Graph Based Knowledge Representation and Reasoning: Practical AI Applications - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Accreditation To Supervise Research Year : 2014

Graph Based Knowledge Representation and Reasoning: Practical AI Applications

Madalina Croitoru

Abstract

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

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Dates and versions

tel-01110342 , version 1 (27-01-2015)

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  • HAL Id : tel-01110342 , version 1

Cite

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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