Construction and Application of Knowledge Graph of River Pollution
School of Mathematics and Information Technology of Hebei Normal University of Science & Technology，Hebei Innovation
Center for Smart Perception and Applied Technology of Agricultural Data
Hebei Key Laboratory of Ocean Dynamics, Resources and Environments
Abstract：In response to the problem of weak correlation between related elements in current river pollution incidents, a river pollution
knowledge graph is constructed and applied based on the advantages of knowledge representation in knowledge graphs. Firstly,
the construction methods of the pattern layer and data layer of the knowledge graph are sorted out. Then, take the Mulanxi River Basin
for example, the pattern layer of the river pollution knowledge graph is constructed in a top-down manner, the data layer is constructed
using structured data and unstructured data extraction techniques, and the knowledge is stored and applied using the Neo4j
graph database. Finally, rapid tracing of a pollution event in the Mulanxi River Basin is achieved using this knowledge graph. The
experiment shows that the construction of this river pollution knowledge graph solves the problems of scattered data and weak correlation
in water pollution events effectively, which can provide certain application value for rapid tracing of water pollution events.
2023, Vol. 1 
