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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...

  3. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    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 ...

  4. Data Format Description Language - Wikipedia

    en.wikipedia.org/wiki/Data_Format_Description...

    A subset of XML Schema is used, enough to enable the modeling of non-XML data. The motivations for this approach are to avoid inventing a completely new schema language, and to make it easy to convert general text and binary data, via a DFDL information set, into a corresponding XML document.

  5. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  6. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    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 XML. jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data.

  7. XMLSpy - Wikipedia

    en.wikipedia.org/wiki/XMLSpy

    XMLSpy 2010 added additional support for WSDL 2.0, as well as JSON editing. [12] In 2011 the program added additional charting and graphing support, in addition to enhancing other program capabilities. [13] In 2012 the new version added support for HTML5 and EPUB. [14] The 2013 version then added new XML validation tools. [15]

  8. Schema.org - Wikipedia

    en.wikipedia.org/wiki/Schema.org

    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.

  9. Semi-structured data - Wikipedia

    en.wikipedia.org/wiki/Semi-structured_data

    JSON or JavaScript Object Notation, is an open standard format that uses human-readable text to transmit data objects. JSON has been popularized by web services developed utilizing REST principles. Databases such as MongoDB and Couchbase store data natively in JSON format, leveraging the pros of semi-structured data architecture.