CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond

被引:13
|
作者
Shen, Yulin [1 ]
Chen, Ziheng [1 ]
Cheng, Gong [1 ]
Qu, Yuzhong [1 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Peoples R China
来源
SEMANTIC WEB - ISWC 2021 | 2021年 / 12922卷
关键词
Knowledge graph; Ontology; Geography;
D O I
10.1007/978-3-030-88361-4_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As part of a long-term research effort to provide students with better computer-aided education, we create CKGG, a Chinese knowledge graph for the geography domain at the high school level. Using GeoNames and Wikidata as a basis, we transform and integrate various kinds of geographical data in different formats from diverse sources, including gridded temperature data in NetCDF, precipitation data in HDF5, solar radiation data in AAIGrid, polygon data in GPKG, climate and ocean current data in images, and government data in tables. The current version of CKGG contains 1.5 billion triples and is accessible as Linked Data. We also publish a reified version for provenance tracking. We illustrate the potential application of CKGG with a prototype.
引用
收藏
页码:429 / 445
页数:17
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