Knowledge Graph Construction and Reasoning Methods in Water Conservancy Field
YAN Daizhi
XIONG Fei
LIU Jinquan
ZHANG Feng
Abstract：The construction of smart water conservancy knowledge system relies on the deep integration and intelligent reasoning of multidisciplinary heterogeneous data,in which knowledge graph technology plays an important role.This paper focuses on knowledge graph construction and reasoning methods in the water conservancy field,analyzes their application scenarios in water resource management,disaster early warning,and ecological protection,reviews domestic and international research progress,and summarizes key issues in water conservancy knowledge graph construction including entity recognition,relation extraction,data fusion,and reasoning improvement.Knowledge graph can integrate multimodal data such as text,images,and videos in the water conservancy field,construct a global knowledge network,provide support for smart water conservancy intelligent decision-making and drive the water conservancy industry into the digital and intelligent era.On this basis,this paper analyzes the future development direction of water conservancy knowledge graph,focusing on key technology innovation trends such as nested entity recognition,knowledge reasoning,data fusion,and temporal analysis,providing reference for smart water conservancy knowledge system construction.
Keywords：knowledge graphsmart water conservancyentity recognitionrelation extraction
Publication Date：2026-07-20
Online Publishing Date：2026-09-16(First online date of this platform, not the publication date of the document)
Pages：8( 131-138 )