Due to the growing environmental and geopolitical challenges nowadays, which are
causing supply chain complications, industry and society are facing significant new …

Phenomic datasets need to be accessible to the scientific community. Their reanalysis
requires tracing relevant information on thousands of plants, sensors and events. The open …

In today's era of information explosion, more users are becoming more reliant upon
recommender systems to have better advice, suggestions, or inspire them. The measure of …

Résumé La mesure de la parenté ou ressemblance sémantique entre les termes, les mots,
ou les données textuelles joue un rôle important dans différentes applications telles que …

To a great extent, the success of the Web of Data depends on the ability to reach out legacy
data locked in silos inaccessible from the web. In the last 15 years, various works have …

Automation systems are a key component of modern society. Despite important
achievements by automation science and technology in the past, challenges related to the …

Abstract Knowledge graphs have proven to be effective for modeling entities and their
relationships through the use of ontologies. The recent emergence in interest for using …

This paper presents an ontological approach of scientific experimental data integration
across complementary sub-domains, ie, agricultural production and food processing, with an …

Measuring similarity between RDF graphs is essential for various applications, including
knowledge discovery, semantic web analysis, and recommender systems. However …

In today's data-rich environment, recommender systems play a crucial role in decision
support systems. They provide to users personalized recommendations and explanations …