Processing heterogeneous data sources for risk management by knowledge graph databases: the case of BAG-INTEL research project

Knowledge graphs stand out for their ability to encode and represent knowledge in various fields. With the latest advances in information processing and machine learning, this data structure can increasingly be incorporated more efficiently into reasoning and knowledge acquisition processes. This has made them a valuable and versatile tool capable of answering questions in many domains. In this article, we present these structures, their concepts, and applications and offer an initial approach to their use in airport security within the framework of the BAGINTEL project.