Graph Based Knowledge Representation and Reasoning: Practical AI Applications

Madalina Croitoru 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Résumé : My research interests are in the field of knowledge representation and reasoning (KRR). During and since my PhD (throughout my post-doc and lectureship) I have investigated graph-based KRR languages applied in different Artificial Intelligence (AI) fields. Syntactically, the objects I am interested in are graphs. Semantically these graphs represent different subsets of logics such that the logic operations are sound and complete with graph operations. This adds logical background to the well-known modelling capacity of graphs
Mots-clés : KRR AI
Type de document :
HDR
Artificial Intelligence [cs.AI]. Université Montpellier 2, 2014
Liste complète des métadonnées

Littérature citée [203 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/tel-01110342
Contributeur : Madalina Croitoru <>
Soumis le : mardi 27 janvier 2015 - 22:50:07
Dernière modification le : samedi 27 janvier 2018 - 01:30:49
Document(s) archivé(s) le : mardi 28 avril 2015 - 11:25:58

Identifiants

  • HAL Id : tel-01110342, version 1

Collections

Citation

Madalina Croitoru. Graph Based Knowledge Representation and Reasoning: Practical AI Applications. Artificial Intelligence [cs.AI]. Université Montpellier 2, 2014. 〈tel-01110342〉

Partager

Métriques

Consultations de la notice

610

Téléchargements de fichiers

1959