Methodology, progress and challenges of geoscience knowledge graph in International Big Science Program of Deep-Time Digital Earth

Deep-time Earth research plays a pivotal role in deciphering the rates, patterns, and mechanisms of Earth’s evolutionary processes throughout geological history, providing essential scientific foundations for climate prediction, natural resource exploration, and sustainable planetary stewardship. To...

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Bibliographic Details
Published in:Journal of geographical sciences 2025-05, Vol.35 (5), p.1132-1156
Main Authors: Zhu, Yunqiang, Wang, Qiang, Wang, Shu, Sun, Kai, Wang, Xinbing, Lv, Hairong, Hu, Xiumian, Zhang, Jie, Wang, Bin, Qiu, Qinjun, Yang, Jie, Zhou, Chenghu
Format: Article
Language:English
Subjects:
Artificial intelligence
Big Data
Climate prediction
DDE
Earth
Earth and Environmental Science
Earth science
Geographical Information Systems/Cartography
Geography
Geological history
Geology
Infrastructure
Knowledge representation
Natural resources
Nature Conservation
Nitrous oxide
Physical Geography
Remote Sensing/Photogrammetry
Resource exploration
Review Article
Science programs
Citations: Items that this one cites
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