es.ucm.fdi.gaia.jcolibri.test.test5

Class Test5

java.lang.Object

es.ucm.fdi.gaia.jcolibri.test.test5.Test5

All Implemented Interfaces:

StandardCBRApplication

public class Test5
extends Object
implements StandardCBRApplication

This example shows how to map an attribute to an ontology and compute an ontology-based similarity function in the KNN. jCOLIBRI uses the OntoBridge library to do the mapping an manage the ontologies.
The mapping consists on reading the values of an attribute from the persistence layer and link them with instances of an ontology. In this example we are going to map the values of the Season column in the travelext database with the instances of the concept "SEASON" of the ontology vacation.owl. This ontology contains information about travels and vacations. The SEASON concept organizes the information as shown in this figure:

To map this concept with the attributes in the database we have to change the type of the season attribute in the description to Instance. This type automatically connects with the ontology and links its value to the proper instance. To configure the mapping we have to modify the travelDescription.hbm.xml file pointing out that we are using a Instance:

  ...
        <property name="Season" column="Season">
                <type name="es.ucm.fdi.gaia.jcolibri.connector.databaseutils.GenericUserType">
                        <param name="className">jcolibri.datatypes.Instance</param>
                </type>
        </property>
  ...
 

And finally, in the configure() method of our application we have to setup OntoBridge with the ontology:

      ...
                OntoBridge ob = jcolibri.util.OntoBridgeSingleton.getOntoBridge();
                ob.initWithPelletReasoner();
                OntologyDocument mainOnto = new OntologyDocument("http://gaia.fdi.ucm.es/ontologies/vacation.owl", 
                FileIO.findFile("es/ucm/fdi/gaia/jcolibri/test/test5/vacation.owl").toURI().toString());
                ArrayList subOntologies = new ArrayList();          
                ob.loadOntology(mainOnto, subOntologies, false);
      ...
 

With these changes the ontology is loaded and the values of Season are mapped to its instances. Now, we can compute similarity functions that use information from the ontology. Here we are using the OntCosine() method:

      simConfig.addMapping(new Attribute("Season", TravelDescription.class), new OntCosine());
 

For more information about OntoBridge read its documentation or visit the web page: http://gaia.fdi.ucm.es/projects/ontobridge/.

Version:

1.0

Author:

Juan A. Recio-Garcia

See Also:

TravelDescription, jcolibri.method.retrieve.NNretrieval.similarity.local.ontology.OntCosine

Constructor Summary

Constructors

Constructor and Description
Test5()

Method Summary

Modifier and Type	Method and Description
void	configure()
void	cycle(CBRQuery query)
static void	main(String[] args)
void	postCycle()
CBRCaseBase	preCycle()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Test5

public Test5()

Method Detail

configure

public void configure()
               throws ExecutionException

Specified by:

configure in interface StandardCBRApplication

Throws:

ExecutionException

preCycle

public CBRCaseBase preCycle()
                     throws ExecutionException

Specified by:

preCycle in interface StandardCBRApplication

Throws:

ExecutionException

cycle

public void cycle(CBRQuery query)
           throws ExecutionException

Specified by:

cycle in interface StandardCBRApplication

Throws:

ExecutionException

postCycle

public void postCycle()
               throws ExecutionException

Specified by:

postCycle in interface StandardCBRApplication

Throws:

ExecutionException

main

public static void main(String[] args)

Parameters:

args -