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基于知识图谱的水资源承载力评价指标体系构建方法研究

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为了解决水资源承载力影响因素的复杂性问题,引入知识图谱技术,以海量研究成果作为数据源,通过知识抽取建立指标实体集合、耦合熵值和变差系数增强指标的代表性、基于最大信息系数的知识合并减少指标的交叉和重复、运用灰色关联的知识推理遴选关键指标,最后基于专家咨询形成高质量知识并应用Neo4j图数据库对实体、关系、属性等指标知识进行存储与服务.这种基于知识图谱所构建的指标体系不仅知识性强,而且系统全面,较好地解决了水资源承载力影响因素复杂性建模问题,为水资源承载力评价指标体系构建提供了一种新方法.
Research on Construction Method of Water Resources Carrying Capacity Evaluation Indicator System Based on Knowledge Graph
In order to solve the complexity problem of water resources carrying capacity influencing factors,this pa-per introduces knowledge graph technology and takes massive research results as data sources.The indicator entities set is established through knowledge extraction.Entropy value and variation coefficient is coupled to enhance the representa-tiveness of indicators.Knowledge merging based on the maximum information coefficient reduces the crossover and dupli-cation of indicators.Grey correlation knowledge reasoning is used to select the key indicators.Finally,high-quality knowledge based on expert consultation is formed and the indicator knowledge such as entities,relationships,and attrib-utes is stored using the Neo4j graph database.This indicator system based on knowledge graph is not only knowledgea-ble,but also comprehensive,which solves the problem of complex modeling of influencing factors of water carrying ca-pacity,and provides a new method for the construction of water resource carrying capacity evaluation indicator system.

water resources carrying capacityknowledge graphevaluation indicator systemmethod

任娟慧、任波、李慧姝

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太原理工大学电气与动力工程学院,山西 太原 030024

山西省水文水资源勘测总站,山西 太原 030001

山西能源学院,山西 晋中 030600

水资源承载力 知识图谱 评价指标体系 方法

山西省重点研发项目

202202020101007

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(8)