doi:10.4018/IJSWIS.2018010101engPan, Jeff Z.Bobed, CarlosGuclu, IsaBobillo, FernandoKollingbaum, Martin J.Mena, EduardoLi, Yuan-FangPredicting reasoner performance on ABox intensive OWL 2 EL ontologiesART-2018-102114In 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.2018http://zaguan.unizar.es/record/6523310.4018/IJSWIS.2018010101http://zaguan.unizar.es/record/65233oai:zaguan.unizar.es:65233info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-Rinfo:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-Rinfo:eu-repo/grantAgreement/EC/FP7/286348/EU/Knowledge Driven Data Exploitation/K-DRIVEinfo:eu-repo/grantAgreement/ES/DGA/FSEInternational Journal on Semantic Web and Information Systems 14, 1 (2018), 1-30All rights reservedhttp://www.europeana.eu/rights/rr-f/info:eu-repo/semantics/openAccess