@inproceedings{1df7a1e5766e479eaa56fa8262e48ee7,
title = "Interactive ontology-based user knowledge acquisition : a case study",
abstract = "On the Semantic Web personalization technologies are needed to deal with user diversity. Our research aims at maximising the automation of acquisition of user knowledge, thus providing an effective solution for multi-faceted user modeling. This paper presents an approach to eliciting a user{\textquoteright}s conceptualization by engaging in an ontology-driven dialog. This is implemented as an OWL-based domainindependent diagnostic agent. We show the deployment of the agent in a use case for personalized management of learning content, which has been evaluated in three studies with users. Currently, the system is being deployed in a cultural heritage domain for personalized recommendation of museum resources.",
author = "L.M. Aroyo and R.O. Denaux and V. Dimitrova and M. Pye",
year = "2006",
doi = "10.1007/11762256\_41",
language = "English",
isbn = "3-540-34544-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "560--574",
editor = "Y. Sure and J. Domingue",
booktitle = "The Semantic Web : Research and Applications (Proceedings 3rd European Semantic Web Conference, ESWC 2006, Budva, Montenegro, June 11-14, 2006)",
address = "Germany",
}