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.
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Robinson, J., Stan, J., Ribière, M. (2012). Using Linked Data to Reduce Learning Latency for e-Book Readers. In: GarcÃa-Castro, R., Fensel, D., Antoniou, G. (eds) The Semantic Web: ESWC 2011 Workshops. ESWC 2011. Lecture Notes in Computer Science, vol 7117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25953-1_3
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DOI: https://doi.org/10.1007/978-3-642-25953-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25952-4
Online ISBN: 978-3-642-25953-1
eBook Packages: Computer ScienceComputer Science (R0)