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. The allowed people can usually view these bookmarks chronologically, by category or tags, or via a search engine. Many social bookmarking services provide web feeds for their lists of bookmarks, including lists organized by tags. As these services have matured and grown more popular, they have added extra features such as ratings and comments on bookmarks, the ability to import and export bookmarks from browsers, emailing of bookmarks, web annotation, and groups or other social network features.[4] History[edit] A user page on del.icio.us in May 2004, displaying bookmarks with tags. Folksonomy[edit] Uses[edit] Enterprise bookmarking[edit] Libraries[edit] Education[edit]
Folksonomy 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. There are two different groups of folksonomies. Semantic Web[edit] Library Catalogs[edit] Folksontology[edit] See also[edit]
Folksonomy :: vanderwal.net 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. Background I have been a fan of ad hoc labeling and tagging systems since at least the late 1980s after watching a co-worker work his magic with Lotus Magellan (he would add his own ad hoc keywords or tags to the documents on his hard drive, paying particular attention to add these tags to documents others created so to add his context). In 2003 del.icio.us was started by Joshua Schacter and it included identity in its social bookmarking. Creation of Folksonomy Term Definition of Folksonomy
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. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise.
Everything is Miscellaneous Visualizing Del.icio.us Roundup I have been coming across many del.icio.us 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. Enjoy! There’s a couple more that I have in mind, but they don’t seem to be working at the moment. Ontology is Overrated -- 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. 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. What I think is coming instead are much more organic ways of organizing information than our current categorization schemes allow, based on two units -- the link, which can point to anything, and the tag, which is a way of attaching labels to links. PART I: Classification and Its Discontents # And yet. Domain
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"). According to Gruber (1993): Common components of ontologies include:
Tag (metadata) Keyword assigned to information 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. Within application software [edit] Assigned to computer files There are various systems for applying tags to the files in a computer's file system. Advantages and disadvantages Complex system dynamics
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] Purpose[edit] Limitations of HTML[edit] Semantic Web solutions[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. Each time a user u saves a document d, using the tags t1, t2, and t3, three triples (d,u,t1), (d,u,t2), (d,u,t3) are created. Here’s what I’ve done: For the technically inclined, the similarity between documents is computed as a so-called cosine similarity: Each document is represented by a large vector containing, for each tag, the number of users that have used that tag to describe the document. Visualize.us, a social bookmarking site for images. One month of Delicious (12/2007) [2], a social bookmarking service for URLs