A practical approach to building a calcareous nannofossil knowledge graph
文献类型：期刊论文
| 作者 | Zhao, Hongyi1,2; Hu, Bin1,2; Ma, Chao3,4,5; Jiang, Shijun6; Zhang, Yi1,2; Li, Xin7 ; Chen, Lirong8; Cai, Can1,2; Ye, Longgang3; Zhou, Shengjian3
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| 刊名 | GEOSCIENCE DATA JOURNAL
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| 出版日期 | 2025 |
| 卷号 | 12期号:1页码:12 |
| 关键词 | calcareous nannofossils data science knowledge graph paleontological data resource description framework (RDF) language |
| ISSN号 | 2049-6060 |
| DOI | 10.1002/gdj3.279 |
| 通讯作者 | Hu, Bin(bhu@cugb.edu.cn) |
| 英文摘要 | Following sustained development, numerous palaeontology databases and datasets of various types have been created. However, the lack of a unified standard language to describe knowledge and unclear sharing mechanisms between different databases and datasets has limited the large-scale integration and application of paleontological data. The knowledge graph, as a key technology for semantic translation and data fusion, offers a possible solution to these challenges. Given the potential of knowledge graphs to overcome these obstacles, this paper presents a practical approach to express paleontological knowledge in a knowledge graph via the resource description framework language. By delving into the structured data associated with calcareous nannofossil biozones (the UC zone, CC zone and NC zone), we propose an ontology to describe the semantic units and logical relationships of paleontological biozones and species and then integrate relevant species records from unstructured research reports to construct a knowledge graph for calcareous nannofossils, that integrates multisource paleobiological data and knowledge reconstruction. Our focus lies in detailing the technical aspects of constructing a paleontological knowledge graph. The results demonstrate that knowledge graphs can integrate semistructured and unstructured paleontological data from various sources. This work aims to assist palaeontologists in building and utilizing knowledge graphs, serving as an initial effort for future paleontological knowledge reasoning. |
| WOS关键词 | SEMANTIC WEB ; REPRESENTATION |
| 资助项目 | National Natural Science Foundation of China ; Big Science Program ; [42488201] ; [42050104] ; [42050102] ; [42372004] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001388842900001 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of China ; Big Science Program |
| 源URL | [http://ir.nigpas.ac.cn/handle/332004/44769]  |
| 专题 | 中国科学院南京地质古生物研究所 |
| 通讯作者 | Hu, Bin |
| 作者单位 | 1.China Univ Geosci, State Key Lab Biogeol & Environm Geol, Beijing 100083, Peoples R China 2.China Univ Geosci, Sch Earth Sci & Resources, Beijing, Peoples R China 3.Chengdu Univ Technol, Inst Sedimentary Geol, Chengdu, Peoples R China 4.Chengdu Univ Technol, Inst Sedimentary Geol, Coll Comp Sci & Cyber Secur, State Key Lab Oil & Gas Reservoir Geol & Exploitat, Chengdu, Peoples R China 5.Chengdu Univ Technol, Key Lab Deep Time Geog & Environm Reconstruct & Ap, Minist Nat Resources, Chengdu, Peoples R China 6.Hohai Univ, Coll Oceanog, Nanjing, Peoples R China 7.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, Key Lab Palaeobiol & Petr Stratig, Nanjing, Peoples R China 8.China Ocean Press, Inst Marine Big Data & Knowledge Serv, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Hongyi,Hu, Bin,Ma, Chao,et al. A practical approach to building a calcareous nannofossil knowledge graph[J]. GEOSCIENCE DATA JOURNAL,2025,12(1):12. |
| APA | Zhao, Hongyi.,Hu, Bin.,Ma, Chao.,Jiang, Shijun.,Zhang, Yi.,...&Wang, Chengshan.(2025).A practical approach to building a calcareous nannofossil knowledge graph.GEOSCIENCE DATA JOURNAL,12(1),12. |
| MLA | Zhao, Hongyi,et al."A practical approach to building a calcareous nannofossil knowledge graph".GEOSCIENCE DATA JOURNAL 12.1(2025):12. |
入库方式： OAI收割
来源：南京地质古生物研究所
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