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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.
Users can then forward engineer the data definition language required to instantiate the schema for a range of database-management systems. The software includes features to graphically modify the model, including dialog boxes for specifying the number of entity–relationships , database constraints , indexes , and data uniqueness. [ 2 ]
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.
In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessary routines (mappings) are written to (indirectly) transform/translate each and every source schema to each and every target schema by using the interchange format as an intermediate step.
The "example" entry allows you to display an example of an entry that a person might make for this variable, written exactly as a person might type it, character-for-character; if the type of entry has already been set with the "type" parameter (see below), then the example should reflect this (i.e., if the type has been set to "wiki-page-name ...
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
Subset Schema: a NIEM-conformant schema, containing only the parts of the reference schemas needed to support a particular exchange. Support schemas: NIEM includes three special schemas, appinfo, structures and proxy, for annotating and structuring NIEM-conformant schemas.