I'm trying to learn how to use Jena. I have found this code on the net. The code runs and it creates an ontology but I have some questions about it.
This is the code:
import java.io.BufferedWriter;
import java.io.FileWriter;
import java.io.IOException;
import com.hp.hpl.jena.ontology.AllValuesFromRestriction;
import com.hp.hpl.jena.ontology.DatatypeProperty;
import com.hp.hpl.jena.ontology.IntersectionClass;
import com.hp.hpl.jena.ontology.MaxCardinalityRestriction;
import com.hp.hpl.jena.ontology.MinCardinalityRestriction;
import com.hp.hpl.jena.ontology.ObjectProperty;
import com.hp.hpl.jena.ontology.OntClass;
import com.hp.hpl.jena.ontology.OntModel;
import com.hp.hpl.jena.rdf.model.ModelFactory;
import com.hp.hpl.jena.rdf.model.RDFList;
import com.hp.hpl.jena.rdf.model.RDFNode;
import com.hp.hpl.jena.vocabulary.XSD;
public class people {
public static void main(String[] args) {
// Create an empty ontology model
OntModel ontModel = ModelFactory.createOntologyModel();
String ns = new String("http://www.example.com/onto1#");
String baseURI = new String("http://www.example.com/onto1");
// Create ‘Person’, ‘MalePerson’ and ‘FemalePerson’ classes
OntClass person = ontModel.createClass(ns + "Person");
OntClass malePerson = ontModel.createClass(ns + "MalePerson");
OntClass femalePerson = ontModel.createClass(ns + "FemalePerson");
// FemalePerson and MalePerson are subclasses of Person
person.addSubClass(malePerson);
person.addSubClass(femalePerson);
// FemalePerson and MalePerson are disjoint
malePerson.addDisjointWith(femalePerson);
femalePerson.addDisjointWith(malePerson);
// Create object property ‘hasSpouse’
ObjectProperty hasSpouse = ontModel.createObjectProperty(ns + "hasSpouse");
hasSpouse.setDomain(person);
hasSpouse.setRange(person);
// Create an AllValuesFromRestriction on hasSpouse:
// MalePersons hasSpouse only FemalePerson
AllValuesFromRestriction onlyFemalePerson = ontModel.createAllValuesFromRestriction(null, hasSpouse, femalePerson);
// A MalePerson can have at most one spouse -> MaxCardinalityRestriction
MaxCardinalityRestriction hasSpouseMaxCard = ontModel.createMaxCardinalityRestriction(null, hasSpouse, 1);
// Constrain MalePerson with the two constraints defined above
malePerson.addSuperClass(onlyFemalePerson);
malePerson.addSuperClass(hasSpouseMaxCard);
// Create class ‘MarriedPerson’
OntClass marriedPerson = ontModel.createClass(ns + "MarriedPerson");
MinCardinalityRestriction mincr = ontModel.createMinCardinalityRestriction(null, hasSpouse, 1);
// A MarriedPerson A Person, AND with at least 1 spouse
// A list must be created, that will hold the Person class
// and the min cardinality restriction
RDFNode[] constraintsArray = { person, mincr };
RDFList constraints = ontModel.createList(constraintsArray);
// The two classes are combined into one intersection class
IntersectionClass ic = ontModel.createIntersectionClass(null, constraints);
// ‘MarriedPerson’ is declared as an equivalent of the
// intersection class defined above
marriedPerson.setEquivalentClass(ic);
ontModel.write(System.out, "RDF/XML");
}
}
When I open it on protegé I see on "marriedPerson" : Person and (hasSpouse min 1 Thing).
The questions are :
how can I set the marriedPerson section in order to have Person and (hasSpouse min 1 Person) ?
At the moment, after running the code the ontology sets the marriedPerson section as Equivalent to Person and hasSpouse min 1 Thing... Is it better to have Person and hasSpouse min 1 Person or 1 Thing?
A class expression like hasSpouse min 1 Person is a qualified cardinality restriction. These didn't exist in the original OWL, but were added in OWL2. Jena doesn't officially support OWL2, so there's no convenient way to add the qualified cardinality restriction.
That said, Jena is an RDF API, not an OWL API, and it is just providing a wrapper around the RDF serialization of OWL ontologies. You can access that serialization directly and create the triples that encode a qualified cardinality restriction.
See How to add qualified cardinality in JENA.
1. (hasSpouse min 1 Person)
This requires a qualified minimal cardinality restriction (i.e. Q instead of N). In Jena there are two different methods to create these.
