Adaptive hypermedia services using semantic web reasoning

Sungkyu Chun, Giho Jang, Hyosook Jung, Seung Seok Kang, Seongbin Park

Research output: Contribution to journalArticle

Abstract

Adaptive hypermedia is a way to provide different contents to users with different backgrounds based on user models and adaptation models defined inside a system. While it is possible to define various types of adaptations that can be made in a system, they are rather simple in the sense that they have a simple pattern, i.e., eventcondition- action. In this paper, we propose a way to extend adaptive services in such a way that adaptations can be supported by a Semantic Web reasoning service. The advantage of our approach lies in that more general adaptations which are based on first order logic can be supported. To illustrate our ideas, we have implemented a system by which an open source adaptive hypermedia system, AHA! (http://aha.win.tue.nl) is combined with an open source Semantic Web reasoning system, EYE (http://eulersharp.sourceforge.net/).

Original languageEnglish
Pages (from-to)3279-3283
Number of pages5
JournalAdvanced Science Letters
Volume22
Issue number11
DOIs
Publication statusPublished - 2016 Nov 1

Fingerprint

Hypermedia
Adaptive Hypermedia
Semantic Web Services
hypermedia
Semantic Web
Semantics
Reasoning
semantics
Hypermedia systems
Open Source
User Model
First-order Logic
logic
services

Keywords

  • Adaptive hypermedia
  • Reasoning
  • Semantic web

ASJC Scopus subject areas

  • Health(social science)
  • Computer Science(all)
  • Education
  • Mathematics(all)
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)

Cite this

Adaptive hypermedia services using semantic web reasoning. / Chun, Sungkyu; Jang, Giho; Jung, Hyosook; Kang, Seung Seok; Park, Seongbin.

In: Advanced Science Letters, Vol. 22, No. 11, 01.11.2016, p. 3279-3283.

Research output: Contribution to journalArticle

Chun, Sungkyu ; Jang, Giho ; Jung, Hyosook ; Kang, Seung Seok ; Park, Seongbin. / Adaptive hypermedia services using semantic web reasoning. In: Advanced Science Letters. 2016 ; Vol. 22, No. 11. pp. 3279-3283.
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