Technological Emergency Planning Through An Ontology Oriented Approach

Having access to the right information before and during an industrial emergency could save organizations and keep them safe and sustainable. Accident databases among other are used to provide such accesses. But, usual accident databases are lacking to provide enough emergency knowledge. This paper tries to improve the current process accident databases information retrieval through developing a process accident knowledge base (PAKB). Technological accident concepts and subconcepts were identified. Then, the relevant taxonomy for each concept was developed and the relationships among all concepts were formalized. This collection was transferred into the protégé software for more formal interpretation and representations. The established PAKB could improve information retrieval processes, reduce query time and fault results. Despite customary databases, it can disclose the hidden relations among different stored data. The accident knowledge base imagines knowledge epresentation and concept relationships that could help to understand the hidden relations among the needed data. Such features are vital in the emergency management.