Semantic Learning Space: An Infrastructure for Context-Aware Ubiquitous Learning

Authors:
Zhiwen Yu;Xingshe Zhou;Yuichi Nakamura
Affiliations:
Academic Center for Computing and Media Studies, Kyoto University, Japan;School of Computer Science, Northwestern Polytechnical University, P.R. China;Academic Center for Computing and Media Studies, Kyoto University, Japan
Venue:
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Year:
2008

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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.