The serializable and incremental semantic reasoner fuzzyDL

Huitzil, Ignacio (Universidad de Zaragoza) ; Straccia, Umberto ; Bobed, Carlos (Universidad de Zaragoza) ; Mena, Eduardo (Universidad de Zaragoza) ; Bobillo, Fernando (Universidad de Zaragoza)

Resumen: Serializable and incremental semantic reasoners make it easier to reason on a mobile device with limited resources, as they allow the reuse of previous inferences computed by another device without starting from scratch. This paper describes an extension of the fuzzy ontology reasoner fuzzyDL to make it the first serializable and incremental semantic reasoner. We empirically show that the size of the serialized files is smaller than in another serializable semantic reasoner (JFact), and that there is a significant decrease in the reasoning time.

Idioma: Inglés

DOI: 10.1109/FUZZ48607.2020.9177835

Año: 2020

Publicado en: Proceedings of ... IEEE International Conference on Fuzzy Systems 7, 19911095 (2020), [8 pp]
ISSN: 1098-7584

Factor impacto SCIMAGO: 0.28 - Applied Mathematics - Software - Artificial Intelligence

Financiación: info:eu-repo/grantAgreement/ES/DGA/FEDER
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R
Financiación: info:eu-repo/grantAgreement/ES/UZ-SANTANDER/Ayudas Movilidad Latinoamericanos-2017-2018
Financiación: info:eu-repo/grantAgreement/ES/UZ/UZ2018-TEC-02

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)