JS4Geo: a canonical JSON Schema for geographic data suitable to NoSQL databases

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...

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Vydáno v:GeoInformatica Ročník 24; číslo 4; s. 987 - 1019
Hlavní autoři: Frozza, Angelo A., Mello, Ronaldo dos S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.10.2020
Springer
Témata:
Big data
Case studies
Computer Science
Data Structures and Information Theory
Earth and Environmental Science
Geographic information systems
Geographical Information Systems/Cartography
Geography
Geospatial data
Information management
Information Storage and Retrieval
Multimedia Information Systems
Geographic data
JSON
NoSQL
JSON Schema
GeoJSON
JS4Geo
ISSN:1384-6175, 1573-7624
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Shrnutí: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.
ISSN:1384-6175
1573-7624
DOI:10.1007/s10707-020-00415-w