Scholarlink

Addressing the characteristics of natural disaster emergency texts, which include a wide variety and complexity of entity relationships as well as inconsistent word order and sentence structure, this paper studies and constructs semantic role types in the field of natural disasters, and designs a unique knowledge graph framework based on semantic roles, starting from the perspective of semantic role labeling and utilizing plan texts in the field of natural disaster emergency response. Utilizing deep learning methods to validate the feasibility of knowledge extraction from this research perspective, the study implements the storage and visualization of natural disaster emergency knowledge based on the Neo4j graph database. It analyzes the feasibility of this knowledge graph in assisting emergency decision-making and supporting information inquiry.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Framework Design of a Semantic Role-Based Knowledge Graph for Natural Disaster Emergency Response

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Yuexiang Yang,
  • Yujie Chen,
  • Yanqing Liu

摘要

Addressing the characteristics of natural disaster emergency texts, which include a wide variety and complexity of entity relationships as well as inconsistent word order and sentence structure, this paper studies and constructs semantic role types in the field of natural disasters, and designs a unique knowledge graph framework based on semantic roles, starting from the perspective of semantic role labeling and utilizing plan texts in the field of natural disaster emergency response. Utilizing deep learning methods to validate the feasibility of knowledge extraction from this research perspective, the study implements the storage and visualization of natural disaster emergency knowledge based on the Neo4j graph database. It analyzes the feasibility of this knowledge graph in assisting emergency decision-making and supporting information inquiry.