尝试通过Jena界面使用PelletReasoner仅列出知识(新三元组)。我只想要从本体( OWL )应用托盘推理器和 InfModel 后生成的推断数据。目前,我列出了所有个人 - 包含断言和推断的知识。
那么我怎样才能从猫头鹰那里获得唯一的推断知识。 Thanx in Advance ..
//Inference Logic//
com.hp.hpl.jena.reasoner.Reasoner reasoner = org.mindswap.pellet.jena.PelletReasonerFactory.theInstance().create();
Model infModel = ModelFactory.createInfModel(reasoner, ModelFactory.createDefaultModel());
OntModel model = ModelFactory.createOntologyModel(OntModelSpec.OWL_DL_MEM, infModel);
try
{
inputStream = new FileInputStream(OWL_File);
}
catch (FileNotFoundException p)
{
p.printStackTrace();
}
model.read(inputStream, null, "RDF/XML");
答案 0 :(得分:3)
这是创建一个简单的OntModel的代码,其中包含B和A类,其中B⊑A,i是B类的个体。我们能够推断出,例如,我是A的一个实例,我们'我会在结果中看到。
import org.mindswap.pellet.jena.PelletReasonerFactory;
import com.hp.hpl.jena.ontology.OntClass;
import com.hp.hpl.jena.ontology.OntModel;
import com.hp.hpl.jena.ontology.OntModelSpec;
import com.hp.hpl.jena.rdf.model.InfModel;
import com.hp.hpl.jena.rdf.model.Model;
import com.hp.hpl.jena.rdf.model.ModelFactory;
import com.hp.hpl.jena.rdf.model.Statement;
import com.hp.hpl.jena.rdf.model.impl.StmtIteratorImpl;
import com.hp.hpl.jena.util.iterator.ExtendedIterator;
import com.hp.hpl.jena.util.iterator.Filter;
public class JustTheDeductionsPlease {
public static void main(String[] args) {
// Create the base model. B is a subclass of A, and i is an instance of B.
String NS = "http://example.org/";
final OntModel model = ModelFactory.createOntologyModel( OntModelSpec.OWL_DL_MEM );
OntClass a = model.createClass( NS+"A" );
OntClass b = model.createClass( NS+"B" );
a.addSubClass( b );
model.createIndividual( NS+"i", b );
// Create the inference model.
InfModel pModel = ModelFactory.createInfModel( PelletReasonerFactory.theInstance().create(), model);
// An iterator over the statements of pModel that *aren't* in the base model.
ExtendedIterator<Statement> stmts = pModel.listStatements().filterDrop( new Filter<Statement>() {
@Override
public boolean accept(Statement o) {
return model.contains( o );
}
});
// For convenient printing, we create a model for the deductions.
// (If stmts were a StmtIterator, we could add it directly. It's not,
// so we end up creating a new StmtIteratorImpl, which is kludgey, but
// it's more efficient than converting the thing to a list.)
Model deductions = ModelFactory.createDefaultModel().add( new StmtIteratorImpl( stmts ));
deductions.write( System.out, "TTL" );
}
}
整个产量有点大,因为有很多纯粹基于OWL的结论。我们看到纯粹演绎结果最明显的地方是我们定义的类和个体。请注意,例如,B被列为其自身和owl的子类:Thing,但不是A(因为那是在原始模型中),并且我有类型owl:Thing和A,但不是B(因为也是在原始模型中):
<http://example.org/A>
<http://www.w3.org/2000/01/rdf-schema#subClassOf>
<http://www.w3.org/2002/07/owl#Thing> , <http://example.org/A> ;
<http://www.w3.org/2002/07/owl#disjointWith>
<http://www.w3.org/2002/07/owl#Nothing> ;
<http://www.w3.org/2002/07/owl#equivalentClass>
<http://example.org/A> .
<http://example.org/B>
<http://www.w3.org/2000/01/rdf-schema#subClassOf>
<http://www.w3.org/2002/07/owl#Thing> , <http://example.org/B> ;
<http://www.w3.org/2002/07/owl#disjointWith>
<http://www.w3.org/2002/07/owl#Nothing> ;
<http://www.w3.org/2002/07/owl#equivalentClass>
<http://example.org/B> .
<http://example.org/i>
a <http://www.w3.org/2002/07/owl#Thing> , <http://example.org/A> ;
<http://www.w3.org/2002/07/owl#sameAs>
<http://example.org/i> .