Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling
Author(s)
Huitzil, Ignacio
Molina-Solana, Miguel
Gómez-Romero, Juan
Bobillo, Fernando
Type
Journal Article
Abstract
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.
Date Issued
2021-05
Date Acceptance
2021-01-28
Citation
Applied Soft Computing, 2021, 103, pp.1-15
ISSN
1568-4946
Publisher
Elsevier BV
Start Page
1
End Page
15
Journal / Book Title
Applied Soft Computing
Volume
103
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
European Commission
European Commission Directorate-General for Research and Innovation
Identifier
https://www.sciencedirect.com/science/article/pii/S1568494621000818?via%3Dihub
Grant Number
GA 743623
Subjects
Fuzzy ontologies
Flexible querying
Building Information Modeling
Publication Status
Published
Article Number
107158
Date Publish Online
2021-02-10