摘要
随着3S技术迅猛发展,地理空间数据呈现出爆发式增长趋势,基于地理空间数据构建知识图谱,实现数据到空间知识的转换成为亟待解决的科学问题。针对通用知识图谱仅以属性和语义关系表示空间知识,以及空间关系相对缺失等问题,该文首先描述了空间关系的表示方法;其次,提出了基于空间关系的知识图谱构建技术流程,重点研究空间关系抽取和表示以及多源地理空间数据融合的问题,实现了地理知识图谱构建;最后,论述知识图谱在地理空间领域的应用方向。该研究可以促进地理空间数据和语义网技术的整合,实现网络文本空间化、空间数据语义化,进一步提高智能化服务水平。
With the rapid development of 3 S technology,there is an explosive growth in geo-spatial data.It has become an urgent scientific problem to construct knowledge graph based on geo-spatial data so as to realize the transformation from data to knowledge.In the general knowledge graph,geo-spatial knowledge is only represented for the attribute or the semantic relationship,with the spatial relationship missed.This paper first designs the representation method of spatial relationship.Then,it proposes the technical map of knowledge graph construction based on spatial relationship,focusing on the spatial relationship extraction and multi-source geographic data fusion.We also discuss the application direction of knowledge graph in the field of geo-spatial:promoting the integration of geo-spatial data and semantic web technologies.
作者
刘俊楠
刘海砚
陈晓慧
郭漩
朱新铭
LIU Junnan;LIU Haiyan;CHEN Xiaohui;GUO Xuan;ZHU Xinming(School of Data and Target Engineering,Information Engineering University,Zhengzhou,Henan 450001,China;School of Geospatial Information,Information Engineering University,Zhengzhou,Henan 450001,China)
出处
《中文信息学报》
CSCD
北大核心
2020年第11期29-36,共8页
Journal of Chinese Information Processing
基金
河南省自然科学基金(182300410005)
国家自然科学基金(41801313)。
关键词
语义网
知识图谱
地理空间数据
空间关系
semantic web
knowledge graph
geo-spatial data
spatial relation
