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OntoSim 2.3 | |||||||||
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Packages that use OntoSimException | |
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fr.inrialpes.exmo.ontosim | |
fr.inrialpes.exmo.ontosim.align | |
fr.inrialpes.exmo.ontosim.string |
Uses of OntoSimException in fr.inrialpes.exmo.ontosim |
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Subclasses of OntoSimException in fr.inrialpes.exmo.ontosim | |
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class |
NoAlignmentException
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Uses of OntoSimException in fr.inrialpes.exmo.ontosim.align |
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Methods in fr.inrialpes.exmo.ontosim.align that throw OntoSimException | |
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double |
AlignmentGlobalSum.getMeasureValue(fr.inrialpes.exmo.ontowrap.LoadedOntology<?> o1,
fr.inrialpes.exmo.ontowrap.LoadedOntology<?> o2,
org.semanticweb.owl.align.Alignment al)
Similarity version of delta_gm issued from the j.euzenat paper |
double |
ASAbstractCoverageTraversal.getValue(fr.inrialpes.exmo.ontowrap.Ontology o1,
fr.inrialpes.exmo.ontowrap.Ontology o2)
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private void |
ASShortestPathMeasure.init()
This function does compute the values for all |
Set<URI> |
ASAbstractCoverageTraversal.objectsToPreserve(fr.inrialpes.exmo.ontowrap.Ontology o1)
returns the set of URI of objects belonging to the initial ontology. |
Uses of OntoSimException in fr.inrialpes.exmo.ontosim.string |
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Methods in fr.inrialpes.exmo.ontosim.string that throw OntoSimException | |
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double |
JWNLDistances.basicGlossOverlap(String s1,
String s2)
Compute the overlap between all glosses of two strings |
double |
JWNLDistances.basicSynonymySimilarity(String s1,
String s2)
Evaluate if two terms can be synonym |
protected Collection<String> |
JWNLDistances.computeGlossValue(String s)
Cache method for glosses |
protected Set<net.didion.jwnl.data.Synset> |
JWNLDistances.computeSynsets(String s)
Cache method for synsets |
double |
JWNLDistances.cosynonymySimilarity(String s1,
String s2)
Compute the proportion of common synset between two words |
(package private) Set<net.didion.jwnl.data.Synset> |
JWNLDistances.getAllSenses(String term)
Retrieve all WordNet senses of a term |
void |
JWNLDistances.Initialize()
Initialize the JWNL API. |
void |
JWNLDistances.Initialize(String wordnetdir,
String wordnetversion)
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double |
JWNLDistances.wuPalmerSimilarity(String s1,
String s2)
Compute the Wu-Palmer similarity defined by score = 2*depth(lcs(s1,s2)) / (depth(s1) + depth(s2)) |
Constructors in fr.inrialpes.exmo.ontosim.string that throw OntoSimException | |
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JWNLDistances()
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OntoSim 2.3 | |||||||||
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