Abstract
Most existing Learning Resource Management Systems (LRMS) support only title-based searches and are limited in functionality when compared to existing search engines. In this paper, we present the design of an ontology matching based Learning Resource Retrieval System (SemLR) that allows searching for learning resources using the query ontology and learning resource ontology, which supports semantic based content searches of relevant resources. First, we propose the learning resources ontology used in SemLR system. Second, a general and extensible framework for searching similar learning resources is provided. Based on the framework, we develop our efficient learning resource searching system by effectively match-making between learners and learning resources. Finally, the ontology matching approach used in the system is introduced. The results show the effectiveness, efficiency, and scalability of the proposed system.
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Li, X., Zhang, J., Huang, T. (2007). A Standardized Learning Resources Retrieval System Based on Ontology Matching. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_41
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DOI: https://doi.org/10.1007/978-3-540-73011-8_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73010-1
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