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

被引：0
|
作者：
Liu X. [1 ,2 ,3 ]
Tian Z. [1 ,2 ]
Zhou J. [1 ,2 ]
Zhao T. [1 ,2 ]
Xu Y. [4 ]
Xu J. [5 ]
Shen J. [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Virtual Geographic Environment of the Ministry of Education, Nanjing Normal University, Nanjing
[2] School of Geography, Nanjing Normal University, Nanjing
[3] Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing
[4] Shandong Eastdawn Co., Ltd., Jinan
[5] Beijing Baidu Zhitu Technology Co., Ltd., Beijing
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2023年 / 51卷 / 07期
关键词：
data storage; graph database; ontology; river health; waterway management;
D O I：
10.11908/j.issn.0253-374x.23142
中图分类号：
学科分类号：
摘要：
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. © 2023 Science Press. All rights reserved.
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页码：1018 / 1024
页数：6
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