Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

JSON-LD

JSON-LD (JavaScript Object Notation for Linked Data) is a method of encoding linked data using JSON and of serializing data similarly to traditional JSON. It is meant to be simple to create by modifying JSON documents. JSON-LD is a World Wide Web Consortium Recommendation initially developed by the JSON for Linking Data Community Group, transferred to…

Applications, Measurement & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around JSON-LD. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Container for
Linked Data
Extended from
JSON
Internet media type
application/ld+json
Open format?
Yes
Standard
JSON-LD 1.1 / JSON-LD 1.1 API
Type of format
Semantic Web

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Design

  • Ontology Ontology (information science)
  • RDF Resource Description Framework
  • HTTP Hypertext Transfer Protocol

Example

Use

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

JSON-LD

Nodes22
Edges21
Triples25
Avg. degree1.91
Density0.090909
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

JSON-LD

Top relations

related to Use · 11
JSON-LD → Activity Streams, ActivityPub, Additionally, Google Knowledge Graph, Internet, IoT, It, Schema, The, Thing Description, Things
related to Design · 4
JSON-LD → HTTP Link, In, JSON, RDF
Container for · 1
JSON-LD → Linked Data
Extended from · 1
JSON-LD → JSON
Filename extension · 1
JSON-LD → .mw-parser-output .monospaced{font-family:monospace,monospace} .jsonld
Internet media type · 1
JSON-LD → application/ld+json
Open format? · 1
JSON-LD → Yes
Standard · 1
JSON-LD → JSON-LD 1.1 / JSON-LD 1.1 API
Type of format · 1
JSON-LD → Semantic Web
is a · 1
JSON-LD → World Wide Web Consortium Recommendation initially developed by the JSON for Linking Data Community Group

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

json rdf data type context document information used documents example also linked web based allows specified person foaf object encoding

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
JSON-LDContainer forLinked Data1.00infobox
JSON-LDExtended fromJSON1.00infobox
JSON-LDFilename extension.mw-parser-output .monospaced{font-family:monospace,monospace} .jsonld1.00infobox
JSON-LDInternet media typeapplication/ld+json1.00infobox
JSON-LDOpen format?Yes1.00infobox
JSON-LDStandardJSON-LD 1.1 / JSON-LD 1.1 API1.00infobox
JSON-LDType of formatSemantic Web1.00infobox
JSON-LDis aWorld Wide Web Consortium Recommendation initially developed by the JSON for Linking Data Community Group0.90text
biomedical informaticsinstance ofIt has also been used for applications0.80text
and representing provenance informationinstance ofIt has also been used for applications0.80text
JSON-LDrelated to DesignJSON0.60section
JSON-LDrelated to DesignRDF0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.