Difference between revisions of "Lab: RDFS"

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RDFS.subClassOf, RDFS.subPropertyOf, RDFS.domain, RDFS.range, RDFS.label, RDFS.label,  
RDFS.subClassOf, RDFS.subPropertyOf, RDFS.domain, RDFS.range, RDFS.label, RDFS.comment,  

Revision as of 18:30, 4 March 2020

Lab 7: RDFS Programming with rdflib and owlrl


Basic RDFS graph programming in RDFlib. Entailments and axioms with owlrl.


owlrl.RDFSClosure (RDFS_Semantics, closure, flush_stored_triples)



RDFS.subClassOf, RDFS.subPropertyOf, RDFS.domain, RDFS.range, RDFS.label, RDFS.comment,


First, pip install owlrl. The RDFS Vocabulary can be imported from rdflib.namespace, just like FOAF or RDF.

Consider the following Scenario: "University of California and University of Valencia are both Universities. All universities are higher education institutions (HEIs). That a person has a degree in a subject means that the person has expertise in that subject. Only persons can have an expertise, and what they have expertise in is always a subject. Having a degree from a HEI means that you have also graduated from that HEI. Only persons can graduate from a HEI."

Create RDFS triples corresponding to the text above with RDFlib - if you can, try to build on your example from lab 2!

Using these three lines we can add automatically the inferred triples (like ex:University rdf:type ex:Higher_Education_Institute) :

rdfs = owlrl.RDFSClosure.RDFS_Semantics(g, False, False, False)

Check that simple inference works - make sure that your graph contains triples like these, even if you have not asserted them explicitly:

  • that University of California and Valencia are HEIs
  • that Cade and Emma both have expertises
  • that Cade and Emma are both persons
  • that biology and chemistry are both subjects
  • that Cade and Emma have both graduated from some HEI

One way to check if the triples are there:

universities = g.query("""
PREFIX ex: <http://example.org/>
    ex:University_of_California rdf:type ex:Higher_Education_Institution.

Rewrite some of your existing code to use rdfs:label in a triple and add an rdfs:comment to the same resource.

If you have more time...

Create a new RDFS graph that wraps an empty graph. This graph contains only RDFS axioms. Write it out in Turtle and check that you understand the meaning and purpose of each axiom.

Create an RDF (not RDFS) graph that contains all the triples in your first graph (the one with all the people and universities). Subtract all the triples in the axiom graph from the people/university graph. Write it out to see that you are left with only the asserted and entailed triples and that none of the axioms remain.

Useful Readings