000065233 001__ 65233 000065233 005__ 20191126134630.0 000065233 0247_ $$2doi$$a10.4018/IJSWIS.2018010101 000065233 0248_ $$2sideral$$a102114 000065233 037__ $$aART-2018-102114 000065233 041__ $$aeng 000065233 100__ $$aPan, Jeff Z. 000065233 245__ $$aPredicting reasoner performance on ABox intensive OWL 2 EL ontologies 000065233 260__ $$c2018 000065233 5060_ $$aAccess copy available to the general public$$fUnrestricted 000065233 5203_ $$aIn this article, the authors introduce the notion of ABox intensity in the context of predicting reasoner performance to improve the representativeness of ontology metrics, and they develop new metrics that focus on ABox features of OWL 2 EL ontologies. Their experiments show that taking into account the intensity through the proposed metrics contributes to overall prediction accuracy for ABox intensive ontologies. 000065233 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R$$9info:eu-repo/grantAgreement/EC/FP7/286348/EU/Knowledge Driven Data Exploitation/K-DRIVE$$9info:eu-repo/grantAgreement/ES/DGA/FSE 000065233 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000065233 590__ $$a1.833$$b2018 000065233 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b91 / 155 = 0.587$$c2018$$dQ3$$eT2 000065233 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b79 / 133 = 0.594$$c2018$$dQ3$$eT2 000065233 592__ $$a0.283$$b2018 000065233 593__ $$aInformation Systems$$c2018$$dQ3 000065233 593__ $$aComputer Networks and Communications$$c2018$$dQ3 000065233 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000065233 700__ $$0(orcid)0000-0003-4239-8785$$aBobed, Carlos 000065233 700__ $$aGuclu, Isa 000065233 700__ $$0(orcid)0000-0001-5136-4152$$aBobillo, Fernando$$uUniversidad de Zaragoza 000065233 700__ $$aKollingbaum, Martin J. 000065233 700__ $$0(orcid)0000-0002-7462-0080$$aMena, Eduardo$$uUniversidad de Zaragoza 000065233 700__ $$aLi, Yuan-Fang 000065233 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000065233 773__ $$g14, 1 (2018), 1-30$$pInternational Journal on Semantic Web and Information Systems$$tInternational Journal on Semantic Web and Information Systems$$x1552-6283 000065233 8564_ $$s1111274$$uhttps://zaguan.unizar.es/record/65233/files/texto_completo.pdf$$yPostprint 000065233 8564_ $$s110583$$uhttps://zaguan.unizar.es/record/65233/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000065233 909CO $$ooai:zaguan.unizar.es:65233$$particulos$$pdriver 000065233 951__ $$a2019-11-26-13:40:36 000065233 980__ $$aARTICLE