The stick-e note architecture: extending the interface beyond the user
Proceedings of the 2nd international conference on Intelligent user interfaces
TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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This study proposes the context model based on multi-agent in learning environment. We show a collaborative model and a scenario among the agents for providing the adaptive learning service in ubiquitous environment. We design the context model based on the learner's learning states by defining domains for the context model. We also describe the examples for reasoning methods of the context model by using TRIPLE language for reasoning and collaborating between library agent and school agent. We explore possibilities of the context model through the presenting. The proposed context model based on multi-agent will be useful to support the adaptive learning service states for learners.