65233 20191126134630.0 doi 10.4018/IJSWIS.2018010101 sideral 102114 ART-2018-102114 eng Pan, Jeff Z. Predicting reasoner performance on ABox intensive OWL 2 EL ontologies 2018 Access copy available to the general public Unrestricted In 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. info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R info:eu-repo/grantAgreement/EC/FP7/286348/EU/Knowledge Driven Data Exploitation/K-DRIVE info:eu-repo/grantAgreement/ES/DGA/FSE info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.833 2018 COMPUTER SCIENCE, INFORMATION SYSTEMS 91 / 155 = 0.587 2018 Q3 T2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 79 / 133 = 0.594 2018 Q3 T2 0.283 2018 Information Systems 2018 Q3 Computer Networks and Communications 2018 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0003-4239-8785 Bobed, Carlos Guclu, Isa (orcid)0000-0001-5136-4152 Bobillo, Fernando Universidad de Zaragoza Kollingbaum, Martin J. (orcid)0000-0002-7462-0080 Mena, Eduardo Universidad de Zaragoza Li, Yuan-Fang 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 14, 1 (2018), 1-30 International Journal on Semantic Web and Information Systems International Journal on Semantic Web and Information Systems 1552-6283 1111274 http://zaguan.unizar.es/record/65233/files/texto_completo.pdf Postprint 110583 http://zaguan.unizar.es/record/65233/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:65233 articulos driver 2019-11-26-13:40:36 ARTICLE