121832 20250612142454.0 doi 10.1007/978-3-319-50112-3_1 sideral 96856 ART-2016-96856 eng Guclu, Isa How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted? 2016 Access copy available to the general public Unrestricted Reasoner performance prediction of ontologies in OWL 2 language has been studied so far from different dimensions. One key aspect of these studies has been the prediction of how much time a particular task for a given ontology will consume. Several approaches have adopted different machine learning techniques to predict time consumption of ontologies already. However, these studies focused on capturing general aspects of the ontologies (i.e., mainly the complexity of their TBoxes), while paying little attention to ABox intensive ontologies. To address this issue, in this paper, we propose to improve the representativeness of ontology metrics by developing new metrics which focus on the ABox features of ontologies. Our experiments show that the proposed metrics contribute to overall prediction accuracy for all ontologies in general without causing side-effects. info:eu-repo/grantAgreement/EC/FP7/286348/EU/Knowledge Driven Data Exploitation/K-DRIVE info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.339 2016 Computer Science (miscellaneous) 2016 Q2 Theoretical Computer Science 2016 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Bobed Lisbona, Carlos Universidad de Zaragoza (orcid)0000-0003-4239-8785 Pan, Jeff Z. Pan Kollingbaum, Martin J. Li, Yuan-Fang 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 10055 (2016), 3-14 Lect. notes comput. sci. Lecture Notes in Computer Science 0302-9743 488755 http://zaguan.unizar.es/record/121832/files/texto_completo.pdf Postprint 1495322 http://zaguan.unizar.es/record/121832/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:121832 articulos driver 2025-06-12-14:23:36 ARTICLE