Development of an Ontology to Assist the Modeling of Accident Scenarii "Application on Railroad Transport "

TL;DR

This paper proposes an ontology-based knowledge model to standardize and improve the modeling of train accident scenarios, enhancing safety analysis and communication in rail transport.

Contribution

It introduces a novel ontology framework combining generic and domain-specific models for rail accident scenario representation.

Findings

Initial model validation shows improved scenario consistency

Enhanced terminology harmonization among safety stakeholders

Potential for better accident analysis and prevention

Abstract

In a world where communication and information sharing are at the heart of our business, the terminology needs are most pressing. It has become imperative to identify the terms used and defined in a consensual and coherent way while preserving linguistic diversity. To streamline and strengthen the process of acquisition, representation and exploitation of scenarii of train accidents, it is necessary to harmonize and standardize the terminology used by players in the security field. The research aims to significantly improve analytical activities and operations of the various safety studies, by tracking the error in system, hardware, software and human. This paper presents the contribution of ontology to modeling scenarii for rail accidents through a knowledge model based on a generic ontology and domain ontology. After a detailed presentation of the state of the art material, this article presents the first results of the developed model.