000134540 001__ 134540
000134540 005__ 20240424142035.0
000134540 0247_ $$2doi$$a10.1016/j.eswa.2024.123838
000134540 0248_ $$2sideral$$a138199
000134540 037__ $$aART-2024-138199
000134540 041__ $$aeng
000134540 100__ $$0(orcid)0000-0003-4239-8785$$aBobed, Carlos$$uUniversidad de Zaragoza
000134540 245__ $$aPraedixi, Redegi, Cogitavi: Adaptive knowledge for resource-aware semantic reasoning
000134540 260__ $$c2024
000134540 5060_ $$aAccess copy available to the general public$$fUnrestricted
000134540 5203_ $$aRepresenting knowledge with ontologies and performing reasoning with semantic reasoners is important in many intelligent applications. However, existing reasoners do not take into account the available resources of the device where they run, which can be important in many scenarios such as reasoning with very large ontologies or reasoning on resource-constrained mobile devices.
In this paper, we propose a novel approach to adapt the size of knowledge managed by applications, taking into account several criteria about resources available (such as time, memory, and battery consumption), at the same time. Thus, rather than giving no answer due to the lack of resources needed to deal with a full ontology, we propose a novel architecture to compute a subontology to provide an incomplete answer at least. Our approach makes use of existing approaches to predict the performance of semantic reasoners and to compute ontology modularisation and ontology partition, but taking into account the associated resource consumption. We also propose a novel measure to estimate the semantic loss when replacing the original ontology by a subontology. Finally, we present an implementation and evaluation of the whole pipeline, showing that the semantic loss incurred in the process is acceptable.
000134540 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T42-23R
000134540 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000134540 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000134540 700__ $$0(orcid)0000-0001-5136-4152$$aBobillo, Fernando$$uUniversidad de Zaragoza
000134540 700__ $$aJiménez-Ruiz, Ernesto
000134540 700__ $$0(orcid)0000-0002-7462-0080$$aMena, Eduardo$$uUniversidad de Zaragoza
000134540 700__ $$aPan, Jeff Z.
000134540 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000134540 773__ $$g250 (2024), 123838 [14 pp.]$$pExpert syst. appl.$$tExpert Systems with Applications$$x0957-4174
000134540 8564_ $$s1144977$$uhttps://zaguan.unizar.es/record/134540/files/texto_completo.pdf$$yPostprint
000134540 8564_ $$s1321172$$uhttps://zaguan.unizar.es/record/134540/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000134540 909CO $$ooai:zaguan.unizar.es:134540$$particulos$$pdriver
000134540 951__ $$a2024-04-24-13:23:12
000134540 980__ $$aARTICLE