Title: A deep learning-based approach for anchor user modeling across online social networks under a big data environment.
Supervisors: Mohamed BEN AOUICHA & Mohamed Ali HADJ TAEIB
Defense Date: 26 may 2022
Currently, large databases of open bibliographic metadata have been created and made available online in the age of open science. These resources are easily findable, accessible, interoperable, and reusable thanks to their online hosting and their representation as RDF (Resource Description Framework) knowledge graphs, and could be easily aligned together thanks to a set of unique identifiers such as ORCID ID, Wikidata ID, and DOI.