149857 20251017144609.0 doi 10.1016/j.asoc.2021.107158 sideral 123155 ART-2021-123155 eng Huitzil, Ignacio (orcid)0000-0002-7581-0345 Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling 2021 This paper presents a minimalistic reasoning algorithm to solve imprecise instance retrieval in fuzzy ontologies with application to querying Building Information Models (BIMs)—a knowledge representation formalism used in the construction industry. Our proposal is based on a novel lossless reduction of fuzzy to crisp reasoning tasks, which can be processed by any Description Logics reasoner. We implemented the minimalistic reasoning algorithm and performed an empirical evaluation of its performance in several tasks: interoperation with classical reasoners (Hermit and TrOWL), initialization time (comparing TrOWL and a SPARQL engine), and use of different data structures (hash tables, databases, and programming interfaces). We show that our software can efficiently solve very expressive queries not available nowadays in regular or semantic BIMs tools. info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R info:eu-repo/semantics/closedAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 8.263 2021 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 11 / 112 = 0.098 2021 Q1 T1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 23 / 145 = 0.159 2021 Q1 T1 1.959 2021 Software 2021 Q1 12.4 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Molina-Solana, Miguel Gómez-Romero, Juan Bobillo, Fernando Universidad de Zaragoza (orcid)0000-0001-5136-4152 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 103 (2021), 107158 [15 pp.] Appl. Soft. Comput. APPLIED SOFT COMPUTING 1568-4946 877559 http://zaguan.unizar.es/record/149857/files/texto_completo.pdf Versión publicada 1702587 http://zaguan.unizar.es/record/149857/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:149857 articulos driver 2025-10-17-14:16:48 ARTICLE