Package org.aksw.deer.enrichments

Class LinkingEnrichmentOperator

java.lang.Object

org.aksw.faraday_cage.engine.AbstractExecutionNode<T>

org.aksw.faraday_cage.engine.AbstractParameterizedExecutionNode<Model>

org.aksw.deer.enrichments.AbstractParameterizedEnrichmentOperator

org.aksw.deer.enrichments.LinkingEnrichmentOperator

All Implemented Interfaces:

DeerExecutionNode, EnrichmentOperator, ParameterizedEnrichmentOperator, Learnable, ReverseLearnable, SelfConfigurable, ParameterizedDeerExecutionNode, ExecutionNode<Model>, Parameterized, Plugin, org.pf4j.ExtensionPoint

@Extension
public class LinkingEnrichmentOperator
extends AbstractParameterizedEnrichmentOperator
implements SelfConfigurable, ReverseLearnable

An EnrichmentOperator to enrich models with links discovered using LIMES.

The LinkingEnrichmentOperator ...

Nested Class Summary

Nested classes/interfaces inherited from interface org.aksw.faraday_cage.engine.ExecutionNode

ExecutionNode.DegreeBounds

Field Summary

Fields

Modifier and Type	Field	Description
static Property	LINK_SPECIFICATION
static Property	LINKING_PREDICATE
static Property	LINKS_PART
static Property	SELECT_MODE
static Property	SPEC_FILE
static Property	THRESHOLD
static Property	USE_ML

Constructor Summary

Constructors

Constructor	Description
LinkingEnrichmentOperator()

Method Summary

Modifier and Type	Method	Description
ValidatableParameterMap	createParameterMap()	Create an uninitialized ParameterMap to be filled by the ExecutionGraphGenerator.
ExecutionNode.DegreeBounds	getDegreeBounds()
ExecutionNode.DegreeBounds	getLearnableDegreeBounds()
ValidatableParameterMap	learnParameterMap(List<Model> inputs, Model target, ValidatableParameterMap prototype)
double	predictApplicability(List<Model> inputs, Model target)
List<Model>	reverseApply(List<Model> inputs, Model target)
protected List<Model>	safeApply(List<Model> models)
static void	setStaticLearning(Supplier<ValidatableParameterMap> x)

Methods inherited from class org.aksw.deer.enrichments.AbstractParameterizedEnrichmentOperator

deepCopy, getType

Methods inherited from class org.aksw.faraday_cage.engine.AbstractParameterizedExecutionNode

getParameterMap, getValidationModelFor, initParameters, isInitialized

Methods inherited from class org.aksw.faraday_cage.engine.AbstractExecutionNode

apply, getId, getInDegree, getOutDegree, initDegrees, initPluginId

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.aksw.faraday_cage.engine.ExecutionNode

apply, getInDegree, getOutDegree, initDegrees

Methods inherited from interface org.aksw.faraday_cage.engine.Parameterized

getParameterMap, initParameters, isInitialized

Methods inherited from interface org.aksw.faraday_cage.engine.Plugin

getId, initPluginId, isInitialized

Field Details

LINKING_PREDICATE

public static final Property LINKING_PREDICATE

THRESHOLD

public static final Property THRESHOLD

SELECT_MODE

public static final Property SELECT_MODE

LINKS_PART

public static final Property LINKS_PART

SPEC_FILE

public static final Property SPEC_FILE

LINK_SPECIFICATION

public static final Property LINK_SPECIFICATION

USE_ML

public static final Property USE_ML

Constructor Details

LinkingEnrichmentOperator

public LinkingEnrichmentOperator()

Method Details

createParameterMap

public ValidatableParameterMap createParameterMap()

Description copied from interface: Parameterized

Create an uninitialized ParameterMap to be filled by the ExecutionGraphGenerator.

Specified by:

createParameterMap in interface Parameterized

Returns:

uninitialized ParameterMap containing all allowed Parameter

safeApply

protected List<Model> safeApply(List<Model> models)

Specified by:

safeApply in class AbstractExecutionNode<Model>

Parameters:

models -

Returns:

model enriched with links generated from LIMES

getDegreeBounds

public ExecutionNode.DegreeBounds getDegreeBounds()

Specified by:

getDegreeBounds in interface ExecutionNode<Model>

Overrides:

getDegreeBounds in class AbstractParameterizedEnrichmentOperator

predictApplicability

public double predictApplicability(List<Model> inputs,
 Model target)

Specified by:

predictApplicability in interface ReverseLearnable

reverseApply

public List<Model> reverseApply(List<Model> inputs,
 Model target)

Specified by:

reverseApply in interface ReverseLearnable

learnParameterMap

public ValidatableParameterMap learnParameterMap(List<Model> inputs,
 Model target,
 ValidatableParameterMap prototype)

Specified by:

learnParameterMap in interface SelfConfigurable

getLearnableDegreeBounds

public ExecutionNode.DegreeBounds getLearnableDegreeBounds()

Specified by:

getLearnableDegreeBounds in interface Learnable

setStaticLearning

public static void setStaticLearning(Supplier<ValidatableParameterMap> x)