@article{
 title = {Ontological representation models for adaptive hypermedia construction},
 type = {article},
 year = {2011},
 keywords = {Ontologies & Semantic Web},
 pages = {199-205},
 volume = {6},
 id = {59120236-56f9-3849-81b6-c99d7e87c48f},
 created = {2018-04-03T21:38:41.953Z},
 file_attached = {false},
 profile_id = {3f3cebd9-2c9e-33e2-9759-3b3c3deedc23},
 last_modified = {2020-05-30T20:55:33.241Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Behaz2011},
 private_publication = {false},
 abstract = {The objective of the works presented in this article is to study how we can integrate models from cognitive theories and ontologies for the construction of adaptive hypermedia. The goal is to provide the system capacity enabling it to carry out reasoning on descriptions obtained in order to automatically adapt resources and services offered to a learner based on preferences learning styles. We present ontology of domain. A learner ontology based on the theory of psychological types of MBTI (Myers-Briggs Type Indicator). Finally, we present a model of adaptation that generates personalized content by applying rules of structure and presentation. © 2011 Praise Worthy Prize S.r.l.-All rights reserved.},
 bibtype = {article},
 author = {Behaz, Amel and Djoudi, Mahieddine},
 journal = {International Review on Computers and Software},
 number = {2}
}

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