摘要
以人工智能背景下的智能地图制图为切入点,分析了时空大数据给地图学带来的冲击,指出地图可能的三个演化方向,剖析了智能制图内涵及其具有的众源数据、用户参与、模型耦合和可视化分析等特征,深入讨论智能制图显性和隐性知识表征,提出建立地图知识图谱的构想,总结了基于低代码技术的平台开发范式。
This paper takes smart cartography in the context of artificial intelligence as the starting point,analyzes the impact of space-time big data on cartography,points to three possible directions for the evolution of the map,explains the connotation of smart cartography and its characteristics of crowd-sourced data,user participation,model coupling and visual analysis,discusses in depth the explicit and implicit knowledge representation of smart cartography,proposes the idea of establishing a map knowledge graph,and outlines a platform development paradigm based on low-code technology.
作者
任福
翁杰
王昭
张琛
游泽威
REN Fu;WENG Jie;WANG Zhao;ZHANG Chen;YOU Zewei(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;Key Laboratory of Geographic Information System,Ministry of Education,Wuhan 430079,China;Key Laboratory of Digital Cartography and Land Information Application,Ministry of Natural Resources,Wuhan 430079,China;Collaborative Innovation Center of Geospatial Technology,Wuhan 430079,China)
出处
《武汉大学学报(信息科学版)》
EI
CAS
CSCD
北大核心
2022年第12期2064-2068,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(42071448)。
关键词
智能制图
知识表征
地图知识图谱
低代码
smart cartography
knowledge representation
map knowledge graph
low code