A Multidimensional Semantic Framework for Adaptive Hypermedia Systems
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1551-1551.
Abstract
This paper introduces a multidimensional semantic framework for adaptive systems. Different planes allow us to represent ontologies of user, her actions, context, device, domain, while the intersection between planes allow us to represent the semantic rules for inferring new user features or adaptation strategies. The adoption of ontology-based framework aims at creating a server for user modeling and adaptation strategy.
Francesca Carmagnola, Federica Cena, Cristina Gena, and Ilaria Torre. 2005. A Multidimensional Semantic Framework for Adaptive Hypermedia Systems. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1551–1551. https://ijcai.org/proceedings/2005/303
Carmagnola, F., Cena, F., Gena, C., & Torre, I. (2005). A Multidimensional Semantic Framework for Adaptive Hypermedia Systems. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1551–1551). IJCAI. https://ijcai.org/proceedings/2005/303
@inproceedings{ijcai2005p303,
title = {A Multidimensional Semantic Framework for Adaptive Hypermedia Systems},
author = {Carmagnola, Francesca and Cena, Federica and Gena, Cristina and Torre, Ilaria},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1551--1551},
year = {2005},
url = {https://ijcai.org/proceedings/2005/303},
}
TY - CPAPER TI - A Multidimensional Semantic Framework for Adaptive Hypermedia Systems AU - Carmagnola, Francesca AU - Cena, Federica AU - Gena, Cristina AU - Torre, Ilaria T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1551 EP - 1551 UR - https://ijcai.org/proceedings/2005/303 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
