Urban Data Consistency in RDF: A Case Study of Curitiba Transportation System

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Communication dans un congrès
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), Rio de Janeiro, Brazil, Aug 27, 2018., 2018, Rio de Janeiro, Brazil. pp.33--40, 2018
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https://hal.archives-ouvertes.fr/hal-01877614
Contributeur : Mirian Halfeld Ferrari <>
Soumis le : jeudi 20 septembre 2018 - 10:08:20
Dernière modification le : vendredi 21 septembre 2018 - 01:17:30

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  • HAL Id : hal-01877614, version 1

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Mirian Halfeld Ferrari Alves, Carmem S. Hara, Nádia P. Kozievitch, Flavio R. Uber. Urban Data Consistency in RDF: A Case Study of Curitiba Transportation System. Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), Rio de Janeiro, Brazil, Aug 27, 2018., 2018, Rio de Janeiro, Brazil. pp.33--40, 2018. 〈hal-01877614〉

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