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.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chen, Y., et al.: A Mobile Scaffolding-Aid-Based Bird-Watching Learning System. In: The 1st IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2002), pp. 15–22 (2002)
Schmidt, A., Winterhalter, C.: User Context Aware Delivery of E-Learning Material: Approach and Architecture. Journal of Universal Computer Science 10(1), 28–36 (2004)
Wolf, C.: iWeaver: Towards ‘Learning Style’-based e-Learning in Computer Science Education. In: The 5th Australian Computing Education Conference (ACE 2003), Adelaide, Australia, pp. 273–279 (2003)
Sakamura, K., Koshizuka, N.: Ubiquitous Computing Technologies for Ubiquitous Learning. In: WMTE 2005, Tokushima, Japan, pp. 11–20 (2005)
Ogata, H., Yano, Y.: Context-Aware Support for Computer-Supported Ubiquitous Learning. In: The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2004), Taoyuan, Taiwan, pp. 27–34 (2004)
Paraskakis, I.: Ambient Learning: a new paradigm for e-learning. In: The 3rd International Conference on Multimedia and Information & Communication Technologies in Education (m-ICTE2005), Spain, pp. 26–30 (2005)
Nabeth, T., Razmerita, L., Angehrn, A., Roda, C.: InCA: a Cognitive Multi-Agents Architecture for Designing Intelligent & Adaptive Learning Systems. Computer Science and Information Systems 2(2), 99–114 (2005)
Stojanovic, L., Staab, S., Studer, R.: eLearning based on the Semantic Web. In: Proceedings of the World Conference on the WWW and Internet (WebNet 2001), Orlando, Florida, USA (2001)
Tane, J., Schmitz, C., Stumme, G.: Semantic Resource Management for the Web: An E-Learning Application. In: The 13th International World Wide Web Conference on Alternate Track Papers and Posters, New York, USA, pp. 1–10 (2004)
Simon, B., Mikls, Z., Nejdl, W., Sintek, M., Salvachua, J.: Smart Space for Learning: A Mediation Infrastructure for Learning Services. In: The 12th International Conference on World Wide Web, Budapest, Hungary (2003)
Huang, W., Webster, D., Wood, D., Ishaya, T.: An intelligent semantic e-learning framework using context-aware Semantic Web technologies. British Journal of Educational Technology 37(3), 351–373 (2006)
Gruber, T.: A Translation Approach to Portable Ontology Specification. Knowledge Acquisition 5(2), 199–220 (1993)
McGuinness, D.L., Harmelen, F.: OWL Web Ontology Language Overview. W3C Recommendation (2004)
Carroll, J., et al.: Jena: Implementing the Semantic Web Recommendations. In: WWW 2004, New York, pp. 74–83 (2004)
Sakai, http://sakaiproject.org/
Open Service Interface Definition, http://www.okiproject.org/
W3C SKOS Mapping, http://www.w3.org/TR/swbp-skos-core-guide/
Miller, L., Seaborne, A., Reggiori, A.: Three Implementations of SquishQL, a SimpleRDF Query Language. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 423–435. Springer, Heidelberg (2002)
Yu, Z., et al.: Ontology-Based Semantic Recommendation for Context-Aware E-Learning. In: UIC 2007, Hong Kong, China, pp. 898–907 (2007)
Yu, Z., et al.: Fuzzy Recommendation towards QoS-Aware Pervasive Learning. In: AINA 2007, Niagara Falls, Canada, pp. 846–851 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-69293-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69292-8
Online ISBN: 978-3-540-69293-5
eBook Packages: Computer ScienceComputer Science (R0)