Graph-Based Knowledge Representation and Reasoning

Michel Chein 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The model presented in this talk is a computational model. It aims at representing knowledge by computational objects and at reasoning with the represented knowledge, i.e., at processing them by algorithms (philosophical or psychological aspects of knowledge will not be discussed). We first present the main properties a knowledge representation formalism should have and briefly survey graph or graphical models (in Computer Science). Then, we detail the model itself , which is graph-based in the following sense: knowledge is represented by labeled graphs and reasoning mechanisms are based on graph operations. The third part is devoted to the relationships of this model with logics and other computational models, especially the relational data base model and RDF/S. Finally, some tools and applications are mentioned.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00539181
Contributor : Michel Chein <>
Submitted on : Wednesday, November 24, 2010 - 11:33:39 AM
Last modification on : Wednesday, December 12, 2018 - 3:56:05 PM

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Michel Chein. Graph-Based Knowledge Representation and Reasoning. ICEIS'10: 12th International Conference on Enterprise Information Systems, Jun 2010, Funchal, Madeira, Portugal. ⟨lirmm-00539181⟩

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