"Zootool is about collecting, organizing and sharing your favorite images, videos, documents and links from all over the internet.
We are a small, bootstrapped startup, located in Mannheim, Germany. Driven by a passion for design, web, code and all kind of nerdery, we are working hard to built the most awesome bookmark tool for geeks like us and people who love the web."
(Bastian Allgeier, Hartmut Wöhlbier and Nicolas Cormier)
"It is counter-intuitive in the extreme, but young researchers are failing to make use of so-called 'emergent technology', such as Web 2.0 tools, to support their work.
A three-year study by the British Library, Researchers of Tomorrow, is tracking the research behaviour of doctoral students born between 1982 and 1994 - dubbed 'Generation Y'. ...
Interim results, released to Times Higher Education, show that only a small proportion of those surveyed are using technology such as virtual-research environments, social bookmarking, data and text mining, wikis, blogs and RSS-feed alerts in their work. This contrasts with the fact that many respondents professed to finding technological tools valuable."
(Times Higher Education, 5 November 2009)
"A simple tool to save web pages for reading later."
[The tool caches a simplified version of your selected page e.g. basic HTML mark-up, images, links. It provides a bookmarklet to simplify your collection process and requires a user-account to retrieve saved pages.]
"The reason that a focus on Web 2.0 is significant and needed is because the popular web applications it represents are driven by users providing endless and virtually unlimited information about their everyday lives. To put it in Lash's terms, they are clearly on the inside of the everyday, they are up close, they afford direct and routine connections between people and software. We have not yet begun to think through how this personal information might be harvested and used. A starting point would be to find out how this information about everyday mundane lives is being mined, how this feeds into ‘relational databases', and with what consequences: the very types of question that are being asked by the writers discussed here. Alongside this it is also important that we consider how the information provided by users, and other ‘similar' users, might affect the things they come across. If we return to Last.fm, which ‘learns' users' tastes and preferences and provides them with their own taste-specific online radio station, it is possible to appreciate how the music that people come across and listen to has become a consequence of algorithms. This is undoubtedly an expression of power, not of someone having power over someone else, but of the software making choices and connections in complex and unpredictable ways in order to shape the everyday experiences of the user. How we find the books that shape our writing could be a question we might ask ourselves if we wish to consider the power that algorithms exercise over us and over the formation of knowledge within our various disciplines. (I know of at least two occasions when Amazon has located a book of interest for me that has then gone on to form an important part of a published work.) This is not just about Amazon, it would also include searches on Google Scholar, the use of the bookmarking site Del.icio.us, the RSS feeds we might use, or the likely coming applications that will predict, locate and recommend research articles we might be interested in. Readers based in the UK will also by now be considering the power of algorithms to decide the allocation of research funding as the role of metrics in the forthcoming Research Excellence Framework (REF) are finalized."
(David Beer, 996-997)
Beer, D. (2009). "Power through the algorithm? Participatory web cultures and the technological unconscious." New Media & Society 11(6).
"MrTaggy is an experiment in web search and exploration built on top of a PARC algorithm called TagSearch. Think of MrTaggy as a cross between a search engine and a recommendation engine: it's a web browsing guide constructed from social tagging data.
Unlike most search engines, MrTaggy doesn't index the text on a web page. Instead, it leverages the knowledge contained in the tags that people add to web pages when using social bookmarking services. Tags describe both the content and context of a web page, and we use that information to deliver relevant search results.
The problem with using social tags is that they contain a lot of noise, because people often use different words to mean the same thing or the same words to mean different things. The TagSearch algorithm is part of our ongoing research to reduce the noise while amplifying the information signal from social tags."
(PARC’s Augmented Social Cognition Area)