Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling

Huitzil, Ignacio ; Molina-Solana, Miguel ; Gómez-Romero, Juan ; Bobillo, Fernando (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.asoc.2021.107158

Año: 2021

Publicado en: APPLIED SOFT COMPUTING 103 (2021), 107158 [15 pp.]
ISSN: 1568-4946

Factor impacto JCR: 8.263 (2021)

Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 11 / 112 = 0.098 (2021) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE rank: 23 / 145 = 0.159 (2021) - Q1 - T1

Factor impacto CITESCORE: 12.4 - Computer Science (Q1)

Factor impacto SCIMAGO: 1.959 - Software (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)