水利学报2025，Vol.56Issue(3)：341-353,13.DOI:10.13243/j.cnki.slxb.20240268
面向水利防汛抢险的知识图谱构建与应用
Construction and application of knowledge graph for flood defense and rescue of water infrastructure
摘要
Abstract
The knowledge platform is an important component in digital twin of water conservancy.However,water conservancy knowledge is dispersed across multi-source texts,which exhibit obvious unstructured and frag-mented characteristics,and knowledge extraction and effective utilization face challenges.To addresses the issues of low data quality and underutilization of knowledge in the field,this study focuses on the texts of flood defense and emergency rescue,and proposes an intelligent method for constructing a flood defense and emergency rescue knowledge graph by improving the knowledge extraction model and combining unstructured data and external semi-structured data.Initially,a large language model is employed to extract term from unstructured texts and construct an ontology model based on term themes,a pretraining module is used to enhance text representation features,and a convolutional module is introduced to improve the entity knowledge extraction model,and an entity data enhance-ment method is proposed to improve model accuracy.Then external encyclopedia data is extracted to expand the knowledge coverage to build a complete flood defense and rescue knowledge graph.Experimental results demonstrate that the proposed model achieves an F1 score of 89.91％in entity knowledge extraction,significantly outperforming baseline models.Finally,the application method of knowledge graph in the field of flood defense and rescue is in-troduced,which can form a knowledge engine for digital twin of water conservancy construction,providing knowl-edge support for flood control research and decision-making.关键词
防汛抢险/知识图谱/知识抽取/多源数据/数字孪生Key words
flood defense and rescue/knowledge graph/knowledge extraction/multi-source data/digital twin分类
建筑与水利引用本文复制引用
张栋梁,周伟,马刚,王旭东,刘禹,王小毛..面向水利防汛抢险的知识图谱构建与应用[J].水利学报,2025,56(3):341-353,13.基金项目
国家重点研发计划课题(2022YFC3005505) （2022YFC3005505）
国家自然科学基金项目(52322907,52179141,U23B20149) （52322907,52179141,U23B20149）
中央高校基本科研业务费专项项目(2042024kf1031,2042023kfyq03) （2042024kf1031,2042023kfyq03）
