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An empirical analysis of the complex dynamics of tagging systems, published in 2007,[8] has shown that consensus around stable distributions and shared vocabularies does emerge, even in the absence of a central controlled vocabulary. For content to be searchable, it should be categorized and grouped. While this was believed to require commonly agreed on sets of content describing tags (much like keywords of a journal article), recent research has found that, in large folksonomies, common structures also emerge on the level of categorizations.[9] Accordingly, it is possible to devise mathematical models of collaborative tagging that allow for translating from personal tag vocabularies (personomies) to the vocabulary shared by most users.[10] Origin[edit] Folksonomy is a type of collaborative tagging system in which the classification of data is done by users. Folksonomies consist of three basic entities: users, tags, and resource. There are two different groups of folksonomies.

Related:  SOCIAL BOOKMARKING & Related ConceptsSaved Wiki

Taxonomy From Wikipedia, the free encyclopedia Taxonomy may refer to: Science[edit] In business and economics[edit] In education[edit] Bloom's taxonomy, a standardized categorization of learning objectives in an educational contextClassification of Instructional Programs, a taxonomy of academic disciplines at institutions of higher education in the United StatesSOLO Taxonomy, Structure of Observed Learning Outcome, proposed by Biggs and Collis Social bookmarking Common features[edit] In a social bookmarking system, users save links to web pages that they want to remember and/or share. These bookmarks are usually public, and can be saved privately, shared only with specified people or groups, shared only inside certain networks, or another combination of public and private domains. This page is a static permanent web document. It has been written to provide a place to cite the coinage of folksonomy. This is response the request from many in the academic community to document the circumstances and date of the creation of the term folksonomy. The definition at creation is also part of this document. This document pulls together bits of conversations and ideas I wrote regarding folksonomy on listserves, e-mail, in my blogs and in blog comments on other's sites in 2004.

The complex dynamics of collaborative 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 whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site delicio. us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for "popular" sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems.

Visualizing Roundup I have been coming across many tools to visualize usage during my daily researching hours. So many, that I have decided to start making note of the ones I come across. From the span of about two weeks, I have been collecting as many as I could find. I will list each one along with a description. Categories, Links, and Tags Ontology is Overrated: Categories, Links, and Tags This piece is based on two talks I gave in the spring of 2005 -- one at the O'Reilly ETech conference in March, entitled "Ontology Is Overrated", and one at the IMCExpo in April entitled "Folksonomies & Tags: The rise of user-developed classification." The written version is a heavily edited concatenation of those two talks. Today I want to talk about categorization, and I want to convince you that a lot of what we think we know about categorization is wrong. In particular, I want to convince you that many of the ways we're attempting to apply categorization to the electronic world are actually a bad fit, because we've adopted habits of mind that are left over from earlier strategies. I also want to convince you that what we're seeing when we see the Web is actually a radical break with previous categorization strategies, rather than an extension of them.

Ontology (information science) In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways. The word element onto- comes from the Greek ὤν, ὄντος, ("being", "that which is"), present participle of the verb εἰμί ("be").

Tag (metadata) The use of keywords as part of an identification and classification system long predates computers. Paper data storage devices, notably edge-notched cards, that permitted classification and sorting by multiple criteria were already in use prior to the twentieth century, and faceted classification has been used by libraries since the 1930s. Online databases and early websites deployed keyword tags as a way for publishers to help users find content. In the early days of the World Wide Web, the keywords meta element was used by web designers to tell web search engines what the web page was about, but these keywords were only visible in a web page's source code and were not modifiable by users.

Semantic Web The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C).[1] The standard promotes common data formats on the World Wide Web. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web, dominated by unstructured and semi-structured documents into a "web of data". The Semantic Web stack builds on the W3C's Resource Description Framework (RDF).[2] According to the W3C, "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries".[2] The term was coined by Tim Berners-Lee for a web of data that can be processed by machines.[3] While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept. History[edit]

Visualizing the contents of social bookmarking systems I’ve decided to post a few visualizations I’ve made some time ago as part of my PhD work. The method has been published, but more as a sidenote [1]; also, I’ve since applied it to additional datasets, so I thought it might be interesting to share those images. In my PhD thesis, I try to make sense of the large bodies of data that are accumulated by people saving resources online, tagging them with whatever words they choose in order to find them later on.

Social Media & Learning: Pt 1 Social bookmarking, networking and file sharing Jane Hart's Articles & Presentations Social Media and Learning Part 1: Social bookmarking, social file-sharing and social networking In Search of Tags Lost: Combining Social Bookmarking and SemWeb Technologies Executive Summary We introduce a web application which integrates the core idea of social bookmarking with semantic components allowing to enhance search and navigation, and to overcome the drawbacks of collaborative tagging. Social Bookmarking and its Limits Social bookmarking services such as StumbleUpon,, Diigo, etc. have proved to be a relatively successful Web 2.0 application. These services allow users to tag web pages or page fragments and explore bookmarks created by others. For instance StumbleUpon claims to have over 6.8 million members as of January 2009.

Social Bookmarking in the Enterprise at MITRE The Boston KM Forum topic this evening was Tag Me! Social Bookmarking in the Enterprise, a talk by Laurie Damianos of MITRE (an interview with her at CMU). Going into the talk, the most interesting thing to me is Laurie's title: she's a Lead Artificial Intelligence Engineer - Can I get that job? Why social bookmarking in the enterprise? MITRE started this project in 2005, when the concept was just blooming from the public web.

Tag cloud foundation-l word cloud, created with the complete gzip'ed list archives (without duplicate emails from archives and all headers and quoted text in body), using IBM Word Cloud Generator build 32.[1] A tag cloud with terms related to Web 2.0 History[edit]