Evaluating a Generalization of the Winkler Extension in the Context of Ontology Mapping

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Evaluating a Generalization of the Winkler Extension in the Context of Ontology Mapping. Maurice Hermans. Outline. Ontologies Ontology mapping Research question Similarities Compared similarities Proposed extension Evaluation Results. Ontologies. - PowerPoint PPT Presentation

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<p>Evaluating a Generalization of the Winkler Extension in the Context of Ontology Mapping</p> <p>Evaluating a Generalization of the Winkler Extension in the Context of Ontology MappingMaurice Hermans1OntologiesOntology mappingResearch questionSimilaritiesCompared similaritiesProposed extensionEvaluationResultsOutline22-6-20122Bachelor ConferenceProvide a vocabulary of terms that describe a domain of interestThere are several ways in which ontologies can differ:EncodingLexicalSyntacticSemanticSemioticOntologies22-6-20123Bachelor ConferenceKnowledge systems used in the same domain can be built according to different specifications and requirementsThis makes it very hard to exchange data between multiple knowledge systems which do not use the same ontologyOntology mapping frameworks provide knowledge systems with the capacity to exchange information with other knowledge systems which use different ontologies.Ontology mapping22-6-20124Bachelor ConferenceTo what extend can string similarities, applied to concept names, be improved such that these are better suited for ontology mapping?Research Question22-6-20125Bachelor ConferenceLevenshteinUses the number of edit operations required to convert string one string to anotherJaroUses the number of matching characters between two strings and their relative positionJaccardCompares the sets of tokens of two stringsSoftTFIDFIncludes tokens which are similar according to a secondary similarity functionString Similarities22-6-20126Bachelor ConferenceWinkler extension22-6-20127Bachelor ConferenceProposed extension22-6-20128Bachelor ConferenceTwo partial ontologies from the OAEI datasetExample</p> <p>22-6-20129Bachelor ConferenceTwo datasets are used:2010 Ontology Alignment Evaluation InitiativeDataset created by Cohen et al. 2000Similarities are evaluated using precision and recall valuesEvaluation22-6-201210Bachelor ConferenceOAEICohen</p> <p>Optimal weight for both datasets is around 0.8Results</p> <p>22-6-201211Bachelor ConferenceOAEICohenResults</p> <p>22-6-201212Bachelor ConferenceOAEICohenResults</p> <p>22-6-201213Bachelor ConferenceOAEICohenResults</p> <p>22-6-201214Bachelor ConferenceDiscussion22-6-201215Bachelor ConferenceConclusion22-6-201216Bachelor Conference</p>