Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  


BibTex format

author = {Huitzil, I and Molina-Solana, M and Gómez-Romero, J and Bobillo, F},
doi = {10.1016/j.asoc.2021.107158},
journal = {Applied Soft Computing},
pages = {1--15},
title = {Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling},
url = {},
volume = {103},
year = {2021}

RIS format (EndNote, RefMan)

AB - 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.
AU - Huitzil,I
AU - Molina-Solana,M
AU - Gómez-Romero,J
AU - Bobillo,F
DO - 10.1016/j.asoc.2021.107158
EP - 15
PY - 2021///
SN - 1568-4946
SP - 1
TI - Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling
T2 - Applied Soft Computing
UR -
UR -
UR -
VL - 103
ER -