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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 ...
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 ...
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.
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.
Linked Data Notifications (LDN) [3] is a W3C Recommendation that describes a communications protocol based on HTTP, URI, and RDF on how servers (receivers) can receive messages pushed to them by applications (senders), as well as how other applications (consumers) may retrieve those messages.
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 ]