Managing the empirical hardness of the ontology reasoning using the predictive modelling

Managing the empirical hardness of the ontology reasoning using the predictive modelling

Multiples techniques d'optimisation ont été implémentées afin de surmonter le compromis entre la complexité des algorithmes du raisonnement et l'expressivité du langage de formulation des ontologies. Cependant les compagnes d'évaluation des raisonneurs continuent de confirmer l'a...

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Bibliographic Details
Main Author:	Alaya Mili, Nourhene
Other Authors:	Paris 8
Language:	en fr
Published:	2016
Subjects:	Ontologie Raisonnement Apprentissage supervisé Prédiction Robustesse Ordonnancement Extraction Ontology Reasoner Supervised learning Prediction Hardness Robustness Ranking
Online Access:	http://www.theses.fr/2016PA080062/document

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