Logo

HTML to RDF Converter

Transform HTML into RDF semantic data format

HTML Input

Convert HTML to other formats

HTML to ActionScriptHTML to ASCIIHTML to AsciiDocHTML to ASPHTML to AvroHTML to BBCodeHTML to CSVHTML to DAX

RDF Output

Convert other formats to RDF

CSV to RDFExcel to RDFJSON to RDFLaTeX to RDFMarkdown to RDFMediaWiki to RDFMySQL to RDFSQL to RDF

Related Tools

HTML to reStructuredText

Convert HTML to reStructuredText (RST) format for Sphinx documentation and technical writing

HTML to Ruby

Convert HTML to Ruby data structures including hashes, arrays, and Nokogiri builder code

HTML to SQL

Convert HTML tables and structure to SQL CREATE TABLE and INSERT statements for MySQL, PostgreSQL, and SQLite

HTML to Textile

Convert HTML to Textile markup format for forums and content management systems

HTML to TOML

Convert HTML to TOML configuration file format with nested structure support

HTML to TracWiki

Convert HTML to TracWiki markup format for Trac project management and wiki systems

About HTML to RDF Converter

The HTML to RDF converter transforms regular web pages into RDF (Resource Description Framework) triples so your content can be used in semantic web, linked data, and knowledge graph applications. It reads the structure of your HTML and outputs standards-compliant RDF in Turtle, N-Triples, or RDF/XML format.

Key Features & Benefits

  • Multiple RDF serializations: Export RDF as Turtle (.ttl), N-Triples (.nt), or RDF/XML (.rdf) depending on your toolchain.
  • Semantic structure preservation: Captures the HTML hierarchy (body, article, section, lists, links) as RDF nodes and relationships.
  • Metadata extraction: Optionally includes document title and description via Dublin Core (dc:title, dc:description).
  • Custom base URI: Configure a base URI so all generated resources align with your domain or vocabulary namespace.
  • Attribute mapping: Converts HTML attributes (id, class, href, data-*) to RDF properties using the XHTML vocabulary.
  • Hierarchical representation: Maintains parent-child relationships so you can reconstruct the tree structure in RDF.

Supported RDF Formats

  • Turtle (.ttl): Compact, human-readable syntax with prefixes – great for development and debugging.
  • N-Triples (.nt): Simple, line-based syntax – one triple per line, ideal for bulk imports into triple stores.
  • RDF/XML (.rdf): XML-based representation – useful when integrating with XML-heavy systems.

How to Use the HTML to RDF Tool

  1. Paste or upload HTML: Provide HTML from a page, documentation, or exported report.
  2. Choose RDF format: Select Turtle, N-Triples, or RDF/XML depending on your RDF datastore or pipeline.
  3. Set base URI: Enter a base URI (for example, https://example.org/) to mint stable IRIs for resources.
  4. Include metadata: Decide whether to embed document-level metadata in the RDF graph.
  5. Review and export: Inspect the generated RDF, then copy it or download it as a file for use in SPARQL endpoints and triple stores.

Example: HTML Article to Turtle RDF

Sample HTML snippet:

<article id="main-article">
  <h1>Introduction to RDF</h1>
  <p>RDF is a standard model for data interchange on the Web.</p>
</article>

Example Turtle output (simplified):

@prefix html: <http://www.w3.org/1999/xhtml/vocab#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix : <https://example.org/> .

:node0 a html:article ;
  html:id "main-article" ;
  rdfs:label "Introduction to RDF RDF is a standard model for data interchange on the Web." .

You can now load this Turtle file into your favorite RDF database or SPARQL endpoint and query it alongside other linked data.

RDF Vocabularies Used

  • rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns# – Core RDF syntax vocabulary.
  • rdfs: http://www.w3.org/2000/01/rdf-schema# – Labels and basic schema constructs.
  • dc: http://purl.org/dc/elements/1.1/ – Dublin Core metadata for titles and descriptions.
  • html: http://www.w3.org/1999/xhtml/vocab# – Vocabulary for HTML-based resources and attributes.

Common Use Cases

  • Semantic web publishing: Turn regular web pages into RDF graphs to expose them as linked data.
  • Knowledge graph ingestion: Convert HTML documentation into RDF and add it to enterprise knowledge graphs.
  • Metadata extraction: Extract titles, headings and structured content from HTML into a searchable RDF index.
  • Content integration: Align HTML-based content with existing RDF datasets for unified SPARQL queries.
  • Ontology prototyping: Quickly test how HTML structures might map to ontologies before building full pipelines.

Understanding RDF Triples

Every RDF statement is a triple made of:

  • Subject: The resource (for example, a node representing an HTML element).
  • Predicate: The property or relationship (for example, html:class, rdfs:label).
  • Object: The value or related resource (for example, a string literal or another node IRI).

Tips for Best HTML to RDF Results

  • Use semantic HTML: Prefer <article>, <section>, <header>, etc., for richer RDF structure.
  • Meaningful IDs and classes: Use IDs and class names that describe the resource to produce more useful RDF properties.
  • Add metadata tags: Include <title> and <meta name="description"> for better document-level RDF.
  • Choose a stable base URI: Use your real domain or vocabulary URI so the generated IRIs are meaningful.
  • Select the right format: Use Turtle during development, then switch to N-Triples or RDF/XML for bulk imports if needed.

FAQ – HTML to RDF Converter

  • Where can I load the generated RDF?

    You can load the output into any RDF database or triple store (for example, Apache Jena Fuseki, Virtuoso, Blazegraph) or use it with libraries like rdflib, Jena, or RDFLib.js.

  • Does this tool create a full ontology?

    No. It focuses on turning HTML structure into RDF triples using standard vocabularies. You can later map or align these resources to your own domain ontology.

  • Is the HTML content sent to a server?

    No. All HTML to RDF conversion takes place locally in your browser, so your pages and RDF graphs remain on your device.

  • Can I post‑process the RDF?

    Yes. Once exported, you can run SPARQL updates, apply reasoning, or transform the graph further using RDF tools and libraries.

Privacy & Security

All HTML to RDF conversions run entirely in your browser. No HTML or RDF data is uploaded, which makes this tool safe for internal documentation sites and confidential content.