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Paquette, Gilbert et Marino, Olga (2012). A multi-actor ontology-based assistance model: A contribution to the adaptive Semantic Web. Dans Graf, Sabine; Lin, Fuhua; Kinshuk, et McGreal, Rory (dir.), Intelligent and adaptive learning systems: Technology-enchanced support for learners and teachers (p. 213-228). Hershey, PA : Information Science Reference. ISBN 978-1-60960-842-2
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- Assistance IGI Books - Final.pdf
Contenu du fichier : Version de l'éditeur Accès restreint |
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Catégorie de document : | Chapitres de livres |
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Évaluation par un comité de lecture : | Oui |
Étape de publication : | Publié |
Résumé : | Adaptivity plays a central role for Web-based assistance to work and training processes. In the last decade, learning and work systems have evolved, from single-user sequential scenarios to multi-actors rich learn-flows and workflows. Within the Semantic Web, resources, activities, and actors are referenced semantically using ontologies, while the user model focuses more on the user’s cognitive state than on simple interface adaptation. The assistance model elaborated in this chapter is composed of a hierarchy of rule-based agents that interacts with semantic annotation of scenario components such as actors, activities, and resources. Ontology-based assistance in multi-actor scenarios is a contribution towards the adaptive semantic Web. |
Déposant: | Paquette, Gilbert |
Responsable : | Gilbert Paquette |
Dépôt : | 03 nov. 2014 22:51 |
Dernière modification : | 29 oct. 2019 15:44 |
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