Knowledge Management and Processing in Disaster Management

This chapter explores the critical role of knowledge management and processing within the realm of disaster management, focusing on the integration of artificial intelligence (AI) for building resilience and preventing catastrophes. As disasters continue to pose significant threats to human life, infrastructure, and the environment, effective knowledge management becomes paramount in facilitating swift, informed decision-making processes. This chapter examines various facets of knowledge management, encompassing data collection, information processing, knowledge dissemination, and decision support systems. It delves into the utilization of AI techniques such as machine learning, natural language processing, and predictive analytics to harness vast amounts of data and derive actionable insights for disaster preparedness, response, and recovery. Furthermore, the chapter discusses the challenges, ethical considerations, and future prospects in leveraging AI-driven knowledge management systems to enhance disaster resilience and mitigate the impact of unforeseen events. By offering insights into the synergistic relationship between AI and knowledge management, this chapter aims to contribute to the discourse on sustainable disaster management strategies, emphasizing the imperative of technological integration for fostering resilience and averting catastrophes.