A knowledge graph-driven method for automated Geo-computations: Illustrated with soil erosion and soil potential productivity cases in China
文献类型：期刊论文
| 作者 | Qi, Yanmin1,7; Zhu, Yunqiang1,3,8; Wang, Shu1,3,8; Fu, Ping6; Gao, Zhenji2; Marsh, Stuart5; Farjudian, Amin4 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 143页码:104779 |
| 关键词 | Knowledge graph Automated system Geographic computation Geographic model Soil erosion Soil potential productivity |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2025.104779 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Geo-computation is a crucial process in geographic information science that selects geo-computational models and matches geographic data based on a geo-computational task for detecting, predicting, and simulating geographic entities, events, and phenomena. However, current geo-computations require expertise from users to effectively configure the models, data, and procedures for specialized tasks, which particularly poses challenges for users, especially novice users, as their attention is often drawn to technical details rather than computational analysis of the task. Therefore, we propose a systematic descriptive and procedural method driven by knowledge graphs to capture, organize, and process the essential features of components, relationships, and dynamic computational procedures in geo-computations, aiming to reduce manual involvement and assist in automating model selection and data matching. Then, an application prototype system is developed to implement automated geo-computations that are driven by knowledge graphs. Two application cases, namely, soil erosion and soil potential productivity, are computed to illustrate the accessibility of automated geo-computations supported by our proposed method. As demonstrated by the cases studied, the proposed knowledge graph-driven method improves the efficiency of model selection and configuration, enhances the value of open data, and advances integration of data and models for automated geo-computations. |
| URL标识 | 查看原文 |
| WOS关键词 | WEB SERVICES ; SEMANTIC WEB ; MODELS ; SYSTEM ; EARTH |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001676725000001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221072]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Zhu, Yunqiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; 2.China Geol Survey, Command Ctr Nat Resources Comprehens Survey, Beijing 100055, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China; 4.Univ Birmingham, Sch Math, Birmingham, W Midlands, England; 5.Univ Nottingham, Fac Engn, Nottingham, England; 6.Univ Nottingham, Sch Geog Sci, Ningbo, Peoples R China; 7.Univ Nottingham, Sch Comp Sci, Ningbo, Peoples R China; 8.Univ Chinese Acad Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qi, Yanmin,Zhu, Yunqiang,Wang, Shu,et al. A knowledge graph-driven method for automated Geo-computations: Illustrated with soil erosion and soil potential productivity cases in China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,143:104779. |
| APA | Qi, Yanmin.,Zhu, Yunqiang.,Wang, Shu.,Fu, Ping.,Gao, Zhenji.,...&Farjudian, Amin.(2025).A knowledge graph-driven method for automated Geo-computations: Illustrated with soil erosion and soil potential productivity cases in China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,143,104779. |
| MLA | Qi, Yanmin,et al."A knowledge graph-driven method for automated Geo-computations: Illustrated with soil erosion and soil potential productivity cases in China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 143(2025):104779. |
入库方式： OAI收割
来源：地理科学与资源研究所
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