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Semantic e-Learning: Next Generation of e-Learning?

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Next Generation Society. Technological and Legal Issues (e-Democracy 2009)

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Abstract

Semantic e-learning aspires to be the next generation of e-learning, since the understanding of learning materials and knowledge semantics allows their advanced representation, manipulation, sharing, exchange and reuse and ultimately promote efficient online experiences for users. In this context, the paper firstly explores some fundamental Semantic Web technologies and then discusses current and potential applications of these technologies in e-learning domain, namely, Semantic portals, Semantic search, personalization, recommendation systems, social software and Web 2.0 tools. Finally, it highlights future research directions and open issues of the field.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering & Informatics, University of Patras, 26504, Patras, Greece

    Markellos Konstantinos & Markellou Penelope

  2. Department of Business Planning and Information Systems, Technological Educational Institute of Patras, 26334, Patras, Greece

    Koutsonikos Giannis

  3. Department of Mechanical & Water Resources Engineering, Technological Education Institute of Messolonghi, 30200, Messolonghi, Greece

    Liopa-Tsakalidi Aglaia

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  1. Markellos Konstantinos
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  2. Markellou Penelope
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  3. Koutsonikos Giannis
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  4. Liopa-Tsakalidi Aglaia
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Editors and Affiliations

  1. Informatics Laboratory, Agricultural University of Athens, 75, Iera Odos Street, Botanikos, 11855, Athens, Greece

    Alexander B. Sideridis  & Charalampos Z. Patrikakis  & 

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Konstantinos, M., Penelope, M., Giannis, K., Aglaia, LT. (2010). Semantic e-Learning: Next Generation of e-Learning?. In: Sideridis, A.B., Patrikakis, C.Z. (eds) Next Generation Society. Technological and Legal Issues. e-Democracy 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11631-5_27

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  • DOI: https://doi.org/10.1007/978-3-642-11631-5_27

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