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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.
JSON Pointer (RFC 6901), or alternately, JSONPath, JPath, JSPON, json:select(); and JSON-LD: Partial (JSON Schema Proposal, ASN.1 with JER, Kwalify Archived 2021-08-12 at the Wayback Machine, Rx, JSON-LD: Partial (Clarinet, JSONQuery / RQL, JSONPath), JSON-LD: No MessagePack: Sadayuki Furuhashi JSON (loosely) No MessagePack format specification ...
The CP/LD format defines a flexible, extensible, machine readable format that links HTML5 documents with content to JSON-LD graphs for the data and semantics. [1]The Linked Document part of the standard outlines the minimal characteristics of documents, whereas the Content Profile part describes how to extend and refine rules for specific use cases.
JSON-LD, a method of encoding linked data using JSON [67] [68] JSON-RPC, a remote procedure call protocol encoded in JSON [69] JsonML, a lightweight markup language used to map between XML and JSON [70] [71] Smile (data interchange format) [72] [73] UBJSON, a binary computer data interchange format imitating JSON, but requiring fewer bytes of ...
Support for JSON and plain-text transformation was added in later updates to the XSLT 1.0 specification. As of August 2022, the most recent stable version of the language is XSLT 3.0, which achieved Recommendation status in June 2017. XSLT 3.0 implementations support Java, .NET, C/C++, Python, PHP and NodeJS.
JSON-LD, [31] a JSON-based serialization. N3 or Notation3, a non-standard serialization that is very similar to Turtle, but has some additional features, such as the ability to define inference rules. RDF/XML, [32] an XML-based syntax that was the first standard format for serializing RDF.
A SHACL validation engine takes as input a graph to be validated (called data graph) and a graph containing SHACL shapes declarations (called shapes graph) and produces a validation report, also expressed as a graph. All these graphs can be represented in any Resource Description Framework (RDF) serialization formats including JSON-LD or Turtle.
JSON-LD opens the opportunity of context extension and enrich the Thing Description instances with additional (e.g., domain-specific) semantics such as from Schema.org. This also supports the extraction and the understanding of relevant information such as in discovery scenarios in IoT applications [ 8 ]