Indexation des données de l’IoT sémantiques pour améliorer la prise de décision au profit des personnes handicapées

Abstract

The use of technology in daily life is increasing every year, which makes it indis pensable because of the facilities it provides to people in their daily lives, especially to people with disabilities.Among these technologies, the Internet of Things (IoT) has received a lot of attention in recent years because of its interconnectivity. The need for semantics comes from the various sources and sensors we depend on for information collection.We also use Semantic Web technologies (Ontologies, SWRL, SPARQL) to combine them with database data to ensure better interoperability and thus make the Internet of Things semantic. This is what we call the Semantic Web of Things. The need for indexing techniques comes from the large size of the IoT data. We therefore use tree indexing techniques to manage and store the information in the right place to retrieve it in a limited time. From this combination, a system based on an enriched ontological model containing knowledge about the target person (such as : vital signs, type of type of disability, their objectives, the obstacles that can be found, etc.) is realized in order to offer a better life to disabled people as well as to give them a little more autonomy in their movements.