Replace
ontModel.createMinCardinalityRestriction(null, hasSpouse, 1);
by
ontModel.createMinCardinalityQRestriction(null, hasSpouse, 1, person);
2. Is it better to have Person and (hasSpouse min 1 Person) or 1 Thing?
You already have
hasSpouse.setDomain(person);
which globally asserts that everything that hasSpouse points to is a Person. Hence the qualification in the cardinality restriction is redundant, both versions are semantically equivalent.
The question to answer is: Is the qualification a property of the restriction or is it a property of the object property/role itself.
Related
this is my first question on here and I did a search before forming it, so I hope everything is as required.
I am working on a school assignment in Java. I am able to produce the required output but there are a lot of null instances created first. I don't understand why. Information about the library the professor created for the course and the code are below
Library included with this course: i2c.jar. It can be found here.
included in this Library are the classes Country and CountryDB. The API for the Country class can be found at http://130.63.94.24/~roumani/book/doc/i2c/ca/roumani/i2c/Country.html
The API for the CountryDB class can be found at http://130.63.94.24/~roumani/book/doc/i2c/ca/roumani/i2c/CountryDB.html
I am asked to create a class called Game, using the Country and CountryDB APIs.
The only attribute is db, which is an instance of CountryDB.
The constructor only sets the attribute (db) for this instance to a new CountryDB object.
The class is also meant to include a method (called qa) that follows this pseudocode:
get a reference to the database's capital city list
determine the size of this list. Cal it n.
generate a random number in [0,n) called index.
invoke get(index) on the list to get a random capital city. Call it c
get a reference to the database's data map
invoke get(c) on the map to get a reference to a country. Call it ref.
The method is then supposed to return one of two Strings (which will be clear in the code). Everything works as it should, except I get a lot of "nulls" before the desired output. When made into a List, db has size 241 so I suspect I am creating 241 null instances and 1 proper instance. I have no idea why though. I have tested every line of code in my method and the constructor was dictated by the textbook.
CODE
package ca.yorku.eecs.caps;
import java.util.List;
import java.util.Map;
import ca.roumani.i2c.Country;
import ca.roumani.i2c.CountryDB;
public class Game
{
private CountryDB db;
public Game()
{
this.db = new CountryDB();
}
public String qa()
{
List<String> capitals = db.getCapitals();
System.out.println(capitals.toString());
int n = capitals.size();
System.out.println(n);
int index = ((int) (n * Math.random()));
System.out.println(index);
String c = capitals.get(index);
System.out.println(c);
Map<String, Country> data = db.getData();
Country ref = data.get(c);
if (Math.random() > 0.5)
{
return "What is the capital of " + ref.getName() + "? \n" + ref.getCapital();
}
else
{
return ref.getCapital() + " is the capital of? \n" + ref.getName();
}
}
public static void main(String[] args)
{
Game g = new Game();
System.out.println(g.qa());
}
}
the System.out.println() statements are only there to test when the nulls occur. It clearly happens immediately because my psvm output is 241 nulls (on separate lines) followed by my desired output. Can somebody please tell me what I am doing wrong?
And, more generally (to help more people) how do you implement classes, the constructor of which instantiates another class and sets it as an attribute value?
I appreciate any help. Also, please note, I am not trying to get others to do my work for me. I've spent hours on this and my lab TA also wasn't sure why it happens either. He would have helped me correct it had he known how.
Thank you.
I was exploring the new io.cucumber.datatable.DataTable support introduced in cucumber-jvm:3.0.0. I have cucumber-jvm:3.0.2 installed.
My existing cucumber-jvm:2.4.0 project makes use of a simple design pattern where I pass a table into a step whose last parameter has type Map. This behaviour is no longer supported in version 3.
So I created a test case to model an alternative to this design pattern. It works, but the Map that is returned is unmodifiable. I worked around it but two questions:
Why is the returned map immutable? Am I overlooking an important design principle?
Is there a simpler way to accomplish my basic goal of finding a substitute design pattern?
