ShExML: improving the usability of heterogeneous data mapping languages for first-time users
Publication date:
2020
Publisher version:
Citación:
Peerj Computer Science, 6 (2020); doi:10.7717/peerj-cs.318
Descripción física:
p. e318-
ISSN:
DOI:
Patrocinado por:
Ministry of Economy, Industry and Competitiveness [TIN2017-88877-R]; French National Research Agency (ANR) [DataCert ANR-15-CE39-0009]; CPER Nord-Pas de Calais/FEDER DATA Advanced data sciences 2015~2020; Principality of Asturias (Spain) [BP17-29]
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