GIS领域知识图谱进展研究  

Research on the Progress of Knowledge Graph in GIS Field

作　　者：罗强 胡中南[1,2] 王秋妹 石伟伟 贾玥[3] LUO Qiang;HU Zhongnan;WANG Qiumei;SHI Weiwei;JIA Yue(SuperMap Software Co.,Ltd.,Beijing 100015,China;GIS Technology Innovation Center of Ministry of Natural Resources,Beijing 100015,China;Carnegie Mellon University,Pittsburgh 15213,USA)

机构地区：[1]北京超图软件股份有限公司,北京100015 [2]自然资源部地理信息系统技术创新中心,北京100015 [3]卡内基·梅隆大学,美国匹兹堡15213

出　　处：《测绘地理信息》2023年第1期60-67,共8页Journal of Geomatics

基　　金：国家重点研发计划(2018YFB2100700)。

摘　　要：目前,GIS领域的人工智能(artificial intelligence,AI)技术更多被应用于空间信息提取,虽已替代部分人工交互的工作,但还未达到决策层面的“智慧”。如何进一步解译和推理提取的空间信息,提炼出地理知识,从而实现地理决策,将是未来GIS发展的长远目标。知识图谱技术与GIS的结合可为实体赋予丰富的语义化信息和结构化信息,在空间对象的精细化管理、计算推理及辅助决策等方面有着广阔的发展前景。综合知识图谱在GIS领域的相关研究进展,从地理信息知识的抽取、融合、存储、检索和计算推理几个方面进行了系统阐述,总结了相关技术的难点与挑战,探索并展望了GIS知识图谱在三维时空信息及智慧城市建设等方面的应用。At present,artificial intelligence(AI)technology in the field of GIS is more widely used in the extraction of spatial information.Although it has replaced part of the work of artificial interaction,it is not smart at the decision level.How to further interpret and reason the extracted spatial information,and extract geographic knowledge to realize geographic decision will be the long-term goal of GIS development in the future.The combination of knowledge graph and GIS can give rich semantic information and structured information to entities,which has a broad development prospect in fine management,computational reasoning,decision-making assistance of spatial object.Based on the relevant research progress of knowledge graph in GIS,we systematically expound the extraction,fusion,storage,retrieval,computational reasoning of geographic information knowledge,summarize the difficulties and challenges of relevant technologies,and explore and prospect the applications of GIS knowledge graph in 3D spatiotemporal information and smart city construction.

关 键 词：知识图谱 语义网 时空关系 GIS 人工智能(artificial intelligence AI) 

分 类 号：P208[天文地球—地图制图学与地理信息工程]