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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 ...
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]
A SHACL validation engine takes as input a graph to be validated (called data graph) and a graph containing SHACL shapes declarations (called shapes graph) and produces a validation report, also expressed as a graph. All these graphs can be represented in any Resource Description Framework (RDF) serialization formats including JSON-LD or Turtle.
The committee announced [50] the first public review of the OASIS Business Document Naming and Design Rules Version 1.1 [51] proposed OASIS Standard with new rules for creating JSON validation artefacts for JSON documents, complete with the OASIS Committee Note [52] of all UBL 2.1 document types as JSON schemas and all UBL 2.1 example documents ...
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 ...
Codelist Schemas: a NIEM-conformant schema which provides a list of acceptable values that a data element will be constrained to. The only mandatory schemas for validation are the NIEM reference schemas or a correct subset, however the IEPD specification requires that an IEPD include an exchange schema (along with the reference schemas or ...
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.
However, many technical developers prefer to work with JSON, and to define the structure of JSON data for validation, documentation, and interaction control, JSON Schema [broken anchor] was developed by the Internet Engineering Task Force (IETF).