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Linking geo-models for geomorphological classification using knowledge graphs

文献类型：期刊论文

作者Qi, Yanmin6,7; Zhu, Yunqiang1,5,6; Wang, Shu5,6; Zhong, Yutao4; Marsh, Stuart3; Farjudian, Amin2; Du, Heshan7
刊名COMPUTERS & GEOSCIENCES
出版日期2025-02-01
卷号196页码:105873
关键词Knowledge graph Geographic computation Geographic model Geomorphological classification
ISSN号0098-3004
DOI10.1016/j.cageo.2025.105873
产权排序2
文献子类Article
英文摘要Geographic computation is an important process in geographic information systems to detect, predict, and simulate geographic entities, events, and phenomena, which is performed through a series of geographic models over geographic data. However, selecting and sequencing appropriate models is challenging for users with limited knowledge. To automate the process of linking models into workflows, a knowledge graph-based approach is proposed. In this approach, the first part is to construct a knowledge graph that integrates knowledge from geographic models and domain experts. Then, an algorithm is designed to assist the constructed knowledge graph in automating model linking. This paper takes the geomorphological classification of the Hengduan Mountains in China as a case study, which geomorphological classification maps are generated by performing querying and computing through the geomorphological classification knowledge graph. Experimental results demonstrate that the proposed knowledge graph-based approach links the models into workflows automatically and generates reliable classification results.
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WOS关键词TERRAIN ANALYSIS ; GIS
WOS研究方向Computer Science ; Geology
语种英语
WOS记录号WOS:001420828400001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/212404]  
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.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
2.Univ Birmingham, Sch Math, Birmingham, England;
3.Univ Nottingham, Fac Engn, Nottingham, England;
4.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China;
5.Univ Chinese Acad Sci, Beijing, Peoples R China;
6.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China;
7.Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo, Peoples R China;
推荐引用方式
GB/T 7714		 Qi, Yanmin,Zhu, Yunqiang,Wang, Shu,et al. Linking geo-models for geomorphological classification using knowledge graphs[J]. COMPUTERS & GEOSCIENCES,2025,196:105873.
APA Qi, Yanmin.,Zhu, Yunqiang.,Wang, Shu.,Zhong, Yutao.,Marsh, Stuart.,...&Du, Heshan.(2025).Linking geo-models for geomorphological classification using knowledge graphs.COMPUTERS & GEOSCIENCES,196,105873.
MLA Qi, Yanmin,et al."Linking geo-models for geomorphological classification using knowledge graphs".COMPUTERS & GEOSCIENCES 196(2025):105873.

入库方式： OAI收割

来源：地理科学与资源研究所

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