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JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [29] JSON Schema is based on the concepts from XML Schema (XSD) but is JSON-based. As in XSD, the same ...
^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9] ^ Means that generic tools/libraries know how to encode, decode, and dereference a reference to another piece of data in the same document. A tool may require the IDL file, but no more ...
JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as ...
Schema.org is an initiative launched on June 2, 2011, by Bing, Google and Yahoo! [ 3 ] [ 4 ] [ 5 ] (operators of the world's largest search engines at that time) [ 6 ] to create and support a common set of schemas for structured data markup on web pages.
It makes it possible to read and write XML data using a programming language class library (e.g. C++, C#, Java), specifically created for a given XML data format. [1] Whilst it is possible to manually write a computer program to achieve this, XML data binding tools generate the source code to perform these tasks.
In Mac OS X 10.7, support for reading and writing files in JSON format was introduced. JSON and property lists are not fully compatible with each other, though. For example, property lists have native date and data types, which the JSON format does not support. Conversely, JSON permits null values while property lists do not support explicit nulls.
JSON-LD is designed around the concept of a "context" to provide additional mappings from JSON to an RDF model. The context links object properties in a JSON document to concepts in an ontology. In order to map the JSON-LD syntax to RDF, JSON-LD allows values to be coerced to a specified type or to be tagged with a language.
As a superset of JSON, Ion includes the following data types null: An empty value; bool: Boolean values; string: Unicode text literals; list: Ordered heterogeneous collection of Ion values; struct: Unordered collection of key/value pairs; The nebulous JSON 'number' type is strictly defined in Ion to be one of int: Signed integers of arbitrary size