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Semantic-Based Thematic Search for Personalized E-Learning

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4018))

Abstract

This paper describes one solution to the problem of how to collect, organize, and select Web learning resources into a coherent, focused organization for instruction to address learners’ immediate and focused learning needs. By exploiting the semantic relationships that characterize learning resources and learner profile, the proposed semantic-based thematic approach supports both semantic querying and conceptual navigation of learning resources pertaining to specific topics. A system has been developed and deployed within an academic setting, enabling learners to organize, search, and share the learning resources in a flexible and personalized manner.

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© 2006 Springer-Verlag Berlin Heidelberg

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Li, Y., Huang, R. (2006). Semantic-Based Thematic Search for Personalized E-Learning. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_49

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  • DOI: https://doi.org/10.1007/11768012_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34696-8

  • Online ISBN: 978-3-540-34697-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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