Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining
Abstract
Recognizing and learning from similar crisis situations is crucial for the development of effective response strategies. This study addresses the challenge of identifying similarities within a wide range of crisis-related information. To overcome this challenge, we employed an ontology-based crisis situation knowledge base enriched with crisis-related information. Additionally, we implemented a semantic similarity measure to assess the degree of similarity between crisis situations. Our investigation specifically focuses on recognizing similar crises through the application of ontology-based knowledge mining. Through our experiments, we demonstrate the accuracy and efficiency of our approach to recognizing similar crises. These findings highlight the potential of ontology-based knowledge mining for enhancing crisis recognition processes and improving overall crisis management strategies.
Cite
@article{arxiv.2401.03770,
title = {Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining},
author = {Ngoc Luyen Le and Marie-Hélène Abel and Elsa Negre},
journal= {arXiv preprint arXiv:2401.03770},
year = {2024}
}