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JSON grew out of a need for a real-time server-to-browser session communication protocol without using browser plugins such as Flash or Java applets, the dominant methods used in the early 2000s. [8] Crockford first specified and popularized the JSON format. [1]
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 ]
^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]
When you click the product "Your Account," for example, you can click Edit Account Info at the top of the page to access your account settings. From here, you can make changes. From here, you can make changes.
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 – it can be used to slice and filter and map and transform structured data.
MDK-Editor Monaco Editor (Visual Studio Code) Implementation nestable full parsers pattern-based parser pattern-based parser parsers Syntax highlight Over 110 languages 129 languages: Yes mixed mode: HTML + JavaScript and CSS, PHP, EJS; single mode: JavaScript, Java, JSON, CSS, Python, Ruby, XML, YAML (pluggable)
Concatenated JSON isn't a new format, it's simply a name for streaming multiple JSON objects without any delimiters. The advantage of this format is that it can handle JSON objects that have been formatted with embedded newline characters, e.g., pretty-printed for human readability. For example, these two inputs are both valid and produce the ...
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.