Uncertainty in Automated Ontology Matching: Lessons from an Empirical Evaluation

Data integration is considered a classic research field and a pressing need within the information science community. Ontologies play a critical role in such processes by providing well-consolidated support to link and semantically integrate datasets via interoperability. This paper approaches data...

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Bibliographic Details
Main Authors: Inès Osman, Salvatore Flavio Pileggi, Sadok Ben Yahia
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/11/4679