Ontology-Based Collaborative Framework for Disaster Recovery Scenarios
Sakkaravarthi Ramanathan, Aymen Kamoun, Christophe Chassot · 2012
This paper aims at designing of adaptive framework for supporting collaborative work of different actors in public safety and disaster recovery missions. In such scenarios, firemen and robots communicate each other to reach a common goal. Here, reliable connection is mandatory to ensure the interaction between the actors. But wireless access network and communication resources are vulnerable in the event of a sudden unexpected change in the environment. Also, the continuous change in the mission requirements such as inclusion/exclusion of new actor, changing the actor's priority and the limitations of smart devices need to be monitored. To perform dynamically in such case, we present a framework based on a generic multi-level approach that ensures adaptation by semantic modeling.