Résumé:
The technology is in a remarkable and continuous development field, it took a part in
all other fields such as medicine which makes it indispensable because of the facilities it
brings the doctors and also the patients especially to persons with disabilities. Because
of its inter-connectivity, the Internet of Things (IoT) technology has received a lot of
attention in recent years. The need for semantics comes from the different sources and
sensors we depend on for information collection. In this project we also use Semantic
Web technologies (Ontologies, SWRL, SPARQL) to make a combination with database
data to ensure better interoperability and thus make the Internet of Things semantic.
The large size of the IoT data and the considerable number of SWRL rules requires
optimization techniques, so we used machine learning to optimize this process and
reduce the number of rules. From this combination, a system based on an enriched
ontological model containing knowledge about the target person (such as: vital signs,
type of disability, their goals, the obstacles that can be found, etc.) is realized in order
to provide a better life to handicaps as well as to give them a little more autonomy in
their movements.
