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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/22605

Title: Context-informed adaptive hypermedia
Author: CONLAN, OWEN
WADE, VINCENT PATRICK
Author's Homepage: http://people.tcd.ie/owconlan
Keywords: Context
Adaptive Hypermedia
eLearning
Issue Date: 2004
Citation: O’Connor, A., Wade, V., Conlan, O. ‘Context-informed adaptive hypermedia’ in proceedings of the Workshop on Advanced Context Modelling, Reasoning and Management, Nottingham, UK, September 2004
Abstract: Adaptive Hypermedia Systems have mechanisms for extensively modelling their domain of expertise, and reasoning over that domain to produce tailored web content. In general, these systems are supplied in advance with deep, explicit models of the relevant axes of adaptivity. Current designs in Adaptive Hypermedia therefore attempt to model the entire sphere of experience of the system deeply and without separation. Contextual input, on the other hand, is arbitrarily defined, and deep models are not separated from ‘shallow interest’ contextual data. It is desirable to model this data separately so as to reduce the size of AH models and to encapsulate low-level sensor data as high-level interpreted concepts. This paper presents a novel method for applying contextual information to an Adaptive Hypermedia eLearning system, providing a clear boundary between ‘core’ adaptive axes and contextual information. An outline of the architecture of an integrated Context Interpretation system with an Adaptive Hypermedia System is provided, along with analysis of the mechanisms by which contextual information may be applied to the specific case of eLearning, and in more general systems.
Description: PUBLISHED
URI: https://www.cs.tcd.ie/Owen.Conlan/publications/ubicomp2004_oconnor_v1.pdf
http://hdl.handle.net/2262/22605
ISSN: 37216
Appears in Collections:Computer Science (Scholarly Publications)

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