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#knowledge #governance #learning
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KF: An interesting book available under a reasonably new “copyfarleft” licensing arrangement. The book provides some useful insights into openness and peer/collaborative production strategies. It brings to mind the Cachalot book from Duke University where expertise is crowd-sourced, peer review is managed and distribution is open-source. These new models of content creation and distribution are set to challenge the established (dis)order of publishing and distribution.
The Open Knowledge Initiative Project defines open architectural specifications that support the development of educational software by simplifying the methods ...
As the leading international open knowledge event, the Open Knowledge Conference (2011 website here) has gathered top-level experts, decision-makers, advocates, and researchers from all over the world each year to debate and advance this rapidly developing field.
Creative Commons licenses provide a flexible range of protections and freedoms for authors, artists, and educators.
Defining the Open in Open Data, Open Content and Open Services...
the Data Hub contains 4373 datasets that you can browse, learn about and download.
If you are serious about creating a programming environment for learning, the number one thing you can do -- more important than live coding or adjustable constants, more important than narrated lessons or discussion forums, more important than badges or points or ultra-points or anything else -- is to show the data.
"Knowledge representation" (KR) refers to a system for representing Knowledge inside the Memory of an intelligent system.
Put differently, KR has to do with the nature and organization of Knowledge Components in a Mind.
Every mind must have some system of KR, but the system could be highly complex and dynamic ... or it could be simple, static, and easy to describe.
In this talk I will present the OpenKnowledge framework and its current test applications in the case study scenarios (emergency response and bioinformatics). The framework, initially developed as a testing ground for the ideas emerging from the OpenKnowledge project, has grown into a working system that has recently seen the first release.
Open Knowledge Collaborative gives you the tools and the capacity to impress your board, your donors, and your constituents.
Open Knowledge means a set of methodologies and principles that are related to both the distribution and the production of different knowledge works.
Open Data Kit (ODK) is an open-source mobile data collection toolkit for the citizen science, public health, and environmental monitoring.
Governments around the world are making data available. But ordinary people need to be told what's out there and how to use it.
"The technological perspective represented by the Open Data Movement. Open data is a philosophy and practice requiring that certain data be freely available to everyone, without restrictions from copyright, patents or other mechanisms of control."
As digital information becomes increasingly cheap and ubiquitous, how will we keep abreast with the rising tide of data? We investigate the perceptual, cognitive, and social factors involved in making sense of large data collections, and develop novel interactive systems for visual analysis and communication.
Loom® and PowerLoom® are knowledge representation languages developed by researchers in the Artificial Intelligence research group at the University of Southern California's Information Sciences Institute. The Loom project's goal is the development and fielding of advanced tools for knowledge representation and reasoning in Artificial Intelligence.
Building technology and communities to create, share and use open information.
The platform is primarily interactive, offering its members the opportunity to comment, publicly or privately, on topics raised and to test projects in the course of their development.In short, this space is specifically designed for members to participate in exchange and debate.
The Open Data Foundation (ODaF) is a non-profit organization dedicated to the adoption of global metadata standards and the development of open-source solutions promoting the use of statistical data. We focus on improving data and metadata accessibility and overall quality in support of research, policy making, and transparency, in the fields of economics, finance, healthcare, education, labor, social science, technology, agriculture, development, and the environment. While we see this information as being primarily statistical in nature, it is understood that it can be drawn from a wide variety of sources and therefore may include information not traditionally seen as such.