Ontology-based Domain Diversity Profiling of User Comments

Abolkasim, E, Lau, L orcid.org/0000-0003-1062-9059, Mitrovic, A et al. (1 more author) (2018) Ontology-based Domain Diversity Profiling of User Comments. In: Lecture Notes in Computer Science 10948. 19th International Conference, AIED 2018 – International Conference on Artificial Intelligence in Education, 27-30 Jun 2018, London. Springer Nature , pp. 3-8. ISBN 9783319938455

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Copyright, Publisher and Additional Information: © Springer International Publishing AG, part of Springer Nature 2018. This is an author produced version of a paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final authenticated publication is available online at https://doi.org/10.1007/978-3-319-93846-2_1
Keywords: diversity analytics, ontology, semantic techniques, video-based learning, active video watching, soft skills learning
Dates:
  • Accepted: 13 April 2018
  • Published: 20 June 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European Union257831
Depositing User: Symplectic Publications
Date Deposited: 27 Jun 2018 12:20
Last Modified: 25 Jul 2018 14:55
Status: Published
Publisher: Springer Nature
Identification Number: https://doi.org/10.1007/978-3-319-93846-2_1

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