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Using Ontology Engineering to Design an Artificial Intelligence Course

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Smart Education and e-Learning 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 144))

Abstract

The paper describes an ontological approach to the development of an adaptive artificial intelligence educational course. It discusses structural, methodological, and content modifications, and presents visual models of the course.

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Acknowledgements

The research is supported by the Russian Foundation of Basic Research grant 17-07-00228 “MEthodology and TEchnology of Ontology development via integRation of heterogeneous data sources (METEOR)”.

Author information

Authors and Affiliations

  1. Graduate School of Management, St. Petersburg State University, St. Petersburg, Russia

    Tatiana Albertovna Gavrilova & Liudmila Kokoulina

Authors
  1. Tatiana Albertovna Gavrilova
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  2. Liudmila Kokoulina
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Corresponding author

Correspondence to Tatiana Albertovna Gavrilova .

Editor information

Editors and Affiliations

  1. Bradley University, Peoria, IL, USA

    Vladimir L. Uskov

  2. Bournemouth University and KES International Research, Shoreham-by-sea, UK

    Robert J. Howlett

  3. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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© 2019 Springer Nature Singapore Pte Ltd.

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Gavrilova, T.A., Kokoulina, L. (2019). Using Ontology Engineering to Design an Artificial Intelligence Course. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2019. Smart Innovation, Systems and Technologies, vol 144. Springer, Singapore. https://doi.org/10.1007/978-981-13-8260-4_19

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