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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:
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 ...
This template is used on approximately 569,000 pages, or roughly 1% of all pages. To avoid major disruption and server load, any changes should be tested in the template's /sandbox or /testcases subpages, or in your own user subpage.
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 ...
JSON-RPC (JavaScript Object Notation-Remote Procedure Call) is a remote procedure call (RPC) protocol encoded in JSON. It is similar to the XML-RPC protocol, defining only a few data types and commands.
Schema.org is a reference website that publishes documentation and guidelines for using structured data mark-up on web-pages (called microdata).Its main objective is to standardize HTML tags to be used by webmasters for creating rich results (displayed as visual data or infographic tables on search engine results) about a certain topic of interest. [2]
A DB schema based on JSONB always has fewer tables: one may nest attribute–value pairs in JSONB type fields of the Entity table. That makes the DB schema easy to comprehend and SQL queries concise. [31] The programming code to manipulate the database objects on the abstraction layer turns out much shorter. [32]
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects. For example, in the ...