NO ONE CAN READ EVERYTHING.We rely on filters to make sense of the scholarly literature, but the narrow, traditional filters are being swamped. However, the growth of new, online scholarly tools allows us to make new filters; these alt-metrics reflect the broad, rapid impact of scholarship in this burgeoning eco-system. We call for more tools and research based on altmetrics.
How to Publish Linked Data on the Web
Authors:
Chris Bizer (Web-based Systems Group, Freie Universität Berlin, Germany)
Richard Cyganiak (Web-based Systems Group, Freie Universität Berlin, Germany)
Tom Heath (Knowledge Media Institute, The Open University, Milton Keynes, UK)
This version:
http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/20070727/
Latest version:
http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/
Abstract
This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web.