Proposition d’une annotation sémantique des données issues d’IoT

Abstract

Datasets bring together a set of coherent data that can be presented in different formats (texts, figures, images, videos, etc.). data collected in datasets represent an important source of information for IoT applications in different domains. It is in this context that this master’s work is located, which focuses on the proposition of a semantic annotation for the interpretation of the content of datasets and in particular image datasets in order to reduce the difficulty linked the the selection step of these datasets by data analysts.