Carlos D. Barranco González

Dr. Carlos D. Barranco González

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 October 2006 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
JCJ. Chamorro-Martínez
J. Chamorro-Martínez
JMJ.M. Medina
J.M. Medina
CGCarlos D. Barranco González
Carlos D. Barranco González
EGE. Galán-Perales
E. Galán-Perales
Jose Manuel Soto-HidalgoJose Manuel Soto-Hidalgo
Jose Manuel Soto-Hidalgo

1 June 2008 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
CGCarlos D. Barranco González
Carlos D. Barranco González
JCJesús Campaña
Jesús Campaña
JMJ.M. Medina
J.M. Medina

25 June 2025 in Decision Analytics Journal
Verified
Journal Article
Open access
AEAbderrachid Errezgouny
Abderrachid Errezgouny
YCYouness Chater
Youness Chater
CGCarlos D. Barranco González
Carlos D. Barranco González
ACAbdeljabbar Cherkaoui
Abdeljabbar Cherkaoui

1 August 2019 in Chemometrics and Intelligent Laboratory Systems
Verified
Journal Article
Closed access
FCFiorella Cravero
Fiorella Cravero
SSSantiago A. Schustik
Santiago A. Schustik
MMMaría Jimena Martínez
María Jimena Martínez
CGCarlos D. Barranco González
Carlos D. Barranco González
MDMónica F. Díaz
Mónica F. Díaz
IPIgnacio Ponzoni
Ignacio Ponzoni

1 June 2007
Verified
Conference Paper
Closed access
CGCarlos D. Barranco González
Carlos D. Barranco González
JCJesús Campaña
Jesús Campaña
JMJuan M. Medina
Juan M. Medina
OPO. Pons
O. Pons
This work deals with the need for managing large amounts of fuzzy data in the context of the Semantic Web. A schema to store ontologies with fuzzy datatypes into a database is presented as part of a framework designed to perform tasks of fuzzy information extraction and publishing. The database schema allows the storage of an ontology along with its instances preserving all information. Ontology and instances are stored in different schemas in order to improve the access to instances while retaining the capacity of reasoning over the ontology. This sets the foundations of a research opportunity on the definition of a ontology reasoner over these structures. The paper also presents a brief description of the framework on which the database is included, and the structures conforming the storage schema proposed.

1 November 2018 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
JMJuan Miguel Medina
Juan Miguel Medina
CGCarlos D. Barranco González
Carlos D. Barranco González
OPOlga Pons
Olga Pons