Résumé:
Millions of the elderly and people with disabilities around the world suffer from
difficulties in carrying out their daily life tasks. However, thanks to the continuous
technological development that affected all fields, including the medical one, it became
possible to integrate them in a greater way into society and facilitate their lives, even
partially. To do this, in this project we took advantage of the Internet of Things
technology (iot) to collect measuerments of their vital signs through various sensors,
and to gain interoperability, we needed semantic web to make the data more
understandable to the machines, by using many of its technologies (ontology, SWRL,
etc). We also used fuzzy logic in an effective way to resolve disputes and uncertinty and
for better evaluation of options. The combination of these disciplines and technologies
produces an ontological model for us that contains various informations about the
target person (type of disability, vital signs, objectives and healthcare services he needs,
etc.) to facilitate doctors' follow-up to them and make their life easier
