Extending hypertext for learning: an investigation of access and guidance tools
Proceedings of the fifth conference of the British Computer Society, Human-Computer Interaction Specialist Group on People and computers V
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Automated generation of agent behaviour from formal models of interaction
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Presenting tailored resource descriptions: will XSLT do the job?
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Generating User-Adapted Hypermedia from Discourse Plans
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
A NLG-Based Presentation Method for Supporting KDD End-Users
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
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We present the first results of a research aimed at generating user-adapted image descriptions from annotated knowledge sources. This system employs a User Model and several knowledge sources to select the image attributes to include in the description and the level of detail. Both 'individual' and 'comparative-descriptions' may be generated, by taking an appropriate 'reference' image according to the context and to an ontology of concepts in the domain to which the image refers; the comparison strategy is suited to the User background and to the interaction history. All data employed in the generation of these descriptions (the image, the discourse) are annotated by a XML-like language. Results obtained in the description of radiological images are presented, and the advantage of annotating knowledge sources are discussed.