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
Document type :
Habilitation à diriger des recherches
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Submitted on : Tuesday, January 27, 2015 - 10:50:07 PM
Last modification on : Friday, May 17, 2019 - 11:40:20 AM
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Madalina Croitoru. Graph Based Knowledge Representation and Reasoning: Practical AI Applications. Artificial Intelligence [cs.AI]. Université Montpellier 2, 2014. ⟨tel-01110342⟩

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