EL HAJJAMI, S.; BERRADA, M.; HARTI, M.; DIALLO, Abdourahmane Gayo

doi:10.1142/s0219649220500215

Métadonnées

Afficher la notice complète

Licence d’utilisation du document

Langue

Article de revue

Ce document a été publié dans

Journal of Information and Knowledge Management. 2020, vol. 19, n° 3, p. 2050021

Résumé en anglais

Recent years have seen Social Web becoming a global phenomenon, which is being increasingly important in our daily lives. Millions of users are chatting on the Web and social networks and expressing their feelings and opinions about the latest outbreaks, symptoms, illnesses and new drugs. These opinions contain a large amount of data, which are destined to become a major source of information for business intelligence, as they are largely informative and therefore interesting to be dealt with in a decision-making process, in order to evaluate and improve the performance of health system. However, this source of information is currently underutilised. This work describes an approach to creating an analytical health framework that allows the integration and multi-dimensional analysis of available health data, with particular attention to socially generated data, using Semantic Web (SW) technologies and multi-agent systems.< Réduire

Mots clés

ERIAS

Métadonnées

Partager cette publication !

Licence d’utilisation du document

Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data

Langue

Ce document a été publié dans

Résumé en anglais

Mots clés

URI

DOI

Unités de recherche