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This paper considers the problem of the definition of adaptation strategies at a high level. It presents two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. An experiment in the e-learning domain has been conducted with a group of volunteers...
Access to relevant information adapted to the needs and context of the user is a main challenge in the Internet world. Recent studies have dynamically enhanced the user query with the related user's preferences, which are stored in user's profile for providing personalized results; however, not all user preferences are relevant in all situations. As far as we know, these studies don't take into account...
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching grammar defined by the user. The ontology describes the concepts/classes and the relations between these concepts/classes. The learning objects we want to obtain from the web pages are instances of the ontology. The grammar describes rules for...
This paper deals with the design of multimodal information systems in ambient intelligence. Its agent architecture is based on KUP, an alternative to traditional software architecture models for human-computer interaction. The KUP model is accompanied by an algorithm for choosing and instantiating interaction modalities. The model and the algorithm have been implemented in a platform called PRIAM,...
Metadata are required for finding, exchanging, and managing learning objects. But, their semantics is not clear. Furthermore, the IEEE LOM (learning object metadata) is an IEEE standard since July 2002 but, even if it is widely used, it is not the only one standard used to describe learning objects. The use of ontologies is a key step forward for describing the semantics of information on the Web...
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the extraction patterns defined in a configuration file, and using a pre-defined ontology, tries also to discover partially matched objects and to assign them proper tags conformed to an XML schema
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