  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.
