基于领域本体的数字孪生流域知识图谱构建与应用  

Construction and Application of Digital Twin Basin Knowledge Graph Based on Domain Ontology

作　　者：徐坚[1,2] 李国忠 杨恒玲 徐健 赵保成 张双印 付珺琳 王丽华 XU Jian;LI Guozhong;YANG Hengling;XU Jian;ZHAO Baocheng;ZHANG Shuangyin;FU Junlin;WANG Lihua(Spatial Information Technology Application Department,Changjiang River Scientific Research Institute,Wuhan 430010,China;Wuhan Center for Intelligent Drainage Engineering Technology Research,Wuhan 430010,China;Hunan Lishui Hydro&Power Co.,Ltd.,Changsha 410000,China)

机构地区：[1]长江科学院空间信息技术应用研究所,湖北武汉430010 [2]武汉市智慧流域工程技术研究中心,湖北武汉430010 [3]湖南省澧水流域水利水电综合开发公司,湖南长沙410000

出　　处：《地理空间信息》2024年第9期37-41,共5页Geospatial Information

基　　金：武汉市知识创新专项基础研究资助项目(2022010801010238);湖南省水利科技资助项目(XSKJ2023059-59);武汉市重点研发计划资助项目(2023010402010586);水利部重大科技资助项目(SKS-2022161);中央级公益性科研院所基本科研业务费专项资助项目(CKSF2023313/KJ);长江科学院开放基金资助项目(CKWV20231160/KY)。

摘　　要：为支撑数字孪生流域知识图谱的快速高效构建,以澧水流域为例,参照水利对象分类总则,通过梳理澧水流域内与江垭皂市工程相关的知识对象,选取关键属性,运用本体语义关系表达物理流域中的江河湖泊、水利工程和水利对象治理管理活动等实体、概念及其关系,构建了面向防洪兴利的数字孪生流域知识本体。基于水利领域本体模型和设计图数据模式进行结构化分类和关联,快速构建了数字孪生流域知识图谱;再利用MySQL和Neo4j图数据库进行知识混合存储,利用Cypher检索语句查询和应用对象关系,以支撑水利知识的快速检索和定位。In order to support the rapid and efficient construction of digital twin basin knowledge graph,taking the Lishui basin for example,referring to the general classification rules of water conservancy objects,we sorted out the knowledge objects related to Jiangya and Zaoshi reservoir in the Lishui basin,and selected key attributes.Then,we used the ontology semantic relations to express the entities,concepts and relationships of rivers and lakes,water conservancy projects and water conservancy object governance and management activities in physical basins,and constructed digital twin basin knowledge ontology for flood control and benefit.We carried out structured classification and correlation based on the ontology model of water conservancy domain and the design diagram data model,thus realizing the rapid construction of digital twin basin knowledge graph.We used MySQL and Neo4j graph database to mixed store knowledge.Finally,we used Cypher retrieval statement to implement object relational query and application,which could support the rapid retrieval and positioning of water conservancy knowledge.

关 键 词：领域本体 数字孪生 知识图谱 本体语义 图数据库 

分 类 号：P208[天文地球—地图制图学与地理信息工程]