Package org.aksw.limes.core.ml.algorithm.euclid

Class BooleanSelfConfigurator

java.lang.Object

org.aksw.limes.core.ml.algorithm.euclid.LinearSelfConfigurator

org.aksw.limes.core.ml.algorithm.euclid.BooleanSelfConfigurator

All Implemented Interfaces:

ISelfConfigurator

Direct Known Subclasses:

MeshBasedSelfConfigurator

public class BooleanSelfConfigurator
extends LinearSelfConfigurator

Boolean implementation of a self-configurator (Euclid) to (unsupervised) learn LS based upon a boolean combination of arbitrary simple classifiers, each representing an atomic LS.

Author:

Mohamed Sherif (sherif@informatik.uni-leipzig.de), Klaus Lyko (lyko@informatik.uni-leipzig.de)

Nested Class Summary

Nested classes/interfaces inherited from class org.aksw.limes.core.ml.algorithm.euclid.LinearSelfConfigurator

LinearSelfConfigurator.QMeasureType, LinearSelfConfigurator.Strategy

Field Summary

Fields inherited from class org.aksw.limes.core.ml.algorithm.euclid.LinearSelfConfigurator

asked, ITERATIONS_MAX, kappa, learningRate, min_coverage, MIN_THRESHOLD, source, STRICT, target

Constructor Summary

Constructors

Constructor	Description
BooleanSelfConfigurator(ACache source, ACache target)	Constructor
BooleanSelfConfigurator(ACache source, ACache target, double minCoverage, double beta)	Constructor
BooleanSelfConfigurator(ACache source, ACache target, double minCoverage, double beta, Map<String,String> measures)	Constructor

Method Summary

Modifier and Type	Method	Description
ComplexClassifier	computeNext(ComplexClassifier classifier, int index)	Aims to improve upon a particular classifier by checking whether adding a delta to its similarity worsens the total classifer
static AMapping	getIntersection(List<AMapping> mappings)	Computes the intersection of several mappings
AMapping	getMapping(List<SimpleClassifier> classifiers)	Runs classifiers and retrieves the correspoding mappings
List<SimpleClassifier>	learnClassifer(List<SimpleClassifier> classifiers)

Methods inherited from class org.aksw.limes.core.ml.algorithm.euclid.LinearSelfConfigurator

computeMeasure, computeNext, computeQuality, execute, executeClassifier, getAllInitialClassifiers, getBestInitialClassifiers, getBestInitialClassifiers, getBestOneToOneMapping, getInitialOverallClassifiers, getLinkSpecification, getMeasure, getOverallMapping, getPropertyStats, getPropertyType, getResults, getSource, getTarget, getThreshold, minimizeToKnow, normalizeClassifiers, setDefaultMeasures, setMeasure, setMeasure, setPFMType, setSource, setSupervisedBatch, setTarget

Methods inherited from class java.lang.Object

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

Constructor Detail

BooleanSelfConfigurator

public BooleanSelfConfigurator(ACache source,
                               ACache target)

Constructor

Parameters:

source - Source cache

target - Target cache

BooleanSelfConfigurator

public BooleanSelfConfigurator(ACache source,
                               ACache target,
                               double minCoverage,
                               double beta)

Constructor

Parameters:

source - Source cache

target - Target cache

minCoverage - Minimal coverage for a property to be considered for linking

beta - Beta value for computing F_beta *

BooleanSelfConfigurator

public BooleanSelfConfigurator(ACache source,
                               ACache target,
                               double minCoverage,
                               double beta,
                               Map<String,String> measures)

Constructor

Parameters:

source - Source cache

target - Target cache

minCoverage - Minimal coverage for a property to be considered for linking

beta - Beta value for computing F_beta

measures - Atomic measures

Method Detail

computeNext

public ComplexClassifier computeNext(ComplexClassifier classifier,
                                     int index)

Aims to improve upon a particular classifier by checking whether adding a delta to its similarity worsens the total classifer

Returns:

Improved classifiers and their mapping

getMapping

public AMapping getMapping(List<SimpleClassifier> classifiers)

Runs classifiers and retrieves the correspoding mappings

Overrides:

getMapping in class LinearSelfConfigurator

Parameters:

classifiers - List of classifiers

Returns:

AMapping generated by the list of classifiers

getIntersection

public static AMapping getIntersection(List<AMapping> mappings)

Computes the intersection of several mappings

Parameters:

mappings - Maps classifiers to the resulting mappings

Returns:

Intersection of the mappings

learnClassifer

public List<SimpleClassifier> learnClassifer(List<SimpleClassifier> classifiers)

Overrides:

learnClassifer in class LinearSelfConfigurator