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How to Convert JSON to RDF Turtle - Step by Step Guide

Step 1

Input Your JSON Data

Start by inputting your JSON data that you want to convert to RDF Turtle format. Whether you're building knowledge graphs, working with linked data, or preparing data for triple stores, you have multiple input options:

•
Paste directly: Copy your JSON data from APIs, databases, or files and paste it into the input editor
•
Upload a file: Click "Upload" to select a .json file from your computer
•
Try the sample: Click "Sample" to load example data and see how the converter works

Example: Sample JSON Input

Here's a sample JSON object representing a person:

{
  "@context": "http://schema.org/",
  "@id": "http://example.org/person/1",
  "@type": "Person",
  "name": "Dr. Yuki Tanaka",
  "email": "[email protected]",
  "affiliation": "MIT",
  "jobTitle": "Research Scientist"
}
Step 2

Automatic Conversion to RDF Turtle

The converter instantly transforms your JSON into RDF triples using Turtle syntax. Powered by N3.js library, the tool automatically:

•
Generates RDF triples: Creates subject-predicate-object statements from your JSON structure
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Handles namespaces: Properly manages prefixes and namespaces for clean, readable Turtle output
•
Validates syntax: Ensures the output is valid RDF Turtle format ready for use in semantic web applications

Example: Converted RDF Turtle Output

The same data, now in RDF Turtle format:

@prefix schema: <http://schema.org/> .

<http://example.org/person/1>
  a schema:Person ;
  schema:name "Dr. Yuki Tanaka" ;
  schema:email "[email protected]" ;
  schema:affiliation "MIT" ;
  schema:jobTitle "Research Scientist" .
Step 3

Customize Base URI and Prefixes

Customize how your RDF data is structured with base URIs and namespace prefixes:

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Set base URI: Define the base URI for your RDF resources (e.g., http://example.org/)
•
Add prefixes: Include common prefixes like schema.org, Dublin Core, FOAF, or custom ontologies
•
Preview output: See your RDF Turtle data formatted and ready for use
Step 4

Export Your RDF Turtle Data

Get your RDF Turtle data ready for knowledge graphs, triple stores, or semantic web applications:

•
Copy to clipboard: One-click copying for quick use in your applications
•
Download as .ttl file: Save as a Turtle file for import into RDF databases or semantic web tools
•
Use in triple stores: Compatible with Apache Jena, RDF4J, Virtuoso, and other RDF platforms

Frequently Asked Questions

What is RDF Turtle format?

RDF Turtle (Terse RDF Triple Language) is a human-readable format for representing RDF data. It's widely used in semantic web applications, knowledge graphs, and linked data projects. Turtle is more compact and readable than RDF/XML while maintaining full RDF expressiveness.

How does JSON-LD differ from regular JSON for RDF?

JSON-LD is JSON with added semantic context (@context, @id, @type) that maps JSON properties to RDF vocabularies. Regular JSON requires interpretation rules for RDF conversion. This tool can handle both - JSON-LD is converted directly, while regular JSON is mapped using customizable base URIs and prefixes.

Can I use this for building knowledge graphs?

Absolutely! This tool is perfect for knowledge graph construction. Convert your JSON data to RDF Turtle, then import it into triple stores like Apache Jena, Virtuoso, or GraphDB. The Turtle format is supported by all major semantic web platforms and knowledge graph databases.

What ontologies and vocabularies are supported?

The converter supports common vocabularies like Schema.org, Dublin Core, FOAF, SKOS, and custom ontologies. You can specify namespaces and prefixes to match your semantic model.

Is this compatible with Jelly-RDF and other streaming formats?

Yes! The Turtle output can be further converted to Jelly-RDF for high-performance streaming, or to other RDF formats like N-Triples, N-Quads, or RDF/XML. Turtle serves as an excellent intermediate format for RDF toolchains.

Is the JSON to RDF converter free to use?

Yes, completely free for academic, research, and commercial use. No registration required, no file size limits, and unlimited conversions. Perfect for researchers, developers, and semantic web enthusiasts building linked data applications.

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