106581 20230914083250.0 doi 10.1109/FUZZ48607.2020.9177835 sideral 120263 ART-2020-120263 eng Huitzil, Ignacio Universidad de Zaragoza (orcid)0000-0002-7581-0345 The serializable and incremental semantic reasoner fuzzyDL 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/FEDER info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R info:eu-repo/grantAgreement/ES/UZ-SANTANDER/Ayudas Movilidad Latinoamericanos-2017-2018 info:eu-repo/grantAgreement/ES/UZ/UZ2018-TEC-02 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.28 2020 Applied Mathematics 2020 Software 2020 Artificial Intelligence 2020 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Straccia, Umberto Bobed, Carlos Universidad de Zaragoza (orcid)0000-0003-4239-8785 Mena, Eduardo Universidad de Zaragoza (orcid)0000-0002-7462-0080 Bobillo, Fernando Universidad de Zaragoza (orcid)0000-0001-5136-4152 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 7, 19911095 (2020), [8 pp] Proc. IEEE Int. Conf. Fuzzy Syst. Proceedings of ... IEEE International Conference on Fuzzy Systems 1098-7584 257123 http://zaguan.unizar.es/record/106581/files/texto_completo.pdf Postprint 3140393 http://zaguan.unizar.es/record/106581/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:106581 articulos driver 2023-09-13-10:50:53 ARTICLE