In recent years, artificial intelligence technology has rapidly developed, with knowledge graphs, which represent human knowledge in a graph structure, gaining significant attention. These graphs are utilized as foundational technologies in various fields and tools. Knowledge graphs effectively integrate information from diverse data sources and clarify the relationships between them. This study proposes a method for managing disaster data in the preservation and inheritance of regional materials using knowledge graphs. By representing various past disaster events and their interrelations through a unified structure, knowledge graphs are expected to facilitate the integration of multiple sources of information, thereby enhancing data reuse and knowledge transfer. Furthermore, by visualizing the interrelationships between individual disaster data, this approach is anticipated to contribute to future disaster risk assessments and improve disaster response strategies.