Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fabien Garreau"'
Publikováno v:
Revue d'intelligence artificielle. 32:555-602
Autor:
Eric Würbel, Mohamed Ellefi, Pierre Drap, Laurent Garcia, Fabien Garreau, Claire Lefèvre, Odile Papini, Igor Stéphan
Publikováno v:
5th Global Conference on Artificial Intelligence
5th Global Conference on Artificial Intelligence, Sep 2019, Bolzano, Italy. pp.1-14
HAL
5th Global Conference on Artificial Intelligence, Sep 2019, Bolzano, Italy. pp.1-14
HAL
International audience; This paper deals with querying ontology-based knowledge bases equipped with non-monotonic rules through a case study within the framework of Cultural Heritage. It focuses on 3D underwater surveys on the Xlendi wreck which is r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5915d6725359290b79c4ea67a358606e
https://hal-amu.archives-ouvertes.fr/hal-02332016/document
https://hal-amu.archives-ouvertes.fr/hal-02332016/document
Autor:
Swan Rocher, Claire Lefèvre, Jean-François Baget, Laurent Garcia, Fabien Garreau, Igor Stéphan
Publikováno v:
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2018, 82 (1-3), pp.3-41. ⟨10.1007/s10472-017-9563-9⟩
Annals of Mathematics and Artificial Intelligence, 2018, 82 (1-3), pp.3-41. ⟨10.1007/s10472-017-9563-9⟩
Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2018, 82 (1-3), pp.3-41. ⟨10.1007/s10472-017-9563-9⟩
Annals of Mathematics and Artificial Intelligence, 2018, 82 (1-3), pp.3-41. ⟨10.1007/s10472-017-9563-9⟩
International audience; This article deals with the combination of ontologies and rules by means of existential rules and answer set programming. Existential rules have been proposed for representing ontological knowledge, specifically in the context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb33c284f00d6aa4da5a9ac448ef8f6a
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01934731/file/AMAI.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01934731/file/AMAI.pdf