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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.
In 2015, [15] Google began supporting the JSON-LD format, and as of September, 2017 recommended using JSON-LD for structured data whenever possible. [16] [17] Despite the advantages of using Schema.org, adoption remained limited as of 2016. A survey in 2016 of 300 US-based marketing agencies and B2C advertisers across industries showing only 17 ...
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 ...
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, 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 ]
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.
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 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 ]