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Slicepedia: Towards Long Tail Resource Production through Open Corpus Reuse

  • Killian Levacher
  • Seamus Lawless
  • Vincent Wade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7558)

Abstract

The production of resources supporting the needs of Adaptive Hypermedia Systems (AHS) is labor-intensive. As a result, content production is focused upon meeting the needs of resources with higher demand, which limits the extent upon which long tail content requirement niches of AHS can be met. Open corpus slicing attempts to convert the wealth of information available on the World Wide Web, into customizable information objects. This approach could provide the basis of an open corpus supply service meeting long tail content requirements of AHS. This paper takes a case study approach, focusing on an educational sector of adaptive hypermedia, to test out the effect of using Slicepedia, a service which enables the discovery, reuse and customization of open corpus resources. An architecture and implementation of the system is presented along with a user-trial evaluation suggesting slicing techniques could represent a valid candidate for long tail content production supply of AHS.

Keywords

Open Corpus Content Production Production System Service Computer Adaptive Test Content Requirement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Killian Levacher
    • 1
  • Seamus Lawless
    • 1
  • Vincent Wade
    • 1
  1. 1.Trinity College DublinIreland

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