Ontology Model Construction and Data Storage Method Design for River Health Management

Abstract:

Effective management of river channels is a prerequisite for maintaining the healthy ecological condition of river channels. An ontology-based method for storing multi-source river health data is proposed to address the problems of cross-sector management， inefficient storage， and semantic information ignored in river health data. An ontology model of river health domain is constructed， and a storage method of river health data based on Neo4j graph database is designed. Taking the river in Baoshan District， Shanghai as an example， a river health visualization prototype system is developed， which successfully achieves the storage and query of river health ontology data in concepts， relations， attributes and instances. A comparison test of the query efficiency of two different ontology storage methods is designed to validate the effectiveness and feasibility of the method proposed in this paper.