Group items tagged

Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge. Thanks to DBpedia, which extracts structured information from Wikipedia and represents it in a flexible data model, these tags are reference to objects which are categorized automatically, keeping your and your friend's bookmarks and interests well organized.

NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

In the following, we document the following types of information for behaviors (e.g., group goal setting), phenomena (e.g., team performance), or concepts (e.g., process gain), pathologies (e.g., social loafing), biases (e.g., loss aversion). For each, we list one or more of the following, depending on the richness of available research, listing both theories and empirical evidence where available: * Typology (what is it?) * Origins, mechanisms, mediators (how does it work?) * Issues, pathologies, biases (what are the problems with its workings?) * Determinants, moderators (what affects it, directly or indirectly?)

Efficient assembly of social semantic networks

Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for tags from the world's largest collection of knowledge!

ASMALLWORLD is the world's leading private online community that captures an existing international network of people who are connected by three degrees of separation. Members share similar backgrounds, interests and perspectives. ASMALLWORLD's unique platform offers powerful tools and user generated content to help members manage their private, social and business lives. Membership to ASMALLWORLD is by invitation only, which is part of what makes this network unique, and the connections, authentic. Trusted and loyal ASW members who meet certain criteria have the privilege of inviting a limited number of their friends to the network.

I'm fascinated with the way that a bunch of old ideas floating around from the dot com era are back, and now succeeding. Many of these apps are explicitly social, and are benefitting from the larger user population and increased comfort - it took quite a while for Match.com to catch on, and sixdegrees had much of the Friendster model down by 1996 and flamed out anyway. One really interesting category of these v 2.0 apps is shared bookmarking, a la the service Backflip from Back in the Day. So, with a minimum of editorializing, here is a list of places doing some form of shared link management, which are providing some of Tom Coates' "user-friendly throw-aroundable clumps of groupness."

The basic premise of the system is that users can tag items into their online archives and befriend other users to share access to part or all of their items saved. The real differentiation, however, is found in the feature set.

When your readers search for information in real life, their first step is to typically seek out a friend for the answer. If their friend doesn't have the answer they need, someone in that friend's social network may. Eventually, they get an answer they trust, because it came from a source they trust. Your readers can now have that same experience on the web and it all starts with the source they trust. That source is you, the blog publisher.

The intelligence aspect is that our tags have defined meanings, so when you tag a page, you are assigning it a definition rather than a simple word that could have multiple meanings. Having defined tags is what sets Zigtag apart from other social bookmarking web sites.

There is a revolution happening on the Internet that is alive and building momentum with each passing tag. With the advent of social software and Web 2.0, we usher in a new era of Internet order. One in which the user has the power to effect their own online experience, and contribute to others'. Today, users are adding metadata and using tags to organize their own digital collections, categorize the content of others and build bottom-up classification systems. The wisdom of crowds, the hive mind, and the collective intelligence are doing what heretofore only expert catalogers, information architects and website authors have done. They are categorizing and organizing the Internet and determining the user experience, and it's working. No longer do the experts have the monopoly on this domain; in this new age users have been empowered to determine their own cataloging needs. Metadata is now in the realm of the Everyman.

"This research is grounded in the anthropological understanding that each individual is a unique 'energy source' (Bateson 1972) responsible for acting upon their socially and culturally inflected interpretations in an equally particular way. These indexes capture the actual moments of interaction, of the coming together of individuals in conversational and behavioural exchange (Rapport and Overing 2000). The indexes in this research focus on the socio-cultural field (rather than physical, archaeological or linguistic sub-disciplines), which has been a key element of the discipline since its establishment in the 19th century. Above all, this report highlights how this Cultural Mapping project will offer unparalleled global access into anthropology's own minimal definition: that is, a means to see the Other as Self, and the Self as Other."

Interesting work, based in anthropology

Federating Distributed Social Data to Build an Interlinked Online Information Society

Open Context features an innovative folksonomy system that will encourage individual users to add value to the information in Open Context. This powerful social software allows users to add meaningful tags (keywords) to data they discover in their searches.

Here, we present a computational model that learns structures of many different forms and that discovers which form is best for a given dataset. The model makes probabilistic inferences over a space of graph grammars representing trees, linear orders, multidimensional spaces, rings, dominance hierarchies, cliques, and other forms and successfully discovers the underlying structure of a variety of physical, biological, and social domains. Our approach brings structure learning methods closer to human abilities and may lead to a deeper computational understanding of cognitive development.

OpenSocial's API reference describes a number of classes ('Person', 'Name', 'Email', 'Phone', 'Url', 'Organization', 'Address', 'Message', 'Activity', 'MediaItem', 'Activity', …), each of which has various properties whose values are either strings, references to instances of other classes, or enumerations. I'd like to make them usable beyond the confines of OpenSocial, so I'm making an RDF/OWL version. OpenSocial's schema is an attempt to provide an overarching model for much of present-day mainstream 'social networking' functionality, including dating, jobs etc. Such a broad effort is inevitably somewhat open-ended, and so may benefit from being linked to data from other complementary sources.

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

The Mike Wallace Interview Aldous Huxley 5/18/58 Aldous Huxley, social critic and author of Brave New World, talks to Wallace about threats to freedom in the United States, overpopulation, bureaucracy, propaganda, drugs, advertising, and television.

Sensemaking systems don't only help people find stuff faster. That's just the information retrieval part. The bigger story is about augmenting and amplifying our abilities to make sense. Sensemaking adds things like skimming, power reading, organizing, spotting patterns, tracing social networks, taking notes, summarizing, drilling for details, and flagging biases. Reading an article is different from reading a book, and that's different from reading from a collection or stream. Radically new forms of human-information interaction are being enabled by these new technologies. Sensemaking systems not only have front ends (visualization), but also back ends (content analytics and reasoning).