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

Autor:	Halfeld Ferrari Alves, Mirian, Hara, Carmem S., Kozievitch, Nádia P., Uber, Flavio R.
Přispěvatelé:	Laboratoire d'Informatique Fondamentale d'Orléans (LIFO), Ecole Nationale Supérieure d'Ingénieurs de Bourges-Université d'Orléans (UO), Universidade Federal do Parana [Curitiba] (UFPR), Universidade Federal do Paraná (UFPR), Universidade Tecnológica Federal do Paraná [Curitiba] (UTFPR), Universidade Estadual de Maringá [Maringá] (UEM), Halfeld Ferrari, Mirian
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB] ComputingMilieux_MISCELLANEOUS
Zdroj:	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. 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
Popis:	International audience
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f6f5990b8381b999303f18e336d8544c https://hal.archives-ouvertes.fr/hal-01877614 Zobrazit plný text záznamu