Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Development of an Ontology to Assist the Modeling of Accident Scenarii "Application on Railroad Transport " (1203.1021v1)

Published 5 Mar 2012 in cs.AI

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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Ahmed Maalel (4 papers)
  2. Habib Hadj mabrouk (1 paper)
  3. Lassad Mejri (1 paper)
  4. Henda Hajjami Ben Ghezela (1 paper)
Citations (11)

Summary

We haven't generated a summary for this paper yet.