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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 ...
The 5.0 version of the program was released in 2002, adding a XSLT processor, XSLT debugger, a WSDL editor, HTML importer, and a Java as well as C++ generator. The version's XML document editor was redesigned to allow for easier use by businesses. [7] XMLSpy 2006 was given the Platinum Award by SQL Pro Magazine's Editor's choice awards. [8]
Data Schema: For modeling the Thing's data that can be exchanged, the concept of JSON schema [11] is embedded in the Thing Description. Bindings: The binding templates define the specific protocol and serialization method for the properties, actions, and events of the Thing.
For example, PKIX uses such notation in RFC 5912. With such notation (constraints on parameterized types using information object sets), generic ASN.1 tools/libraries can automatically encode/decode/resolve references within a document. ^ The primary format is binary, a json encoder is available. [10]
It was proposed at the 2012 RDF Validation Workshop [3] as a high-level, concise language for RDF validation. The shapes can be defined in a human-friendly compact syntax called ShExC or using any RDF serialization formats like JSON-LD or Turtle. ShEx expressions can be used both to describe RDF and to automatically check the conformance of RDF ...
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.
[4] [5] It was described as being "like sed for JSON data". [6] Support for regular expressions was added in jq version 1.5. A "wrapper" program for jq named yq adds support for YAML, XML and TOML. It was first released in 2017. [7] The Go implementation, gojq, was initially released in 2019. [8] gojq notably extends jq to include support for YAML.
JsonML, the JSON Markup Language is a lightweight markup language used to map between XML (Extensible Markup Language) and JSON (JavaScript Object Notation). It converts an XML document or fragment into a JSON data structure for ease of use within JavaScript environments such as a web browser , allowing manipulation of XML data without the ...