How to find and consume Open Data on the Web
This tutorial, organised as a mix of lectures and hands-on sessions, is about tapping into the massive amount of Open Data that can be found on the Web. Open Data is data that is “(…) open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share-alike.” (http://opendefinition.org/). Over the last couple of years, many governmental institutions, research communities and individuals have figured out that data is better off being shared rather that staying behind close doors. This change of mind set triggered a movement for publish Open Data on the Web, in different formats, that doesn’t seem close to loose any of its momentum. In this tutorial we will first discuss the motivations behind publishing Open Data, describe the tools making it easier to find Open data sets and briefly review ways to publish Open data. A second part of this tutorial will be dedicated to the publication and consumption of Open Data as Open Linked Data.
Open Linked Data is a set of good practices and recommendations supported by the W3C, the organism behind the Web itself, that is being increasingly used by data publishers.
Christophe Guéret is working on the CEDAR project. His research interests are the publication/consumption of Linked Data, the complex system analysis of data networks and the interplay between Semantic Web challenges and Computational Intelligence techniques. Before joining the eHumanities Group, he worked between 2007 and 2011 at the Vrije Universiteit in Amsterdam with Prof. Frank Van Harmelen on two project: “Self-Organizing Knowledge Systems” (SOKS) and “LOD Around the Clock” (LATC). During these two project he developped interest and skills around the publication of Linked Data and the analysis of its content. Besides CEDAR, he is actively putting this skills in use in doing consultency for ScienceWISE.info and leading the SemanticXO contributor project for OLPC.