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Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata

Autor(es) y otros:
Turki, H.; Taieb, M. A. H.; Shafee, T.; Lubiana, T.; Jemielniak, D.; Aouicha, M. B.; Labra Gayo, José EmilioAutoridad Uniovi; Youngstrom, E. A.; Banat, M.; Das, D.; Mietchen, D.; Haller, A.
Fecha de publicación:
2022
Versión del editor:
http://dx.doi.org/10.3233/SW-210444
Citación:
Semantic Web, 13(2), p. 233-264 (2022); doi:10.3233/SW-210444
Descripción física:
p. 233-264
URI:
http://hdl.handle.net/10651/65220
ISSN:
1570-0844
DOI:
10.3233/SW-210444
Patrocinado por:

The work done by Houcemeddine Turki, Mohamed Ali Hadj Taieb and Mohamed Ben Aouicha was supported by the Ministry of Higher Education and Scientific Research in Tunisia (MoHESR) in the framework of Federated Research Project PRFCOV19-D1-P1. The work done by Jose Emilio Labra Gayo was partially funded by the Spanish Ministry of Economy and Competitiveness (Society challenges: TIN2017-88877-R). The work done by Daniel Mietchen was supported in part by the Alfred P. Sloan Foundation under grant number G-2019-11458. The work done by Dariusz Jemielniak was funded by Polish National Science Center grant no 2019/35/B/HS6/01056.

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© 2022 – The authors. Published by IOS Press.
Este ítem está sujeto a una licencia Creative Commons