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JS4Geo: a canonical JSON Schema for geographic data suitable to NoSQL databases / Angeol A. Frozza in Geoinformatica, vol 24 n° 4 (October 2020)  

Public [article]  inGeoinformatica > vol 24 n° 4 (October 2020) . - pp 987 - 1019 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 données Résumé : (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 [article]

Using NoSQL databases in the 3D cadastre domain / Nenad Višnjevac in Geodetski vestnik, vol 61 n° 3 (September - November 2017)  

Public [article]  inGeodetski vestnik > vol 61 n° 3 (September - November 2017) . - pp 412 - 426 Titre : Using NoSQL databases in the 3D cadastre domain Type de document : Article/Communication Auteurs : Nenad Višnjevac, Auteur ; Rajica Mihajlović, Auteur ; Mladen Šoškić, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 412 - 426 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre numérique [Termes IGN] cadastre [Termes IGN] cadastre 3D [Termes IGN] MongoDB [Termes IGN] NoSQL [Termes IGN] système de gestion de base de données [Termes IGN] système de gestion de bases de données relationnelles [Termes IGN] visualisation Résumé : (Auteur) The 3D cadastre concept brings data models, which are more complex than traditional 2D cadastral data models and could be followed by a large amount of data. The 3D cadastral data should be stored in database management systems, since the cadastral data integrity and consistency have to be satisfied. Relational database management system requires a tabular structure where data are stored within predefined columns and data types, and this could be uncomfortable for 3D cadastre until relational provides full 3D support. This study examines the possibility of using NoSQL databases in the 3D cadastre domain. NoSQL database stores unstructured data, which means that it is not required to define in advance what data types and categories will be used. From the 3D cadastre point of view, the NoSQL approach provides flexibility in data types and allows easier implementation of the 3D cadastral models. The implementation is conducted by using MongoDB and 3D Cadastral Data Model, where 3D cadastral data, including both alphanumerical and geometry part of data, are prepared for importing and then stored, managed, queried, and updated within NoSQL database. Furthermore, data stored in MongoDB are visualized and queried inside a web browser by using Cesium library. Numéro de notice : A2017-606 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.15292//geodetski-vestnik.2017.03.41 En ligne : http://dx.doi.org/10.15292//geodetski-vestnik.2017.03.412-426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86916 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
139-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible