The paper entitled “A lightweight Ontology for real time semantic correlation of situation awareness data generated for first responders” has been accepted for presentation at the 2021 International Conference on Computational Science and Computational Intelligence, that will be held in December 15-17, 2021 in Las Vegas and will be also published in the IEEE CPS proceedings.
In this work, UBITECH’s Knowledge & Intelligent Computing Research Group proposed a novel ontology-based methodology which integrates data from IoT devices in the frame of a Situation Awareness (SA) semantic model. Specifically, the model offers real time semantic correlation of situation awareness data and entities coming from various types of sensors, drones and robot monitoring systems for the purpose of supporting the management of decisions of first responders during search and rescue operations. With the aim to address the challenges of interoperability in crisis management, the model covers key aspects of the SA domain, such as proper decision making during the course of an emergency operation, conceptual representation of critical information required for such tasks and of important information flows which potentially exist between involved actors.
Finally, the merit of the model is going to be thoroughly tested against the real life conditions of the use cases of the EC H2020 project Search and Rescue (GA ID: 882897): Emerging technologies for the Early location of Entrapped victims under Collapsed Structures and Advanced Wearables for risk assessment and First Responders Safety in SAR operations.
