Détail de l'auteur
Auteur Angeol A. Frozza |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
JS4Geo: a canonical JSON Schema for geographic data suitable to NoSQL databases / Angeol A. Frozza in Geoinformatica, vol 24 n° 4 (October 2020)
[article]
Titre : JS4Geo: a canonical JSON Schema for geographic data suitable to NoSQL databases Type de document : Article/Communication Auteurs : Angeol A. Frozza, Auteur ; Ronaldo dos S. Mello, Auteur Année de publication : 2020 Article en page(s) : pp 987 - 1019 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] données massives
[Termes IGN] format JSON
[Termes IGN] intégration de données
[Termes IGN] interopérabilité
[Termes IGN] NoSQL
[Termes IGN] système d'information géographique
[Termes IGN] système de gestion de base de donnéesRésumé : (Auteur) The large volume and variety of data produced in the current Big Data era lead companies to seek solutions for the efficient data management. Within this context, NoSQL databases rise as a better alternative to the traditional relational databases, mainly in terms of scalability and availability of data. A usual feature of NoSQL databases is to be schemaless, i.e., they do not impose a schema or have a flexible schema. This is interesting for systems that deal with complex data, such as GIS. However, the lack of a schema becomes a problem when applications need to perform processes such as data validation, data integration, or data interoperability, as there is no pattern for schema representation in NoSQL databases. On the other hand, the JSON language stands out as a standard for representing and exchanging data in document NoSQL databases, and JSON Schema is a schema representation language for JSON documents that it is also leading to become a standard. However, it does not include spatial data types. From this limitation, this paper proposes an extension to JSON Schema, called JS4Geo, that allows the definition of schemas for geographic data. We demonstrate that JS4Geo is able to represent schemas of any NoSQL data model, as well as other standards for geographic data, like GML and KML. We also present a case study that shows how a data integration system can benefit of JS4Geo to define local schemas for geographic datasets and generate an integrated global schema. Numéro de notice : A2020-497 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-020-00415-w Date de publication en ligne : 27/06/2020 En ligne : https://doi.org/10.1007/s10707-020-00415-w Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96118
in Geoinformatica > vol 24 n° 4 (October 2020) . - pp 987 - 1019[article]