Combining Logic and Probabilities for Discovering Mappings Between Taxonomies

Rémi Tournaire 1 Jean-Marc Petit 2 Marie-Christine Rousset 1 Alexandre Termier 1
1 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
2 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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.
Type de document :
Communication dans un congrès
Proceedings of the 4th International Conference on Knowledge Science, Engineering and Management, 2010, Belfast, Ireland. Springer-Verlag, pp.530--542, 2010, KSEM'10
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https://hal.inria.fr/hal-00953265
Contributeur : Fabrice Jouanot <>
Soumis le : vendredi 28 février 2014 - 11:12:16
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03

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  • HAL Id : hal-00953265, version 1

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Rémi Tournaire, Jean-Marc Petit, Marie-Christine Rousset, Alexandre Termier. Combining Logic and Probabilities for Discovering Mappings Between Taxonomies. Proceedings of the 4th International Conference on Knowledge Science, Engineering and Management, 2010, Belfast, Ireland. Springer-Verlag, pp.530--542, 2010, KSEM'10. 〈hal-00953265〉

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