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我是语义网领域的新手,我正在尝试比较更多的推理者。这是我的代码:

   OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
    File file = new File(args[0]);
    OWLOntology ontology = manager.loadOntologyFromOntologyDocument(file);
    Set<OWLClass> classes = ontology.getClassesInSignature();


    String inferredFile = args[1];
    //test for correctly uploading ontology
    OWLDataFactory df = manager.getOWLDataFactory();     
    Reasoner jfact = Reasoner.JFACT;
    System.out.println(RunReasoner(jfact, df,ontology,manager,inferredFile));



}

//CREATE AN ENUM REASONER
public enum Reasoner{
    HERMIT, 
    PELLET, 
    KONCLUDE,
    JFACT,
    FACT,
    ELK

}   
    public static String RunReasoner(Reasoner reasoner, OWLDataFactory df, OWLOntology ontology,                                                         OWLOntologyManager manager, String inferredFile) throws OWLOntologyCreationException, FileNotFoundException, IOException, OWLOntologyStorageException {
    String esito = "";
    OWLReasoner reasoner_object = null;
    if(reasoner == Reasoner.HERMIT) {
        /****************HERMIT****************************************************************************************/

        OWLReasonerFactory rf = new ReasonerFactory();
        TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
        Configuration configuration = new Configuration();
        configuration.reasonerProgressMonitor = progressMonitor;
        configuration.ignoreUnsupportedDatatypes = true;
        reasoner_object = rf.createReasoner(ontology, configuration);


    }
    else if(reasoner == Reasoner.KONCLUDE) {

        // configure the server end-point
        URL url = new URL("http://localhost:8080");
        OWLlinkHTTPXMLReasonerFactory factory = new OWLlinkHTTPXMLReasonerFactory();
        TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
        //OWLlinkReasonerConfiguration conf = (OWLlinkReasonerConfiguration) new SimpleConfiguration(progressMonitor);
        reasoner_object = factory.createNonBufferingReasoner(ontology);

    }
    else if(reasoner == Reasoner.JFACT) {
        TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
        OWLReasonerConfiguration conf = new SimpleConfiguration(progressMonitor);
        JFactFactory factory = new JFactFactory();          
        reasoner_object = factory.createNonBufferingReasoner(ontology,conf);
    }
    //      else if(reasoner == Reasoner.FACT) {
    //          TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
    //          OWLReasonerConfiguration conf = new SimpleConfiguration(progressMonitor);
    //          FaCTPlusPlusReasonerFactory factory = new FaCTPlusPlusReasonerFactory();
    //          reasoner_object = factory.createNonBufferingReasoner(ontology,conf);
    //      }
    else if(reasoner == Reasoner.ELK) {
        TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
        OWLReasonerConfiguration conf = new SimpleConfiguration(progressMonitor);
        ElkReasonerFactory factory = new ElkReasonerFactory();
        reasoner_object = factory.createNonBufferingReasoner(ontology,conf);
    }
    else if(reasoner == Reasoner.PELLET) {
        TimedConsoleProgressMonitor progressMonitor = new TimedConsoleProgressMonitor();
        OWLReasonerConfiguration conf = new SimpleConfiguration(progressMonitor);
        reasoner_object = OpenlletReasonerFactory.getInstance().createReasoner(ontology,conf);          
    }
    else{
        esito = "Reasoner non valido";
    }
     boolean consistencyCheck = reasoner_object.isConsistent();
            if (consistencyCheck) {
                reasoner_object.precomputeInferences(InferenceType.CLASS_HIERARCHY,
                    InferenceType.CLASS_ASSERTIONS, InferenceType.OBJECT_PROPERTY_HIERARCHY,
                    InferenceType.DATA_PROPERTY_HIERARCHY, InferenceType.OBJECT_PROPERTY_ASSERTIONS);
                List<InferredAxiomGenerator<? extends OWLAxiom>> generators = new ArrayList<>();
                generators.add(new InferredSubClassAxiomGenerator());
                generators.add(new InferredClassAssertionAxiomGenerator());
                generators.add(new InferredDataPropertyCharacteristicAxiomGenerator());
                generators.add(new InferredEquivalentClassAxiomGenerator());
                generators.add(new InferredEquivalentDataPropertiesAxiomGenerator());
                generators.add(new InferredEquivalentObjectPropertyAxiomGenerator());
                generators.add(new InferredInverseObjectPropertiesAxiomGenerator());
                generators.add(new InferredObjectPropertyCharacteristicAxiomGenerator());

                // NOTE: InferredPropertyAssertionGenerator significantly slows down
                // inference computation
                generators.add(new org.semanticweb.owlapi.util.InferredPropertyAssertionGenerator());

                generators.add(new InferredSubClassAxiomGenerator());
                generators.add(new InferredSubDataPropertyAxiomGenerator());
                generators.add(new InferredSubObjectPropertyAxiomGenerator());
                List<InferredIndividualAxiomGenerator<? extends OWLIndividualAxiom>> individualAxioms =
                    new ArrayList<>();
                generators.addAll(individualAxioms);

                generators.add(new InferredDisjointClassesAxiomGenerator());
                InferredOntologyGenerator iog = new InferredOntologyGenerator(reasoner_object, generators); //Generates an ontology based on inferred axioms which are essentially supplied by a reasoner

                OWLOntology inferredAxiomsOntology = manager.createOntology();
                iog.fillOntology(df, inferredAxiomsOntology);
                System.out.println(inferredAxiomsOntology.getAxiomCount());
    //                  for(InferredAxiomGenerator<?> i : iog.getAxiomGenerators()) {
    //                      System.out.println(i);}
                File inferredOntologyFile = new File(inferredFile);
                // Now we create a stream since the ontology manager can then write to that stream.
                try (OutputStream outputStream = new FileOutputStream(inferredOntologyFile)) {
                    // We use the same format as for the input ontology.
                    manager.saveOntology(inferredAxiomsOntology, outputStream);
                }
                esito = "done "+ reasoner.toString();
                reasoner_object.dispose();
            } // End if consistencyCheck
            else {
                esito = reasoner.toString() +" -- Inconsistent input Ontology, Please check the OWL File";
            }
    return esito;
}     

我的输出是这样的:

Loading ...
    busy ...
    ... finished in 3484.5453
Classifying ...
    1%  73
    2%  56...

有人可以解释一下这是什么意思吗?是否有一些关于进度监视器输出的文档?第二个问题:我怎样才能得到推断类/公理的数量?谢谢你的帮助,丽塔

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1 回答 1

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该类的 Javadoc 可在线获取,并作为类源代码的一部分http://owlcs.github.io/owlapi/apidocs_5/org/semanticweb/owlapi/reasoner/TimedConsoleProgressMonitor.html

百分比增量取决于推理器的实现(并且可能存在不可靠性,因为推理器仅对已完成的工作量与仍需完成的工作量进行有根据的猜测。数字是自以前的百分比增量。

推断的公理并不是全部计算出来的,它们在需要时被懒惰地评估,所以它们不容易被计算出来。如果您希望实现推理,请查找 InferredAxiomGenerator http://owlcs.github.io/owlapi/apidocs_5/index.html?org/semanticweb/owlapi/reasoner/package-summary.html以获得可用的可能性。

于 2020-04-29T10:39:35.183 回答