Enhancing categorization of learning resources in the DAtaset of joint educational entities
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Lombardi, Matteo
Marani, Alessandro
Taibi, Davide
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Nadeschda Nikitina, Dezhao Song, Achille Fokoue, Peter Haase
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Vienna, Austria
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Abstract
The DAtaset of Joint Educational Entities (DAJEE) is a repository which hosts more than 20,000 educational resources crawled from the MOOC platform Coursera. The resources are divided per category according to the MOOC categorization on Coursera, which is, however, very shallow. This contribution focuses on a more meaningful categorization of the resources in DAJEE, tailored to their content. To achieve such goal, our approach enriches the resources in DAJEE with semantic entities by applying state-of-the-art semantic techniques. The result is a significant improvement of the categorization of the resources in DAJEE than the previous version.
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Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017)
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© The Author(s) 2017. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the author(s).
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Educational Technology and Computing