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## Uses of Class
fr.inrialpes.exmo.ontosim.OntoSimException

Packages that use OntoSimException
fr.inrialpes.exmo.ontosim |
fr.inrialpes.exmo.ontosim.align |
fr.inrialpes.exmo.ontosim.string |

Uses of OntoSimException in fr.inrialpes.exmo.ontosim

Subclasses of OntoSimException in fr.inrialpes.exmo.ontosim
`class` | `NoAlignmentException`

Uses of OntoSimException in fr.inrialpes.exmo.ontosim.align

Methods in fr.inrialpes.exmo.ontosim.align that throw OntoSimException
`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)`
`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

Methods in fr.inrialpes.exmo.ontosim.string that throw OntoSimException
`double` | `JWNLDistances.basicGlossOverlap(String s1, String s2)` NOT FINISHED Compute the overlap between all glosses of two strings
`double` | `JWNLDistances.basicSynonymySimilarity(String s1, String s2)` Evaluate if two terms can be synonym
`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 sense of a term
`void` | `JWNLDistances.Initialize()` Initialize the JWNL API.
`void` | `JWNLDistances.Initialize(String wordnetdir, String wordnetversion)`
`double` | `JWNLDistances.wuPalmerSimilarity(String s1, String s2)` Compute the Wu-Palmer similarity defined by score = 2*depth(lcs(s1,s2)) / (depth(s1) + depth(s2))

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