList"><a href="/author/Krause">Beate Krause</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the nineteenth ACM conference on Hypertext and hypermedia HT &#039;08, </em><em>page 157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Sun Dec 21 17:52:15 CET 2008New York, NY, USAProceedings of the nineteenth ACM conference on Hypertext and hypermedia (HT '08)157--166Logsonomy - social information retrieval with logdata20082.0 2008 folksonomy logsonomy myown web web2.0 web20 Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Today's search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user's information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.BibSonomy::bibtex::Logsonomy - social information retrieval with logdata