如何用推理器获得猫头鹰中的个体类别
OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
OWLOntology ontology = manager.loadOntologyFromOntologyDocument(new StringDocumentSource(KOALA));
IRI ontologyIRI = IRI.create("http://www.semanticweb.org/xxxxx/ontologies/2017/10/ontology");
OWLDataFactory factory = manager.getOWLDataFactory();
OWLIndividual john = factory.getOWLNamedIndividual(IRI.create(ontologyIRI + "#John"));
OWLDataPropertyExpression hasConnexion= factory.getOWLDataProperty(IRI.create(ontologyIRI + "#hasConnexion"));
OWLDataPropertyAssertionAxiom axiom = factory.getOWLDataPropertyAssertionAxiom(hasConnexion, john, 3);
AddAxiom addAxiom = new AddAxiom(ontology, axiom);
manager.applyChange(addAxiom);
manager.saveOntology(ontology, new StreamDocumentTarget(System.out));
//reasoner
OWLReasonerFactory reasonerFactory = new StructuralReasonerFactory();
OWLReasoner reasoner = reasonerFactory.createReasoner(ontology);
OWLClass myClass= fac.getOWLClass(IRI.create("http://www.semanticweb.org/xxxxx/ontologies/2017/10/ontology#hasConnexion"));
NodeSet<OWLNamedIndividual> individuals = reasoner.getInstances(myClass,
false);
for (Node<OWLNamedIndividual> i : individuals)
{
System.out.println(i.getClass());
}
我希望结果是每个人的阶级 但是推理者没有给出任何结果。为了保护它的工作做得很好但是当我接受我的本体并尝试使用owl api时,我没有得到任何结果
答案 0 :(得分:1)
是的,那不行。 i.getClass()
将为您提供Java类,而不是个人的断言类型。要获得所声称的个人类型,您需要致电ontology.axioms(i).collect(Collectors.toSet())
。这只会返回已添加到本体的断言。
要获得推断类型,您需要致电reasoner.types(i).collect(Collectors.toSet())
。
困扰我的是你说你有没有的结果。我希望你应该得到很多错误的结果(即Java类而不是OWL类)。好的,所以你在代码片段中创建了一个本体。你没有得到任何结果的原因是你没有为john
添加一个类断言公理。您需要添加factory.getOWLClassAssertionAxiom(owlClassExpression, john)
owlClassExpression
,其中Person
代表您的本体中的一个类,如$this->sold_item_by_gst_percentage($data['Sold_items'], $GST_Percentage)
。
答案 1 :(得分:0)
基于OWL Api Examples,这里有两个例子:
获取OWLClass样式的子类:
OWLOntologyManager owlManager OWLManager.createOWLOntologyManager();
IRI iri = IRI.create("http://www.semanticweb.org/music-ontology#Style");
OWLClass style = owlManager.getOWLDataFactory().getOWLClass(iri);
OWLReasonerFactory reasonerFactory = new StructuralReasonerFactory();
OWLReasoner reasoner = reasonerFactory.createReasoner(ontologia);
NodeSet<OWLClass> subClasses = reasoner.getSubClasses(style, true);
Set<OWLClass> clses = subClasses.getFlattened();
Log.d(TAG, "Subclasses of Style: ");
for (OWLClass cls : clses) {
String s = cls.toString();
Log.d(TAG, s.substring(s.indexOf("#") + 1, s.length() -1));
}
获取OWLClass Rock的个人资料
OWLOntologyManager owlManager OWLManager.createOWLOntologyManager();
IRI iri = IRI.create("http://www.semanticweb.org/music-ontology#Rock");
OWLClass rock = owlManager.getOWLDataFactory().getOWLClass(iri);
OWLReasonerFactory reasonerFactory = new StructuralReasonerFactory();
OWLReasoner reasoner = reasonerFactory.createReasoner(ontologia);
NodeSet<OWLNamedIndividual> individualsNodeSet = reasoner.getInstances(rock, true);
Set<OWLNamedIndividual> individuals = individualsNodeSet.getFlattened();
Log.d(TAG, "Instances of Rock: ");
for (OWLNamedIndividual ind : individuals) {
String s = ind.toString();
Log.d(TAG, s.substring(s.indexOf("#") + 1, s.length() -1));
}