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.

翻译：识别并从相似危机情境中学习对于制定有效应对策略至关重要。本研究旨在解决在广泛危机相关信息中识别相似性的挑战。为克服这一难题，我们构建了一个基于本体的危机情境知识库，并丰富了其中包含的危机相关信息。同时，我们采用了语义相似性度量方法来评估危机情境之间的相似程度。本研究聚焦于通过基于本体的知识挖掘识别相似危机。实验结果表明，我们的方法在识别相似危机方面具有准确性和高效性。这些发现凸显了基于本体的知识挖掘在增强危机识别过程及改进整体危机管理策略方面的潜力。