刘俊楠,刘海砚,陈晓慧,郭漩,朱新铭. 基于地理空间数据的知识图谱构建技术研究[J]. 中文信息学报, 2020, 34(11): 29-36.
LIU Junnan, LIU Haiyan, CHEN Xiaohui, GUO Xuan, ZHU Xinming. Construction of Knowledge Graph Based on Geo-Spatial Data. , 2020, 34(11): 29-36.
Construction of Knowledge Graph Based on Geo-Spatial Data
LIU Junnan1, LIU Haiyan1, CHEN Xiaohui1, GUO Xuan2, ZHU Xinming1
1.School of Data and Target Engineering, Information Engineering University, Zhengzhou, Henan 450001, China; 2.School of Geospatial Information, Information Engineering University, Zhengzhou, Henan 450001, China
Abstract：With the rapid development of 3S 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.
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2020, Vol. 34 
