Data Access over Large Semi-Structured Databases A Generic Approach Towards Rule-Based Systems - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Thèse Année : 2014

Data Access over Large Semi-Structured Databases A Generic Approach Towards Rule-Based Systems

Bruno Paiva Lima da Silva
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Résumé

This thesis presents original research in the field of Knowledge Representation and Reasoning, a central Artificial Intelligence issue.The contribution of the thesis is providing the ALASKA platform, that is able to integrateunder a unified logical framework different implementation approaches for addressing the RULE-BASED DATA ACCESS problem.
This thesis presents original research in the field of Knowledge Representation and Reasoning,a central Artificial Intelligence issue.The contribution of the thesis is providing the ALASKA platform, that is able to integrateunder a unified logical framework different implementation approaches for addressing the RULE-BASED DATA ACCESS problem.

Domaines

Intelligence artificielle [cs.AI]
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https://hal-lirmm.ccsd.cnrs.fr/tel-01088101

Soumis le : jeudi 27 novembre 2014-13:45:40

Dernière modification le : jeudi 28 novembre 2024-03:29:41

Archivage à long terme le : vendredi 14 avril 2017-22:15:18

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Dates et versions

tel-01088101 , version 1 (27-11-2014)

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  • HAL Id : tel-01088101 , version 1

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Bruno Paiva Lima da Silva. Data Access over Large Semi-Structured Databases A Generic Approach Towards Rule-Based Systems. Artificial Intelligence [cs.AI]. Universite Montpellier 2, 2014. English. ⟨NNT : ⟩. ⟨tel-01088101⟩

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