Using linked data to reduce learning latency for e-book readers

Authors:
Julien Robinson;Johann Stan;Myriam Ribière
Affiliations:
Alcatel-Lucent Bell Labs France, Nozay, France;Alcatel-Lucent Bell Labs France, Nozay, France;Alcatel-Lucent Bell Labs France, Nozay, France
Venue:
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Year:
2011

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Abstract

Web 2.0 technologies provide an opportunity to transform learning into a social experience: social learning can directly benefit from user-generated content analysis. The e-book device is an object central to the learning process; it becomes an ideal medium to promote innovative learning tools. In this paper, we describe how we analyse user annotations in e-books using Linked Data to reduce the latency between professor knowledge, book content and student assimilation.