Recommending Metadata Contents for Learning Objects Through Linked Data-Reference-Cited by-同舟云学术

Recommending Metadata Contents for Learning Objects Through Linked Data

Published:2021 Issue: Volume: Page:115-126
ISSN:1865-0929
Container-title:Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection
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Author:

Behr André^ORCID,Mendes Armando^ORCID,Trigo Paulo^ORCID,Cascalho José^ORCID,Guerra Hélia^ORCID,Costa Ana^ORCID,Parente Manuela^ORCID,Botelho Andrea^ORCID,Vicari Rosa^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85710-3_10

Reference21 articles.

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2. Behr, A., Primo, T.T., Vicari, R.: Obaa-leme: a learning object metadata content editor supported by application profiles and educational metadata ontologies. In: Anais dos Workshops do Congresso Brasileiro de Informática na Educação, vol. 3, p. 455 (2014)

3. Behr, A.R.: Uma abordagem para promover reuso e processamento de inferências em ontologias de metadados educacionais. Master’s Thesis (2016)

4. Bizer, C., Heath, T., Berners-Lee, T.: Linked data: the story so far. In: Semantic Services, Interoperability and Web Applications: Emerging Concepts, pp. 205–227. IGI global (2011)

5. Daiber, J., Jakob, M., Hokamp, C., Mendes, P.N.: Improving efficiency and accuracy in multilingual entity extraction. In: Proceedings of the 9th International Conference on Semantic Systems (I-Semantics) (2013)

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