Knowledge Spaces |
Knowledge spaces (kspaces for short) are a metaphor, a set of models and processes, and a social web platform that help you capture, share and find scientific knowledge, in all of its forms.
Kspaces aim at providing the models, processes, metrics and tools to support this informal and social way of disseminating knowledge among the scientific community at large and via the Web, complementing the well-established method of papers published in conferences and journals after peer review. The goal is to use a web-based system to enable the capturing of these evolutionary bits of knowledge and data, however they may be expressed, as well as the capturing of ideas and opinions about knowledge, and leverage this information and meta-information to spread knowledge virally. Capturing opinions on knowledge is particularly important. The fact for example that somebody (and especially somebody we “trust”) shares a paper tells us a lot on the value of this paper, much more than a citation can do. As readers, we relate them, in our mind, with prior knowledge. When listening to a talk we think that other work is relevant to the one being presented and often we jot it down in our own personal notes. In a world where information comes out from the web like from a hose, this knowledge about knowledge becomes essential to dissemination. Tagging, annotating and connecting the dots (linking resources in a way much more useful to science than citations) become almost as important as the dots themselves.