Package de.uni_trier.wi2.procake.similarity

Interface SimilarityMeasure

All Known Subinterfaces:

SMAggregate, SMAggregateAverage, SMAggregateEuclidian, SMAggregateKMaximum, SMAggregateKMinimum, SMAggregateMaximum, SMAggregateMinimum, SMAggregateMinkowski, SMAggregateWeighted, SMCollection, SMCollectionIsolatedMapping, SMCollectionMapping, SMGraphAStar, SMGraphAStarOne, SMGraphAStarThree, SMGraphAStarTwo, SMGraphDTW, SMGraphSWA, SMInterval, SMListCorrectness, SMListDP, SMListDTW, SMListMapping, SMListSWA, SMNESTGraphItem, SMNumeric, SMNumericExponential, SMNumericFuzzy, SMNumericLinear, SMNumericSigmoid, SMNumericThreshold, SMObjectEqual, SMOntology, SMOntologyAggAvg, SMOntologyDirectGroup, SMOntologyFbMS, SMOntologyFbSanchez, SMOntologyIndirectGroup, SMOntologyIsEquivalent, SMOntologyPath, SMOntologySpRada, SMOntologySpSlimani, SMOntologySpWuPalmer, SMSimpleTask, SMSimpleWorkflow, SMString, SMStringCosine, SMStringEqual, SMStringIsolatedMapping, SMStringJaroWinkler, SMStringLevenshtein, SMStringNGram, SMStringRegexp, SMStringTermCount, SMStringWildcard, SMTableDataClass, SMTableDataObject, SMTaxonomy, SMTaxonomyClassic, SMTaxonomyClassicUserWeights, SMTaxonomyNodeHeight, SMTaxonomyPath, SMWorkflowEqual, SMWorkflowLevenshtein

All Known Implementing Classes:

SimilarityMeasureImpl, SMAggregateAverageImpl, SMAggregateEuclidianImpl, SMAggregateImpl, SMAggregateKMaximumImpl, SMAggregateKMinimumImpl, SMAggregateMaximumImpl, SMAggregateMinimumImpl, SMAggregateMinkowskiImpl, SMAggregateWeightedImpl, SMCollectionImpl, SMCollectionIsolatedMappingImpl, SMCollectionMappingImpl, SMGraphAStarImpl, SMGraphAStarOneImpl, SMGraphAStarThreeImpl, SMGraphAStarTwoImpl, SMGraphDTWImpl, SMGraphSWAImpl, SMIntervalImpl, SMListCorrectnessImpl, SMListDPImpl, SMListDTWImpl, SMListMappingImpl, SMListSWAImpl, SMNESTGraphItemImpl, SMNumericExponentialImpl, SMNumericFuzzyImpl, SMNumericImpl, SMNumericLinearImpl, SMNumericSigmoidImpl, SMNumericThresholdImpl, SMObjectEqualImpl, SMOntologyAggAvgImpl, SMOntologyDirectGroupImpl, SMOntologyFbMSImpl, SMOntologyFbSanchezImpl, SMOntologyImpl, SMOntologyIndirectGroupImpl, SMOntologyIsEquivalentImpl, SMOntologyPathImpl, SMOntologySpRadaImpl, SMOntologySpSlimaniImpl, SMOntologySpWuPalmerImpl, SMSimpleTaskImpl, SMSimpleWorkflowImpl, SMStringCosineImpl, SMStringEqualImpl, SMStringImpl, SMStringIsolatedMappingImpl, SMStringJaroWinklerImpl, SMStringLevenshteinImpl, SMStringNGramImpl, SMStringRegexpImpl, SMStringTermCountImpl, SMStringWildcardImpl, SMTableDataClassImpl, SMTableDataObjectImpl, SMTaxonomyClassicImpl, SMTaxonomyClassicUserWeightsImpl, SMTaxonomyImpl, SMTaxonomyNodeHeightImpl, SMTaxonomyPathImpl, SMTaxonomyWeightedNodes, SMWorkflowEqualImpl, SMWorkflowLevenshteinImpl

public interface SimilarityMeasure

Main interface for all similarity measures.

All similarity measures are implementing this interface. It provides some common methods that are required for all similarity measure.

Author:

Rainer Maximini

Field Summary

Fields

Modifier and Type	Field	Description
static final String	LOG_ORDER_NAME_NOT_FOUND

Method Summary

Modifier and Type	Method	Description
Similarity	compute(DataObject queryObject, DataObject caseObject, SimilarityValuator valuator)
DataClass	getDataClass()	Each similarity measure is defined for one DataClass.
String	getName()	Each similarity measure has an unique name for the defined DataClass.
String	getSystemName()	The system name can be used to distinguish the similarity measures.
boolean	isForceOverride()
boolean	isReusable()
void	setForceOverride(boolean forceOverride)	set if this measure should override an existing measure of same name

Field Details

LOG_ORDER_NAME_NOT_FOUND

static final String LOG_ORDER_NAME_NOT_FOUND

See Also:

• Constant Field Values

Method Details

compute

Similarity compute(DataObject queryObject,
 DataObject caseObject,
 SimilarityValuator valuator)

Parameters:

queryObject -

caseObject -

valuator -

Returns:

getDataClass

DataClass getDataClass()

Each similarity measure is defined for one DataClass. The DataClass must be set during initialisation with SimilarityModel.createSimilarityMeasure(String, DataClass).

Returns:

The DataClassfor wich this similarity measure is defined.

getName

String getName()

Each similarity measure has an unique name for the defined DataClass. The name must be given during registration, see SimilarityModel.addSimilarityMeasure(SimilarityMeasure, String).

Returns:

The current name of the similarity measure

getSystemName

String getSystemName()

The system name can be used to distinguish the similarity measures. Each similarity measure that can be instantiated contains a static final field called NAME representing the system name, e.g., SMAggregateEuclidian.NAME

The system name must also be given during initialization, see SimilarityModel.createSimilarityMeasure(String, DataClass).

Returns:

The system name of the similarity measure. This is equal to SimilarityMeasure.NAME.

isForceOverride

boolean isForceOverride()

Returns:

true if this measure should override an existing measure of same name

setForceOverride

void setForceOverride(boolean forceOverride)

set if this measure should override an existing measure of same name

isReusable

boolean isReusable()

Returns:

true if the measure is reusable