Markdown to RDF Converter

About Markdown to RDF Converter

Convert Markdown tables to RDF (Resource Description Framework) format for semantic web applications, linked data, and knowledge graphs. RDF is a W3C standard for representing information about resources in the web.

Key Features

• Multiple RDF Formats: Support for Turtle, RDF/XML, and N-Triples serializations
• Automatic Type Detection: Detects numeric values and URIs automatically
• Custom Base URI: Configure the base URI for your RDF resources
• Semantic Web Ready: Generate W3C-compliant RDF for linked data applications
• Property Sanitization: Automatically converts headers to valid RDF property names
• File Upload: Upload .md files directly
• Instant Preview: Real-time conversion as you type
• Copy & Download: Easy export in .rdf, .ttl, or .nt formats

How to Use

1. Input Markdown Table: Paste your Markdown table or upload a .md file
2. Select RDF Format: Choose between Turtle, RDF/XML, or N-Triples
3. Configure Base URI: Set the base URI for your RDF resources
4. Review Output: The RDF output updates automatically
5. Export: Copy to clipboard or download as .rdf, .ttl, or .nt file

RDF Formats

• Turtle (.ttl): Human-readable format with compact syntax and prefix support
• RDF/XML (.rdf): XML-based format, widely supported in legacy systems
• N-Triples (.nt): Simple line-based format, easy to parse and process

Example Conversion

Markdown Input:

| Name | Age | City | Department |
|------|-----|------|------------|
| John Doe | 28 | New York | Engineering |
| Jane Smith | 34 | London | Marketing |

Turtle Output:

@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ex: <http://example.org/vocab/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://example.org/data/record1>
  ex:name "John Doe" ;
  ex:age "28"^^xsd:decimal ;
  ex:city "New York" ;
  ex:department "Engineering" .

Common Use Cases

• Linked Data: Create linked data resources for the semantic web
• Knowledge Graphs: Build knowledge graphs from tabular data
• Ontology Development: Generate RDF data for ontology testing
• Data Integration: Convert data for RDF-based integration systems
• SPARQL Queries: Prepare data for SPARQL query endpoints
• Triple Stores: Import data into RDF triple stores like Apache Jena, Virtuoso
• Semantic Search: Enable semantic search capabilities

RDF Concepts

• Resources: Each row becomes an RDF resource with a unique URI
• Properties: Column headers become RDF properties in the vocabulary namespace
• Literals: Cell values become RDF literals with appropriate datatypes
• Triples: Each cell creates a subject-predicate-object triple
• Namespaces: Uses standard RDF, XSD, and custom vocabulary namespaces

Type Detection

The converter automatically detects data types:

• Numeric Values: Assigned xsd:decimal datatype
• URIs: Values starting with http:// or https:// become resource references
• Text: All other values become string literals

Turtle Format Features

• Compact and human-readable syntax
• Prefix declarations for shorter URIs
• Semicolon notation for multiple properties
• Datatype annotations with ^^
• Widely used in semantic web applications

RDF/XML Format Features

• XML-based serialization
• Compatible with XML tools and parsers
• Namespace support
• rdf:about for resource identification
• rdf:resource for URI references
• rdf:datatype for typed literals

N-Triples Format Features

• Simple line-based format
• One triple per line
• Full URIs (no prefixes)
• Easy to parse and stream
• Ideal for large datasets

Integration Examples

• Apache Jena: Import into Jena TDB or Fuseki
• Virtuoso: Load into OpenLink Virtuoso triple store
• GraphDB: Import into Ontotext GraphDB
• RDF4J: Use with Eclipse RDF4J framework
• SPARQL Endpoints: Query with SPARQL 1.1

Tips for Best Results

• Use meaningful column headers that will become property names
• Choose Turtle format for human readability
• Use RDF/XML for XML-based workflows
• Use N-Triples for large-scale data processing
• Configure a meaningful base URI for your domain
• Include URIs in cells to create linked data connections
• Validate output with RDF validators before deployment

FAQ

• How are URIs and literals distinguished? Values starting with http:// or https:// are treated as resource URIs; everything else becomes a literal with an appropriate datatype.
• What base URI should I use? Use a domain you control (for example, https://example.com/data/) so generated record URIs integrate cleanly into your existing knowledge graph.
• Can I change property names? Column headers are sanitized into property names. If you need custom vocabularies, edit the generated RDF to map them to your own namespaces.
• Is my data uploaded to a triple store? No. The tool only generates RDF text in your browser; you decide if and where to upload it (Jena, Virtuoso, GraphDB, etc.).

Privacy & Security

All conversions happen locally in your browser. Your Markdown data is never uploaded to any server, ensuring complete privacy and security.