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. There’s a couple more that I have in mind, but they don’t seem to be working at the moment.
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. What many ontologies have in common in both computer science and in philosophy is the representation of entities, ideas, and events, along with their properties and relations, according to a system of categories.
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. 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
Everything is Miscellaneous
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.
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. In this way, the users of large social bookmarking sites like Delicious have created datasets of several hundreds of millions of triples. Over the last years, a whole body of literature has been created that’s concerned with making sense of this data (there’s an intuition that something valuable is in there; after all, each of these millions of triples means that somebody has thought *something*!).
Scientific social tagging - background knowledge come to surface (AquaRing Project)
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 Inside Learning Technologies Magazine, October 2008 Jane Hart is a Social Media & Learning Consultant who works with organisations to help them understand how new social media tools can be used for learning and performance support. Jane is also the founder of the Centre for Learning & Performance Technologies, where she keeps abreast of current and emerging technologies. The first phase of the Web (aka Web 1.0) was all about content publishing by “experts”, which for education and training meant the creation and delivery of online courses. In this three part article I am going to take a look at how some key social media tools can be used for learning, development and performance support, and how they can easily be implemented within a workplace learning environment. Social bookmarking Social file sharing Flickr is a photo sharing site.
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, Del.icio.us, 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. However, such services have several major drawbacks. First, most familiar systems of social bookmarking face the problem of uncontrolled growth of the tag set. Many existing systems try to overcome this problem by introducing lists of recommended tags. Furthermore, even one and the same user can occasionally forget the meaning of her own tag. Finally, the classic (multiple) tag search proves to be very limited. The Semantic Solution There are three crucial ingredients of our solution: NLP Core Fig. 1.
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? After the setup, the bulk of the session was an overview of the project and included a lot of back-and-forth with the audience members. In the overview of features (which are quite extensive), one could see a lot of del.icio.us and many of the other social bookmarking services. It's possible to comment on bookmarks, though Laurie said it isn't used very heavily. The pilot was with a limited set of users, picked to be the ones that would advocate even greater usage. Beyond the features, we spent a good amount of time talking about how people have reacted to the social bookmarking tool. And the statistics: The advertised description:
