article · ePrints Soton (University of Southampton) · 2007
Adaptive Hypermedia through Contextualised Open Hypermedia Structures
Bailey, Christopher, Hall, Wendy, Millard, David E., Weal, Mark J.
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Abstract
The aim of this paper is to produce an alternative view of the Adaptive Hypermedia (AH) domain from a contextually aware Open Hypermedia (OH) perspective. We believe that a wide range of AH techniques can be supported with a small number of OH structures, which can be combined together to create more complex effects and could simplify the development of new AH systems. In this paper we re-examine Brusilovsky’s taxonomy of AH techniques from a structural perspective. The authors show that it is possible to identify and model common structures across the taxonomy of Adaptive techniques. An agent based adaptive hypermedia system called HA3L is presented, which uses these OH structures to provide a straightforward implementation of a variety of adaptive hypermedia techniques. This enables us to reflect on the structural equivalence of many of the techniques, demonstrate the advantages of the OH approach and can inform the design of future adaptive hypermedia systems.
Cite this paper
Bailey, C., Hall, W., Millard, D. E., & Weal, M. J. (2007). Adaptive Hypermedia through Contextualised Open Hypermedia Structures. ePrints Soton (University of Southampton).
Bailey, Christopher, et al. “Adaptive Hypermedia through Contextualised Open Hypermedia Structures.” ePrints Soton (University of Southampton), 2007.
Bailey, Christopher, Wendy Hall, David E. Millard, and Mark J. Weal. 2007. “Adaptive Hypermedia through Contextualised Open Hypermedia Structures.” ePrints Soton (University of Southampton).
Bailey, C. et al. (2007) ‘Adaptive Hypermedia through Contextualised Open Hypermedia Structures’, ePrints Soton (University of Southampton).
@article{bailey2007adaptive,
title = {{Adaptive Hypermedia through Contextualised Open Hypermedia Structures}},
author = {Bailey, Christopher and Hall, Wendy and Millard, David E. and Weal, Mark J.},
journal = {ePrints Soton (University of Southampton)},
year = {2007}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.