Here is the code:
# h/t to https://github.com/cucumber/datatable-java/edit/master/datatable/src/test/java/io/cucumber/datatable/DataTableTypeRegistryTableConverterTest.java
Feature: Test simple DataTable converters
#simple_no_header_map_string_string
Scenario: Convert a two column table to a Map
Given a basic street address
| streetAddress | 333 W Camden St |
| cityName | Baltimore |
| stateName | MD |
| postalCode | 21201 |
When I specify Country "US"
Then I can print the complete address
package some.org.stuff.cucumberjvm302testbed;
import cucumber.api.java.en.Given;
import cucumber.api.java.en.Then;
import cucumber.api.java.en.When;
import io.cucumber.datatable.DataTable;
import io.cucumber.datatable.DataTable.TableConverter;
import io.cucumber.datatable.DataTableTypeRegistry;
import io.cucumber.datatable.DataTableTypeRegistryTableConverter;
import io.cucumber.datatable.TypeReference;
import java.lang.reflect.Type;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
public class Cucumber302TestBedSteps {
private Map<String,String> addressMap;
private final DataTableTypeRegistry registry = new DataTableTypeRegistry(Locale.ENGLISH);
private final TableConverter converter = new DataTableTypeRegistryTableConverter(registry);
private static final Type MAP_OF_STRING_TO_STRING = new TypeReference<Map<String, String>>() {
}.getType();
#Given("^a basic street address$")
public void aBasicStreetAddress(DataTable datatable) {
//Here is the workaround to make addressMap mutable
addressMap = new HashMap<String,String>(converter.convert(datatable, MAP_OF_STRING_TO_STRING));
}
#When("^I specify Country \"(.+)\"$")
public void iSpecifyCountry(String inputCountry) {
addressMap.put("country", inputCountry);
}
#Then("^I can print the complete address$")
public void iCanPrintTheCompleteAddress() {
System.out.println("\n\t" + addressMap.get("streetAddress"));
System.out.println("\t" + addressMap.get("cityName"));
System.out.println("\t" + addressMap.get("stateName"));
System.out.println("\t" + addressMap.get("postalCode"));
System.out.println("\t" + addressMap.get("country") + "\n");
}
}
I looked at Cucumber-JVM 3 - Convert DataTable to single object using asMap(). I did implement that solution but I have some junior testers so I was looking for something simpler.
You may find this pattern to be a bit more to your liking:
private final Map<String,String> addressMap = new HashMap<>();
#Given("^a basic street address$")
public void aBasicStreetAddress(Map<String,String> address) {
addressMap.putAll(address);
}
#When("^I specify Country \"(.+)\"$")
public void iSpecifyCountry(String inputCountry) {
addressMap.put("country", inputCountry);
}
#Then("^I can print the complete address$")
public void iCanPrintTheCompleteAddress() {
System.out.println("\n\t" + addressMap.get("streetAddress"));
System.out.println("\t" + addressMap.get("cityName"));
System.out.println("\t" + addressMap.get("stateName"));
System.out.println("\t" + addressMap.get("postalCode"));
System.out.println("\t" + addressMap.get("country") + "\n");
}
Rather then setting the addressMap in the given step we define it as an empty map first. This ensures that there is always a sensible default present. This makes steps more flexible because they can now be used in any order and multiple times. Admittedly of little value in this specific scenario but in general quite usefull.
Then in the given step we set the last parameter to Map<String,String> address. Cucumber will transform the DataTable into a map. We use .putAll to copy all fields from the address into the addressMap.
The address is immutable to prevent modification of the original input by methods with side effects. This is a useful mechanism when the original input is used later to make assertions. Unless the object was explicitly copied you can rely on the fact that it was not modified. This makes code easier to read.
My existing cucumber-jvm:2.4.0 project makes use of a simple design pattern where I pass a table into a step whose last parameter has type Map. This behaviour is no longer supported in version 3.
This behavior is still supported. What made you think it wasn't?
private final DataTableTypeRegistry registry = new DataTableTypeRegistry(Locale.ENGLISH);
private final TableConverter converter = new DataTableTypeRegistryTableConverter(registry);
private static final Type MAP_OF_STRING_TO_STRING = new TypeReference>() {
}.getType();
You don't need this here. Have a look at the TypeRegistryConfigurer. Though keep in mind that Maps and Lists of basic types have build in support.
I have a scikit model that I'm using in my java app using JPMML. I'm trying to set the InputFields using the name of the column that was used during training, but "inField.getName().getValue()" is obfuscated to "x{#}". Is there anyway i could map "x{#}" back to the original feature/attribute name?
