Semantic learning space: An infrastructure for context-aware ubiquitous learning

Zhiwen Yu, Xingshe Zhou, Yuichi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings
Pages131-142
Number of pages12
DOIs
StatePublished - 2008
Event5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008 - Oslo, Norway
Duration: 23 Jun 200825 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5061 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008
Country/TerritoryNorway
CityOslo
Period23/06/0825/06/08

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