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Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4018))

Abstract

Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency and student empowerment. However, a key problem with such systems is their reliance on bespoke content developed for, and only used by, these systems. The challenge for adaptive systems in scalably supporting personalised elearning is its ability to source, harvest and deliver open corpus content to adaptive content services and personalised elearning systems. This paper examines the issues involved in implementing such an adaptive content service. The paper seeks to explore the accurate extraction of content requirements from the adaptive system, the sourcing and identification of suitable learning content, the harvesting and customisation of the content for delivery to adaptive elearning systems.

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Authors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College, Dublin, Ireland

    Séamus Lawless & Vincent Wade

Authors
  1. Séamus Lawless
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  2. Vincent Wade
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Editor information

Editors and Affiliations

  1. Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland

    Vincent P. Wade

  2. School of Computer and Information Science, University of South Australia, Australia

    Helen Ashman

  3. Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Ireland

    Barry Smyth

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© 2006 Springer-Verlag Berlin Heidelberg

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Lawless, S., Wade, V. (2006). Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_67

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  • DOI: https://doi.org/10.1007/11768012_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34696-8

  • Online ISBN: 978-3-540-34697-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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