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Communication Dans Un Congrès Année : 2024

Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining

Ngoc Luyen Le
Elsa Negre

Résumé

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.
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Dates et versions

hal-04378722 , version 1 (08-01-2024)

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  • HAL Id : hal-04378722 , version 1

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Ngoc Luyen Le, Marie-Hélène Abel, Elsa Negre. Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining. 57th Hawaii International Conference on System Sciences, Jan 2024, Hawaii, United States. ⟨hal-04378722⟩
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