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Discovering Hierarchical Relationships in Educational Content

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Advances in Web-Based Learning - ICWL 2012 (ICWL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7558))

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Abstract

Adaptive educational hypermedia necessitate semantic description of a domain, which is used by an adaptive engine to perform adaptation to a learner. The bottleneck of adaptive hypermedia is manual authoring of such semantic description performed by a domain expert mainly due to the amount of descriptions to be created. In this paper we present a method for automated discovery of is-a relationship, one of the most important relationships of conceptual structures. The method leverages specifics of educational content. The evaluation shows reasonable accuracy of discovered relationships reflecting in reduced domain expert’s efforts in domain model creation.

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Author information

Authors and Affiliations

  1. Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkovičova 3, 842 16, Bratislava, Slovakia

    Marián Šimko & Mária Bieliková

Authors
  1. Marián Šimko
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  2. Mária Bieliková
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Editor information

Editors and Affiliations

  1. Software Engineering Department, University of Craiova, A. I. Cuza 13, 200585, Craiova, Romania

    Elvira Popescu

  2. Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Qing Li

  3. RWTH Aachen University, Informatik 5, Ahornstr. 55, 52056, Aachen, Germany

    Ralf Klamma

  4. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Howard Leung

  5. CELSTEC, Valkenburgerweg 177, Heerlen, The Netherlands

    Marcus Specht

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© 2012 Springer-Verlag Berlin Heidelberg

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Šimko, M., Bieliková, M. (2012). Discovering Hierarchical Relationships in Educational Content. In: Popescu, E., Li, Q., Klamma, R., Leung, H., Specht, M. (eds) Advances in Web-Based Learning - ICWL 2012. ICWL 2012. Lecture Notes in Computer Science, vol 7558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33642-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-33642-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33641-6

  • Online ISBN: 978-3-642-33642-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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