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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 ...
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.
The process of checking to see if a XML document conforms to a schema is called validation, which is separate from XML's core concept of syntactic well-formedness.All XML documents must be well-formed, but it is not required that a document be valid unless the XML parser is "validating", in which case the document is also checked for conformance with its associated schema.
If a web server responds with Cache-Control: no-cache then a web browser or other caching system (intermediate proxies) must not use the response to satisfy subsequent requests without first checking with the originating server (this process is called validation). This header field is part of HTTP version 1.1, and is ignored by some caches and ...
CouchDB stores data as "documents", as one or more field/value pairs expressed as JSON. Field values can be simple things like strings, numbers, or dates; but ordered lists and associative arrays can also be used. Every document in a CouchDB database has a unique id and there is no required document schema. Eventual Consistency
Template data's central structure is encoded in JSON format, and the schema is fairly simple. The first thing to do is to type out a pair of <templatedata> tags directly on the template page itself inside <noinclude>...</noinclude> tags, or anywhere on the template's documentation sub-page if it has one, like so:
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.
The 2013 version then added new XML validation tools. [15] The program also has support for XBRL , in order to manage and view XBRL data. [ 16 ] Version 2014 includes support for XQuery Update Facility, with recent updates adding support for JSON Schema and Apache Avro.