Map<FieldName, FieldValue> arguments = new LinkedHashMap<>();
or (InputField inField : patternEvaluator.getInputFields()) {
int value = activeFeatures.contains(inField.getName().getValue()) ? 1 : 0;
FieldValue inputFieldValue = inField.prepare(value);
arguments.put(inField.getName(), inputFieldValue);
}
Map<FieldName, ?> results = patternEvaluator.evaluate(arguments);
Here's how I'm generating the modal
from sklearn2pmml import PMMLPipeline
from sklearn2pmml import PMMLPipeline
import os
import pandas as pd
from sklearn.pipeline import Pipeline
import numpy as np
data = pd.read_csv('/pydata/training.csv')
X = data[data.keys()[:-1]].as_matrix()
y = data['classname'].as_matrix()
X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.3,random_state=0)
estimators = [("read", RandomForestClassifier(n_jobs=5,n_estimators=200, max_features='auto'))]
pipe = PMMLPipeline(estimators)
pipe.fit(X_train,y_train)
pipe.active_fields = np.array(data.columns)
sklearn2pmml(pipe, "/pydata/model.pmml", with_repr = True)
Thanks
Does the PMML document contain actual field names at all? Open it in a text editor, and see what are the values of /PMML/DataDictionary/DataField#name attributes.
Your question indicates that the conversion from Scikit-Learn to PMML was incomplete, because it didn't include information about active field (aka input field) names. In that case they are assumed to be x1, x2, .., xn.
Your pipeline only includes the estimator, that is why the names are lost. You have to include all the preprocessing steps as well in order to get them into the PMML.
Let's assume you do not do any preprocessing at all, then that is probably what you need (I do not repeat parts of your code which are required in this snippet):
nones = [(d, None) for d in data.columns]
mapper = DataFrameMapper(nones,df_out=True)
lm = PMMLPipeline([
("mapper", mapper),
("estimator", estimators)
])
lm.fit(X_train,y_train)
sklearn2pmml(lm, "ScikitLearnNew.pmml", with_repr=True)
In case you do require some preprocessing on your data, instead of None you can use any other transformator (e.g. LabelBinarizer). But the preprocessing has to be happening inside the pipeline in order to be included in the PMML.
I'm writing a program in Java that exploits the OWL API version 3.1.0. I have a String that represents an axiom using the Manchester OWL Syntax, I would like to convert this string in a OWLAxiom object, because I need to add the resulting axiom into an ontology using the method addAxiom(OWLOntology owl, OWLAxiom axiom) (It's a method of OWLOntologyManager). How can I do that?
How about something like the following Java code? Note that I'm parsing a complete, but small, ontology. If you're actually expecting just some Manchester text that won't be parsable as a complete ontology, you may need to prepend some standard prefix to everything. That's more of a concern for the particular application though. You'll also need to make sure that you're getting the kinds of axioms that you're interested in. There will, necessarily, be declaration axioms (e.g., that Person is a class), but you're more likely interested in TBox and ABox axioms, so I've added some notes about how you can get those.
One point to note is that if you're only trying to add the axioms to an existing ontology, that's what the OWLParser methods do, although the Javadoc doesn't make this particularly clear (in my opinion). The documentation about OWLParser says that
An OWLParser parses an ontology document into an OWL API object representation of an ontology.
and that's not strictly true. If the ontology argument to parse() already has content, and parse() doesn't remove it, then the ontology argument ends up being an object representation of a superset of the ontology document (it's the ontology document plus the prior content). Fortunately, though, this is exactly what you want in your case: you want to read a snippet of text and add it to an existing ontology.
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;
import org.coode.owlapi.manchesterowlsyntax.ManchesterOWLSyntaxParserFactory;
import org.semanticweb.owlapi.apibinding.OWLManager;
import org.semanticweb.owlapi.io.OWLParser;
import org.semanticweb.owlapi.io.StreamDocumentSource;
import org.semanticweb.owlapi.model.OWLAxiom;
import org.semanticweb.owlapi.model.OWLOntology;
import org.semanticweb.owlapi.model.OWLOntologyCreationException;
import org.semanticweb.owlapi.model.OWLOntologyManager;
public class ReadManchesterString {
public static void main(String[] args) throws OWLOntologyCreationException, IOException {
// Get a manager and create an empty ontology, and a parser that
// can read Manchester syntax.
final OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
final OWLOntology ontology = manager.createOntology();
final OWLParser parser = new ManchesterOWLSyntaxParserFactory().createParser( manager );
// A small OWL ontology in the Manchester syntax.
final String content = "" +
"Prefix: so: <http://stackoverflow.com/q/21005908/1281433/>\n" +
"Class: so:Person\n" +
"Class: so:Young\n" +
"\n" +
"Class: so:Teenager\n" +
" SubClassOf: (so:Person and so:Young)\n" +
"";
// Create an input stream from the ontology, and use the parser to read its
// contents into the ontology.
try ( final InputStream in = new ByteArrayInputStream( content.getBytes() ) ) {
parser.parse( new StreamDocumentSource( in ), ontology );
}
// Iterate over the axioms of the ontology. There are more than just the subclass
// axiom, because the class declarations are also axioms. All in all, there are
// four: the subclass axiom and three declarations of named classes.
