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. Withthe latest advances in information processing and machine learning, this data structure canincreasingly be incorporated more efficiently into reasoning and knowledge acquisition processes. Thishas made them a valuable and versatile tool capable of answering questions in many domains. In thisarticle, we present these structures, their concepts, and applications and offer an initial approach totheir use in airport security within the framework of the BAGINTEL project.