GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance
文献类型：期刊论文
| 作者 | Zhang, Shao; Xu, Hui; Jia, Yuting; Wen, Ying1; Wang, Dakuo3; Fu, Luoyi; Wang, Xinbing; Zhou, Chenghu4 |
| 刊名 | GEOSCIENCE DATA JOURNAL
 |
| 出版日期 | 2023-10-01 |
| 卷号 | N/A |
| 关键词 | artificial intelligence big data-driven discovery data extraction scientific database human-computer interaction |
| DOI | 10.1002/gdj3.186 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | With the rapid development of big data science, the research paradigm in the field of geosciences has also begun to shift to big data-driven scientific discovery. Researchers need to read a huge amount of literature to locate, extract and aggregate relevant results and data that are published and stored in PDF format for building a scientific database to support the big data-driven discovery. In this paper, based on the findings of a study about how geoscientists annotate literature and extract and aggregate data, we proposed GeoDeepShovel, a publicly available AI-assisted data extraction system to support their needs. GeoDeepShovel leverages state-of-the-art neural network models to support researcher(s) easily and accurately annotate papers (in the PDF format) and extract data from tables, figures, maps, etc., in a human-AI collaboration manner. As a part of the Deep-Time Digital Earth (DDE) program, GeoDeepShovel has been deployed for 8 months, and there are already 400 users from 44 geoscience research teams within the DDE program using it to construct scientific databases on a daily basis, and more than 240 projects and 50,000 documents have been processed for building scientific databases. |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:000940361900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200734]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Shanghai Jiao Tong Univ, Sch Elect Informat Elect Engn, Shanghai, Peoples R China 3.Shanghai Jiao Tong Univ, Shanghai, Peoples R China 4.IBM Res, Cambridge, MA USA |
| 推荐引用方式 GB/T 7714 | Zhang, Shao,Xu, Hui,Jia, Yuting,et al. GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance[J]. GEOSCIENCE DATA JOURNAL,2023,N/A. |
| APA | Zhang, Shao.,Xu, Hui.,Jia, Yuting.,Wen, Ying.,Wang, Dakuo.,...&Zhou, Chenghu.(2023).GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance.GEOSCIENCE DATA JOURNAL,N/A. |
| MLA | Zhang, Shao,et al."GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance".GEOSCIENCE DATA JOURNAL N/A(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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