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Uncertainty in automated ontology matching: lessons from an empirical evaluation

author
Osman, Inès
Pileggi, Salvatore Flavio
Ben Yahia, Sadok
statement of authorship
Inès Osman, Salvatore Flavio Pileggi and Sadok Ben Yahia
source
Applied Sciences (Switzerland)
publisher
MDPI
journal volume number month
Vol. 14, 11
year of publication
2024
pages
art. 4679, 19 p. : ill
url
https://doi.org/10.3390/app14114679
subject term
andmed
ontoloogiad (informaatika)
määramatus
keyword
data integration
ontology matching
uncertainty
ISSN
2076-3417
notes
Bibliogr.: 70 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Physics and astronomy
Chemical engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Physics and astronomy. Instrumentation
Chemical engineering. Fluid flow and transfer processes
Computer science. Computer science applications
Materials science. General materials science
Chemical engineering. Process chemistry and technology
TalTech department
tarkvarateaduse instituut
language
inglise
Osman, I., Pileggi, S.F., Ben Yahia, S. Uncertainty in automated ontology matching: lessons from an empirical evaluation // Applied Sciences (Switzerland) (2024) Vol. 14, 11, art. 4679, 19 p. : ill. https://doi.org/10.3390/app14114679