Package de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers

Class MultiSourceDispatcherIncrementalMergeByCluster

java.lang.Object

de.uni_mannheim.informatik.dws.melt.matching_base.multisource.MatcherMultiSourceURL

de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers.MultiSourceDispatcherIncrementalMerge

de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers.MultiSourceDispatcherIncrementalMergeByCluster

All Implemented Interfaces:

IMatcherMultiSourceCaller, MultiSourceDispatcher

Direct Known Subclasses:

MultiSourceDispatcherIncrementalMergeByClusterText

public abstract class MultiSourceDispatcherIncrementalMergeByCluster
extends MultiSourceDispatcherIncrementalMerge

Matches multiple ontologies / knowledge graphs with an incremental merge approach. This means that two ontologies are merged together and then possibly the union is merged with another ontology and so on. The order how they are merged is defined by subclasses.

Field Summary

Fields

Modifier and Type	Field	Description
private Clusterer	clusterer	The cluster implementation.
private ClusterDistance	distance	The cluster distance like euclidean (the default) etc.
private ClusterLinkage	linkage	the cluster linkage method lie single averge or complete.
private static final org.slf4j.Logger	LOGGER

Constructor Summary

Constructors

Constructor	Description
MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher)
MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher, ClusterLinkage linkage)
MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher, ClusterLinkage linkage, ClusterDistance distance)
MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher, ClusterLinkage linkage, ClusterDistance distance, Clusterer clusterer)
MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier, ClusterLinkage linkage)
MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier, ClusterLinkage linkage, ClusterDistance distance)
MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier, ClusterLinkage linkage, ClusterDistance distance, Clusterer clusterer)

Method Summary

Modifier and Type	Method	Description
Clusterer	getClusterer()
abstract double[][]	getClusterFeatures(List<Set<Object>> models, Object parameters)
ClusterDistance	getDistance()
ClusterLinkage	getLinkage()
MergeOrder	getMergeTree(List<Set<Object>> models, Object parameters)	Returns the merging tree (which ontologies are merged in which order).
void	setClusterer(Clusterer clusterer)
void	setDistance(ClusterDistance distance)
void	setLinkage(ClusterLinkage linkage)

Methods inherited from class de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers.MultiSourceDispatcherIncrementalMerge

getCacheFile, getCopyMode, getIntermediateAlignments, getMatcherSupplier, getNumberOfThreads, getSerializedTreeFile, isAddingInformationToUnion, isLeftModelGreater, isRemoveUnusedJenaModels, isSavingIntermediateAlignments, match, match, needsTransitiveClosureForEvaluation, setAddingInformationToUnion, setCacheFile, setCopyMode, setGoldStandard, setGoldStandard, setMatcherSupplier, setNumberOfThreads, setNumberOfThreadsToCpuCores, setRemoveUnusedJenaModels, setSavingIntermediateAlignments, setSerializedTreeFile

Methods inherited from class java.lang.Object

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

Field Details

LOGGER

private static final org.slf4j.Logger LOGGER

linkage

private ClusterLinkage linkage

the cluster linkage method lie single averge or complete.

distance

private ClusterDistance distance

The cluster distance like euclidean (the default) etc.

clusterer

private Clusterer clusterer

The cluster implementation.

Constructor Details

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher,
 ClusterLinkage linkage)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher,
 ClusterLinkage linkage,
 ClusterDistance distance)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Object oneToOneMatcher,
 ClusterLinkage linkage,
 ClusterDistance distance,
 Clusterer clusterer)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier,
 ClusterLinkage linkage)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier,
 ClusterLinkage linkage,
 ClusterDistance distance)

MultiSourceDispatcherIncrementalMergeByCluster

public MultiSourceDispatcherIncrementalMergeByCluster(Supplier<Object> matcherSupplier,
 ClusterLinkage linkage,
 ClusterDistance distance,
 Clusterer clusterer)

Method Details

getMergeTree

public MergeOrder getMergeTree(List<Set<Object>> models,
 Object parameters)

Description copied from class: MultiSourceDispatcherIncrementalMerge

Returns the merging tree (which ontologies are merged in which order). Have a look at the return description to see the merging tree format.

Specified by:

getMergeTree in class MultiSourceDispatcherIncrementalMerge

Parameters:

models - the models

parameters - object representing additional parameters.

Returns:

mergingTree for n models, this is a n-1 by 2 matrix where row i describes the merging of clusters at step i of the clustering. If an element j in the row is less than n, then observation j was merged at this stage. If j ≥ n then the merge was with the cluster formed at the (earlier) stage j-n of the algorithm.

getClusterFeatures

public abstract double[][] getClusterFeatures(List<Set<Object>> models,
 Object parameters)

getLinkage

public ClusterLinkage getLinkage()

setLinkage

public void setLinkage(ClusterLinkage linkage)

getDistance

public ClusterDistance getDistance()

setDistance

public void setDistance(ClusterDistance distance)

getClusterer

public Clusterer getClusterer()

setClusterer

public void setClusterer(Clusterer clusterer)