System.out.println( "== All Axioms: ==" );
for ( final OWLAxiom axiom : ontology.getAxioms() ) {
System.out.println( axiom );
}
// You can iterate over more specific axiom types, though. For instance,
// you could just iterate over the TBox axioms, in which case you'll just
// get the one subclass axiom. You could also iterate over
// ontology.getABoxAxioms() to get ABox axioms.
System.out.println( "== ABox Axioms: ==" );
for ( final OWLAxiom axiom : ontology.getTBoxAxioms( false ) ) {
System.out.println( axiom );
}
}
}
The output is:
== All Axioms: ==
SubClassOf(<http://stackoverflow.com/q/21005908/1281433/Teenager> ObjectIntersectionOf(<http://stackoverflow.com/q/21005908/1281433/Person> <http://stackoverflow.com/q/21005908/1281433/Young>))
Declaration(Class(<http://stackoverflow.com/q/21005908/1281433/Person>))
Declaration(Class(<http://stackoverflow.com/q/21005908/1281433/Young>))
Declaration(Class(<http://stackoverflow.com/q/21005908/1281433/Teenager>))
== ABox Axioms: ==
SubClassOf(<http://stackoverflow.com/q/21005908/1281433/Teenager> ObjectIntersectionOf(<http://stackoverflow.com/q/21005908/1281433/Person> <http://stackoverflow.com/q/21005908/1281433/Young>))
I have some data coming in from a RabbitMQ. The data is formatted as triples, so a message from the queue could look something like this:
:Tom foaf:knows :Anna
where : is the standard namespace of the ontology into which I want to import the data, but other prefixes from imports are also possible. The triples consist of subject, property/predicate and object and I know in each message which is which.
On the receiving side, I have a Java program with an OWLOntology object that represents the ontology where the newly arriving triples should be stored temporarily for reasoning and other stuff.
I kind of managed to get the triples into a Jena OntModel but that's where it ends. I tried to use OWLRDFConsumer but I could not find anything about how to apply it.
My function looks something like this:
public void addTriple(RDFTriple triple) {
//OntModel model = ModelFactory.createOntologyModel();
String subject = triple.getSubject().toString();
subject = subject.substring(1,subject.length()-1);
Resource s = ResourceFactory.createResource(subject);
String predicate = triple.getPredicate().toString();
predicate = predicate.substring(1,predicate.length()-1);
Property p = ResourceFactory.createProperty(predicate);
String object = triple.getObject().toString();
object = object.substring(1,object.length()-1);
RDFNode o = ResourceFactory.createResource(object);
Statement statement = ResourceFactory.createStatement(s, p, o);
//model.add(statement);
System.out.println(statement.toString());
}
I did the substring operations because the RDFTriple class adds <> around the arguments of the triple and the constructor of Statement fails as a consequence.
If anybody could point me to an example that would be great. Maybe there's a much better way that I haven't thought of to achieve the same thing?
It seems like the OWLRDFConsumer is generally used to connect the RDF parsers with OWL-aware processors. The following code seems to work, though, as I've noted in the comments, there are a couple of places where I needed an argument and put in the only available thing I could.
