org.aksw.limes.core.ml.algorithm.eagle.coala

Class Clustering

java.lang.Object

org.aksw.limes.core.ml.algorithm.eagle.coala.Clustering

public class Clustering
extends Object

Author:

Klaus Lyko (lyko@informatik.uni-leipzig.de)

Constructor Summary

Constructors

Constructor and Description
Clustering(ACache sourceCache, ACache targetCache, PropertyMapping propMap)

Method Summary

Modifier and Type	Method and Description
weka.core.Instances	computeSimilaritySpace(List<ALDecider.Triple> candidates) We first have to compute a similarity space for each candidate.
static void	main(String[] args)
static void	wekaTest()

Methods inherited from class java.lang.Object

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

Constructor Detail

Clustering

public Clustering(ACache sourceCache,
                  ACache targetCache,
                  PropertyMapping propMap)

Method Detail

computeSimilaritySpace

public weka.core.Instances computeSimilaritySpace(List<ALDecider.Triple> candidates)

We first have to compute a similarity space for each candidate. That is, we compute a out of a list of most controversy candidate links (Triples, value close to 0.5). a vector of similarity values. E.g. for every String property.

Parameters:

candidates - Triples given by a committee, are source - target URIs and a double value giving information if its regarded as a match.

wekaTest

public static void wekaTest()
                     throws Exception

Throws:

Exception

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception