tools4rdf#

tools4RDF is a Python toolkit designed to simplify working with RDF data, ontologies, and knowledge graphs. It provides user-friendly utilities for creating, manipulating, querying, and visualizing RDF data, making it easier to integrate semantic web technologies into research and applications, particularly for domain scientists and developers without deep RDF expertise.

It is built on top of rdflib, and a primary function is the automated creation of SPARQL queries through an autocompleted programmatic interface.

Explore the examples below to get started with tools4rdf and see how it can accelerate your semantic data workflows!

A small example#

from tools4rdf import OntologyNetwork

Read in the FOAF ontology

onto = OntologyNetwork('http://purl.org/spar/foaf')

Explore terms, autocompletion works!

onto.terms.foaf.Person

foaf:Person

onto.terms.foaf.Person.uri, onto.terms.foaf.Person.description

('http://xmlns.com/foaf/0.1/Person',
 rdflib.term.Literal('A person.', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#string')))

Another term

onto.terms.foaf.name

foaf:name

Find domain and range of the term

onto.terms.foaf.name.domain, onto.terms.foaf.name.range

(['foaf:Agent',
  'foaf:Project',
  'foaf:Document',
  'foaf:Person',
  'foaf:Group',
  'foaf:Organization',
  'foaf:Image',
  'foaf:PersonalProfileDocument'],
 [])

Build SPARQL queries automatically, and execute them on endpoints

df = onto.query(
    'https://dbpedia.org/sparql',
    onto.terms.foaf.Person,
    onto.terms.foaf.name,
    limit=10,
)
df
Person namevalue
0 http://dbpedia.org/resource/Esteban_Mujica Esteban Andres Mujica Peralta
1 http://dbpedia.org/resource/Joan_Cererols Joan Cererols
2 http://dbpedia.org/resource/Menahem_ben_Saruq Menachem ben Saruq
3 http://dbpedia.org/resource/Rafe_de_Crespigny Richard Rafe Champion de Crespigny
4 http://dbpedia.org/resource/0%25Mercury 0%Mercury
5 http://dbpedia.org/resource/1472_F.C.__Abah_So... Abah Solomon Joseph
6 http://dbpedia.org/resource/1472_F.C.__Adeka_A... Adeka Andrew Inalegegwu
7 http://dbpedia.org/resource/1472_F.C.__Adenodi... Adenodi Micheal Oluwasegunfunmi
8 http://dbpedia.org/resource/1472_F.C.__Afere_O... Afere Oluwaayemi Emmanuel
9 http://dbpedia.org/resource/1472_F.C.__Akinyem... Akinyemi Kayode John

We can take a look at the SPARQL query that was executed:

q = onto.create_query(
    onto.terms.foaf.Person,
    onto.terms.foaf.name,
    limit=10,
)
print(q)

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT DISTINCT ?Person ?namevalue
WHERE {
    ?Person foaf:name ?namevalue .
     ?Person rdf:type foaf:Person . 
}
LIMIT 10

Other features include:

  • Automated SPARQL query of both local knowledge graphs and remote endpoints

  • Read and parse ontologies

  • Combine ontologies programatically and connect them

For more examples, please check here

Supported SPARQL keywords#

The queries automatically generated by tools4RDF incorporates the following SPARQL features:

  • PREFIX declarations: Automatically generated from the ontologies and namespaces in use

  • SELECT DISTINCT: All queries use SELECT DISTINCT to retrieve unique results

  • WHERE clause: Triple patterns are constructed based on the paths between source and destination terms

  • LIMIT: The number of results can be restricted using the limit parameter

  • Type assertions: Automatic generation of rdf:type statements for classes

  • Subclass support: When subclasses are included, UNION clauses are generated to match any subclass

  • Comparison operators: <, >, <=, >=, ==, !=

  • Logical operators: &&, || for combining conditions

  • XSD datatype support: Filters are generated with appropriate XSD datatypes

  • Remote endpoints: Pass a SPARQL endpoint to the query

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