Examples of org.semanticweb.owlapi.model.OWLOntologyManager.createOntology()

Class org.semanticweb.owlapi.model.OWLOntologyManager

Examples of org.semanticweb.owlapi.model.OWLOntologyManager.createOntology()

org.semanticweb.owlapi.model.OWLOntologyManager.createOntology()
Creates a new (empty) ontology that does not have an ontology IRI (and therefore does not have a version IRI). A document IRI will automatically be generated. @return The newly created ontology @throws OWLOntologyCreationException if there was a problem creating the ontology


    @Test
    public void testCreateOntologyChangeEquals()
            throws OWLOntologyCreationException {
        OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
        OWLOntology ontology = manager.createOntology();
        OWLOntologyID ontologyID = ontology.getOntologyID();
        AddAxiomData addAxiomData = new AddAxiomData(mockAxiom);
        OWLOntologyChangeRecord changeRecord = new OWLOntologyChangeRecord(
                ontologyID, addAxiomData);
        OWLOntologyChange change = changeRecord.createOntologyChange(manager);

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    }


    @Test
    public void testOntologyCreation() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(EXAMPLE_IRI);
        assertNotNull(o);
    }


    @Test
    public void testShowClasses() throws OWLException {

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        File localFolder = new File("materializedOntologies");
        // the manager will look up an ontology IRI by checking
        // localFolder first for a local copy, checking its subfolders as well
        m.getIRIMappers().add(new AutoIRIMapper(localFolder, true));
        // Create the ontology - we use the ontology IRI (not the physical URI)
        OWLOntology o = m.createOntology(EXAMPLE_SAVE_IRI);
        // save the ontology to its physical location - documentIRI
        m.saveOntology(o);
        assertNotNull(o);
    }

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    }


    @Test
    public void testAddAxioms() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(KOALA_IRI);
        // class A and class B
        OWLClass clsA = df.getOWLClass(IRI.create(KOALA_IRI + "#A"));
        OWLClass clsB = df.getOWLClass(IRI.create(KOALA_IRI + "#B"));
        // Now create the axiom
        OWLAxiom axiom = df.getOWLSubClassOfAxiom(clsA, clsB);

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    }


    @Test
    public void testSWRL() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(EXAMPLE_IRI);
        // Get hold of references to class A and class B.
        OWLClass clsA = df.getOWLClass(IRI.create(EXAMPLE_IRI + "#A"));
        OWLClass clsB = df.getOWLClass(IRI.create(EXAMPLE_IRI + "#B"));
        SWRLVariable var = df.getSWRLVariable(IRI.create(EXAMPLE_IRI + "#x"));
        Set<SWRLClassAtom> body = Collections.singleton(df.getSWRLClassAtom(

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    }


    @Test
    public void testIndividualAssertions() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(EXAMPLE_IRI);
        // We want to state that matthew has a father who is peter.
        OWLIndividual matthew = df.getOWLNamedIndividual(IRI.create(EXAMPLE_IRI
                + "#matthew"));
        OWLIndividual peter = df.getOWLNamedIndividual(IRI.create(EXAMPLE_IRI
                + "#peter"));

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    }


    @Test
    public void testAddSomeRestriction() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(EXAMPLE_IRI);
        // all Heads have parts that are noses (at least one)
        // We do this by creating an existential (some) restriction
        OWLObjectProperty hasPart = df.getOWLObjectProperty(IRI
                .create(EXAMPLE_IRI + "#hasPart"));
        OWLClass nose = df.getOWLClass(IRI.create(EXAMPLE_IRI + "#Nose"));

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    }


    @Test
    public void testDatatypeRestriction() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o = m.createOntology(EXAMPLE_IRI);
        // Adults have an age greater than 18.
        OWLDataProperty hasAge = df.getOWLDataProperty(IRI.create(EXAMPLE_IRI
                + "hasAge"));
        // Create the restricted data range by applying the facet restriction
        // with a value of 18 to int

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        reasoner.precomputeInferences(InferenceType.CLASS_HIERARCHY);
        // To generate an inferred ontology, use implementations of inferred
        // axiom generators
        List<InferredAxiomGenerator<? extends OWLAxiom>> gens = new ArrayList<>();
        gens.add(new InferredSubClassAxiomGenerator());
        OWLOntology infOnt = m.createOntology();
        // create the inferred ontology generator
        InferredOntologyGenerator iog = new InferredOntologyGenerator(reasoner,
                gens);
        iog.fillOntology(m.getOWLDataFactory(), infOnt);
    }

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    @Test
    public void testMergedOntology() throws OWLException {
        OWLOntologyManager m = create();
        OWLOntology o1 = loadPizzaOntology(m);
        OWLOntology o2 = m.createOntology(EXAMPLE_IRI);
        m.addAxiom(
                o2,
                df.getOWLDeclarationAxiom(df.getOWLClass(IRI.create(EXAMPLE_IRI
                        + "#Weasel"))));
        // Create our ontology merger

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