OperaV1, Main, Exploration, bibRecord, 000D87

Combining Logic and Probabilities for Discovering Mappings between Taxonomies

Identifieur interne : 000D87 ( Main/Exploration ); précédent : 000D86; suivant : 000D88

Combining Logic and Probabilities for Discovering Mappings between Taxonomies

Auteurs : Rémi Tournaire [France] ; Jean-Marc Petit [France] ; Marie-Christine Rousset [France] ; Alexandre Termier [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.

RBID : ISTEX:A18DF150A128A2F03EAB9BCBDBCC8B1236807C41

Abstract

Abstract: In this paper, we investigate a principled approach for defining and discovering probabilistic mappings between two taxonomies. First, we compare two ways of modeling probabilistic mappings which are compatible with the logical constraints declared in each taxonomy. Then we describe a generate and test algorithm which minimizes the number of calls to the probability estimator for determining those mappings whose probability exceeds a certain threshold. Finally, we provide an experimental analysis of this approach.

Url:

https://api.istex.fr/document/A18DF150A128A2F03EAB9BCBDBCC8B1236807C41/fulltext/pdf

DOI: 10.1007/978-3-642-15280-1_48

Affiliations:

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Le document en format XML

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Combining Logic and Probabilities for Discovering Mappings between Taxonomies

Combining Logic and Probabilities for Discovering Mappings between Taxonomies

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

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