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

Salma El Hajjami (), Mohammed Berrada (), Mostafa Harti () and Gayo Diallo
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Salma El Hajjami: IASSE Laboratory, ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco
Mohammed Berrada: IASSE Laboratory, ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco
Mostafa Harti: #x2020;LIMS Laboratory, Sidi Mohammed Ben Abdellah University, Fez, Morocco
Gayo Diallo: #x2021;Team ERIAS, Bordeaux Population, Health Research Centre, INSERM, UMR 1219 Université de Bordeaux, Bordeaux, France§LaBRI, CNRS, UMR 5800, Université de Bordeaux, Talence, France

Journal of Information & Knowledge Management (JIKM), 2020, vol. 19, issue 03, 1-19

Abstract: 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.

Keywords: Social Web; business intelligence; multi-dimensional analysis; Semantic Web; multi-agent system (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0219649220500215

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