Abstract
In order to facilitate the development and proliferation of context-aware ubiquitous learning services, there is a need for architectural support in the user context processing and learning content management. In this paper, we propose a context-aware ubiquitous learning infrastructure called Semantic Learning Space. It leverages the Semantic Web technologies to support explicit knowledge representation, flexible context reasoning, interoperable content integration, expressive knowledge query, and adaptive content recommendation. The architectural design and enabling technologies are described in detail. Several applications and experiments are presented to illustrate and evaluate the key features of the infrastructure.
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Yu, Z., Zhou, X., Nakamura, Y. (2008). Semantic Learning Space: An Infrastructure for Context-Aware Ubiquitous Learning. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds) Ubiquitous Intelligence and Computing. UIC 2008. Lecture Notes in Computer Science, vol 5061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69293-5_12
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DOI: https://doi.org/10.1007/978-3-540-69293-5_12
Publisher Name: Springer, Berlin, Heidelberg
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