摘要
针对基础地理实体数据统一转换中存在的自动转换率不高、语义化不够等问题,本文提出了一种结合“自顶向下”与“自底向上”的知识图谱构建方法。基于湖南省基础地理实体数据标准,采用七步法构建本体模型,并通过Neo4j图数据库实现可视化。以交通地理实体为例,验证了知识抽取流程。实验结果表明,相较于主流的基础地理实体转换方法,本文方法提高了转换准确率和语义表达能力,并减少了时间消耗,为基础地理实体数据的高效转换和智能化应用提供了技术支撑。
To address the issues of low automation rate and insufficient semantic processing in the unified conversion of fundamental geo-entity data,this paper proposes a knowledge graph construction method that combines a“top-down”and“bottom-up”approach.Based on the Fundamental Geo-Entity Data Standard of Hunan Province,an ontology model is constructed using a seven-step method,and visualization is achieved through the Neo4j graph database.Taking transportation geo-entities as an example,the knowledge extraction process is validated.Experimental results show that compared to traditional methods for fundamental geo-entity conversion,the proposed method improves conversion accuracy,enhances semantic representation capability,and reduces time consumption.These findings demonstrate that the proposed method provides strong technical support for the efficient conversion and intelligent application of fundamental geo-entity data.
作者
邹明普
叶芬
何洁
寇媛
樊蓉
ZOU Mingpu;YE Fen;HE Jie;KOU Yuan;FAN Rong(The First Surveying and Mapping Institute of Hunan Province,Changsha 410119,China;Hunan Engineering Research Center of Realistic 3D Construction and Application Technology,Changsha 410119,China)
出处
《测绘与空间地理信息》
2025年第10期26-30,共5页
Geomatics & Spatial Information Technology
基金
湖南省自然科学基金项目(2023JJ60569)资助。
关键词
基础地理实体
本体构建
知识图谱
图数据库
fundamental geo-entities
ontology construction
knowledge graph
graph database