The following code: creates an ontology; declares two named individuals, Tom and Anna; declares an object property, likes; and declares a data property, age. Once these are declared we print the ontology just to make sure that it's what we expect. Then it creates an OWLRDFConsumer. The consumer constructor needs an ontology, an AnonymousNodeChecker, and an OWLOntologyLoaderConfiguration. For the configuration, I just used one created by the no-argument constructor, and I think that's OK. For the node checker, the only convenient implementer is the TurtleParser, so I created one of those, passing null as the Reader. I think this will be OK, since the parser won't be called to read anything. Then the consumer's handle(IRI,IRI,IRI) and handle(IRI,IRI,OWLLiteral) methods are used to process triples one at a time. We add the triples
:Tom :likes :Anna
:Tom :age 35
and then print out the ontology again to ensure that the assertions got added. Since you've already been getting the RDFTriples, you should be able to pull out the arguments that handle() needs. Before processing the triples, the ontology contained:
<NamedIndividual rdf:about="http://example.org/Tom"/>
and afterward this:
<NamedIndividual rdf:about="http://example.org/Tom">
<example:age rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">35</example:age>
<example:likes rdf:resource="http://example.org/Anna"/>
</NamedIndividual>
Here's the code:
import java.io.Reader;
import org.coode.owlapi.rdfxml.parser.OWLRDFConsumer;
import org.semanticweb.owlapi.apibinding.OWLManager;
import org.semanticweb.owlapi.model.IRI;
import org.semanticweb.owlapi.model.OWLDataFactory;
import org.semanticweb.owlapi.model.OWLDataProperty;
import org.semanticweb.owlapi.model.OWLEntity;
import org.semanticweb.owlapi.model.OWLNamedIndividual;
import org.semanticweb.owlapi.model.OWLObjectProperty;
import org.semanticweb.owlapi.model.OWLOntology;
import org.semanticweb.owlapi.model.OWLOntologyCreationException;
import org.semanticweb.owlapi.model.OWLOntologyLoaderConfiguration;
import org.semanticweb.owlapi.model.OWLOntologyManager;
import org.semanticweb.owlapi.model.OWLOntologyStorageException;
import uk.ac.manchester.cs.owl.owlapi.turtle.parser.TurtleParser;
public class ExampleOWLRDFConsumer {
public static void main(String[] args) throws OWLOntologyCreationException, OWLOntologyStorageException {
// Create an ontology.
OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
OWLDataFactory factory = manager.getOWLDataFactory();
OWLOntology ontology = manager.createOntology();
// Create some named individuals and an object property.
String ns = "http://example.org/";
OWLNamedIndividual tom = factory.getOWLNamedIndividual( IRI.create( ns+"Tom" ));
OWLObjectProperty likes = factory.getOWLObjectProperty( IRI.create( ns+"likes" ));
OWLDataProperty age = factory.getOWLDataProperty( IRI.create( ns+"age" ));
OWLNamedIndividual anna = factory.getOWLNamedIndividual( IRI.create( ns+"Anna" ));
// Add the declarations axioms to the ontology so that the triples involving
// these are understood (otherwise the triples will be ignored).
for ( OWLEntity entity : new OWLEntity[] { tom, likes, age, anna } ) {
manager.addAxiom( ontology, factory.getOWLDeclarationAxiom( entity ));
}
// Print the the ontology to see that the entities are declared.
// The important result is
// <NamedIndividual rdf:about="http://example.org/Tom"/>
// with no properties
manager.saveOntology( ontology, System.out );
// Create an OWLRDFConsumer for the ontology. TurtleParser implements AnonymousNodeChecker, so
// it was a candidate for use here (but I make no guarantees about whether it's appropriate to
// do this). Since it won't be reading anything, we pass it a null InputStream, and this doesn't
// *seem* to cause any problem. Hopefully the default OWLOntologyLoaderConfiguration is OK, too.
OWLRDFConsumer consumer = new OWLRDFConsumer( ontology, new TurtleParser((Reader) null), new OWLOntologyLoaderConfiguration() );
// The consumer handles (IRI,IRI,IRI) and (IRI,IRI,OWLLiteral) triples.
consumer.handle( tom.getIRI(), likes.getIRI(), anna.getIRI() );
consumer.handle( tom.getIRI(), age.getIRI(), factory.getOWLLiteral( 35 ));
// Print the ontology to see the new object and data property assertions. The import contents is
// still Tom:
// <NamedIndividual rdf:about="http://example.org/Tom">
// <example:age rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">35</example:age>
// <example:likes rdf:resource="http://example.org/Anna"/>
// </NamedIndividual>
manager.saveOntology( ontology, System.out );
}
}
In ONT-API, which is an extended Jena-based implementation of OWL-API, it is quite simple:
OWLOntologyManager manager = OntManagers.createONT();
OWLOntology ontology = manager.createOntology(IRI.create("http://example.com#test"));
((Ontology)ontology).asGraphModel().createResource("http://example.com#clazz1").addProperty(RDF.type, OWL.Class);
ontology.axioms(AxiomType.DECLARATION).forEach(System.out::println);
For more information see ONT-API wiki, examples