Representing Multi-Scale Datalog +/- Using Hierarchical Graphs - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2016

Representing Multi-Scale Datalog +/- Using Hierarchical Graphs

Cornelius Croitoru
  • Function : Author
Facultatea de Informatica, Iasi
Madalina Croitoru
Graphs for Inferences on Knowledge
CV

Abstract

We introduce a multi scale knowledge representation and reasoning formalism of Datalog+/− knowledge bases. This is defined on a novel graph transformation system that highlights a new type of rendering based on the additional expansion of relation nodes. Querying and integration capabilities of our approach are based on a FOL sound and complete homomorphism.

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Artificial Intelligence [cs.AI]
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01328673

Submitted on : Saturday, June 29, 2019-2:48:01 PM

Last modification on : Thursday, November 14, 2024-4:18:04 PM

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lirmm-01328673 , version 1 (29-06-2019)

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Cornelius Croitoru, Madalina Croitoru. Representing Multi-Scale Datalog +/- Using Hierarchical Graphs. ICCS: International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.59-71, ⟨10.1007/978-3-319-40985-6_5⟩. ⟨lirmm-01328673⟩

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CNRS INRIA GRAPHIK LIRMM INRIA2 ICCS2016 MIPS UNIV-MONTPELLIER
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