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Combining Logic and Probabilities for Discovering Mappings between Taxonomies (short paper)

Remi Tournaire 1 Jean-Marc Petit 2 Marie-Christine Rousset 1 Alexandre Termier 1
1 HADAS - Heterogeneous and Adaptive distributed DAta management Systems
LIG - Laboratoire d'Informatique de Grenoble [2007-2015]
2 BD - Base de Données
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.
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Submitted on : Friday, February 28, 2014 - 11:12:17 AM
Last modification on : Thursday, July 9, 2020 - 9:44:40 AM


  • HAL Id : hal-00953266, version 1


Remi Tournaire, Jean-Marc Petit, Marie-Christine Rousset, Alexandre Termier. Combining Logic and Probabilities for Discovering Mappings between Taxonomies (short paper). 7th Extented Semantic Web Conference, 2010, Heraklion, Greece. pp.not available. ⟨hal-00953266⟩



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