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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]
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]
jq is a very high-level lexically scoped functional programming language in which every JSON value is a constant. jq supports backtracking and managing indefinitely long streams of JSON data. It is related to the Icon and Haskell programming languages. The language supports a namespace-based module system and has some support for closures.
It has two different types of schema languages: one for human editing (Avro IDL) and another which is more machine-readable based on JSON. [ 3 ] It is similar to Thrift and Protocol Buffers , but does not require running a code-generation program when a schema changes (unless desired for statically-typed languages).
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 ...
AI Vector Search [13] (includes new Vector data type, Vector indexes, and Vector SQL operators/functions), JSON Relational Duality, [14] JSON Schema Validation, Transactional Microservices Support, OKafka, Operational Property Graphs, Support for SQL/PGQ, Schema Privileges, Developer Role, In-database SQL Firewall, TLS 1.3 Support, Integration ...
Example of a Thing Description object. Below is an example TD serialized in JSON-LD format, which has one property, one action and one event. The IoT device represented by this TD uses the HTTP protocol but a TD can represent any protocol with a URI scheme, as shown in the example below.