News Articles and Facts Modeling: Linked Data or Linked Fact

Autor: Mamadou Bousso, Ousmane Sall, Lamine Faty, Rabiyatou Diouf, Edouard Ngor Sarr, Mory Moussou Koulibaly, Babiga Birregah, Seny Ndiaye Mbaye
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE).
DOI: 10.1109/icacce49060.2020.9154931
Popis: A press article is a collection of statements (opinions and/or allegations) that are a priori non-factual (the facts), i.e. an opinion on a specific subject. This article seeks to address the challenging issue of modeling news articles and facts. The authors also discuss the possibilities of modeling networks of factual articles based on the RED Model and Linked Data.
Databáze: OpenAIRE