LaTeX to RDF Converter

About LaTeX to RDF Converter

Convert LaTeX tables to RDF (Resource Description Framework) format for semantic web applications, linked data, and knowledge graphs. Supports Turtle, N-Triples, and RDF/XML serializations.

Key Features

• Multiple Formats: Turtle, N-Triples, and RDF/XML support
• Automatic Datatyping: Detects integers, decimals, booleans, dates, and strings
• Custom URIs: Configure base URI and predicate prefix
• Type Declarations: Optional rdf:type statements
• URI Sanitization: Clean property names for valid URIs
• Standard Prefixes: Includes rdf, rdfs, and xsd namespaces
• File Download: Save as .ttl, .nt, or .rdf files

How to Use

1. Input LaTeX Table: Paste your LaTeX table or upload a .tex file
2. Configure URIs: Set base URI and predicate prefix
3. Choose Format: Select Turtle, N-Triples, or RDF/XML
4. Review RDF: The RDF output updates automatically
5. Download or Copy: Use in semantic web applications

RDF Formats

• Turtle: Human-readable, compact syntax (.ttl)
• N-Triples: Simple line-based format (.nt)
• RDF/XML: XML-based format (.rdf)

Example Conversion

LaTeX Input:

\begin{tabular}{llll}
\toprule
Name & Age & City & Department \\
\midrule
John Doe & 28 & New York & Engineering \\
Jane Smith & 34 & London & Marketing \\
\bottomrule
\end{tabular}

RDF Output (Turtle):

@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix ex: <http://example.org/data/> .
@prefix prop: <http://example.org/property/> .

ex:row1
  rdf:type ex:TableRow ;
  prop:name "John Doe" ;
  prop:age "28"^^xsd:integer ;
  prop:city "New York" ;
  prop:department "Engineering" .

ex:row2
  rdf:type ex:TableRow ;
  prop:name "Jane Smith" ;
  prop:age "34"^^xsd:integer ;
  prop:city "London" ;
  prop:department "Marketing" .

RDF Output (N-Triples):

<http://example.org/data/row1> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://example.org/data/TableRow> .
<http://example.org/data/row1> <http://example.org/property/name> "John Doe" .
<http://example.org/data/row1> <http://example.org/property/age> "28"^^<http://www.w3.org/2001/XMLSchema#integer> .
<http://example.org/data/row1> <http://example.org/property/city> "New York" .
<http://example.org/data/row1> <http://example.org/property/department> "Engineering" .

Common Use Cases

• Knowledge Graphs: Build semantic knowledge bases
• Linked Data: Publish data as linked open data
• Semantic Web: Create machine-readable web content
• Ontologies: Populate ontologies with instance data
• SPARQL Queries: Enable semantic queries on data
• Data Integration: Integrate heterogeneous data sources

XSD Datatypes

Automatic datatype detection and assignment:

• xsd:integer: Whole numbers (28, -5, 1000)
• xsd:decimal: Decimal numbers (3.14, 99.9)
• xsd:boolean: true/false values
• xsd:date: ISO date format (2024-01-15)
• xsd:string: Text and mixed content (default)

SPARQL Query Example

Query the generated RDF data:

PREFIX ex: <http://example.org/data/>
PREFIX prop: <http://example.org/property/>

SELECT ?name ?age ?city
WHERE {
  ?row rdf:type ex:TableRow ;
       prop:name ?name ;
       prop:age ?age ;
       prop:city ?city .
  FILTER (?age > 30)
}
ORDER BY DESC(?age)

Loading RDF Data

Apache Jena (Java):

Model model = ModelFactory.createDefaultModel();
model.read("data.ttl", "TURTLE");

// Query with SPARQL
String queryString = "SELECT * WHERE { ?s ?p ?o }";
Query query = QueryFactory.create(queryString);
QueryExecution qexec = QueryExecutionFactory.create(query, model);
ResultSet results = qexec.execSelect();

RDFLib (Python):

from rdflib import Graph

g = Graph()
g.parse("data.ttl", format="turtle")

# Query with SPARQL
query = """
SELECT ?name ?age
WHERE {
  ?row prop:name ?name ;
       prop:age ?age .
}
"""
results = g.query(query)

Triple Stores

Import RDF data into popular triple stores:

• Apache Jena Fuseki: Open-source SPARQL server
• Blazegraph: High-performance graph database
• GraphDB: Enterprise semantic graph database
• Virtuoso: Universal server for linked data
• Stardog: Enterprise knowledge graph platform

RDF Validation

Validate generated RDF with online tools:

• W3C RDF Validator
• RDF Translator
• EasyRDF Converter
• Apache Jena riot command-line tool

Semantic Web Standards

The generated RDF follows W3C standards:

• RDF 1.1: Resource Description Framework specification
• Turtle: Terse RDF Triple Language
• N-Triples: Line-based RDF syntax
• RDF/XML: XML serialization of RDF
• XSD: XML Schema datatypes

Best Practices

• Use meaningful base URIs that you control
• Follow URI naming conventions (lowercase, underscores)
• Use standard vocabularies when possible (FOAF, Dublin Core, Schema.org)
• Include rdf:type for better semantic clarity
• Validate RDF output before deployment
• Choose Turtle for human readability, N-Triples for machine processing

Integration with Ontologies

# Define custom ontology
@prefix : <http://example.org/ontology/> .

:Person rdf:type owl:Class .
:name rdf:type owl:DatatypeProperty ;
      rdfs:domain :Person ;
      rdfs:range xsd:string .
:age rdf:type owl:DatatypeProperty ;
     rdfs:domain :Person ;
     rdfs:range xsd:integer .

# Instance data from LaTeX table
ex:row1 rdf:type :Person ;
        :name "John Doe" ;
        :age 28 .

Privacy & Security

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