KMS Nanjing Institute of Geology and Palaeonotology,CAS
Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research | |
Zhang, Linna1,2; Hou, Zhangshuai3,4,5; Shen, Boheng3,4,5; Chen, Qing1,2; Dong, Shaochun3,4; Fan, Junxuan3,4,5 | |
2023-10-01 | |
发表期刊 | JOURNAL OF EARTH SCIENCE |
ISSN | 1674-487X |
卷号 | 34期号:5页码:1339-1349 |
摘要 | Paleobiogeography investigates geographical distributions of fossil organisms and controlling factors that affect their distributions in geological history, to reveal the macro-evolution and coordinated development of life and the environment. It is a crucial window for understanding the biosphere and the geographical environment. After two centuries of development, paleobiogeographic studies have led to the accumulation of significant amounts of knowledge and data; however, the voluminous outputs present the characteristics of an "isolated island" with a scattered, limited number of authoritative definitions of terminologies and semantic heterogeneity among them. This makes data queries cumbersome, the rate of data reuse low, and data sharing more difficult. A knowledge graph (KG) has the advantage of expressing concepts and their semantic relations, which is an important tool for achieving data organization and fusion, and data mining; further, it is also a key technology for realizing the unrestricted sharing of paleobiogeographic information. Through our efforts over the past two years, a paleobiogeographic KG was developed based on the established construction procedure of the KG, which contains 273 concepts, 172 properties, and 47 rules. Meanwhile, the completion of this KG and the construction of a paleobiogeographic platform for display and analysis are now being carried out. |
关键词 | biogeographic unit knowledge base artificial intelligence paleobiogeographic platform knowledge inference knowledge graph |
DOI | 10.1007/s12583-023-1845-z |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[42172174] ; National Natural Science Foundation of China[41802017] ; National Natural Science Foundation of China[42250104] ; National Key R & D Program of China[2018YFE0204201] ; Fundamental Research Funds for the Central Universities[0206-14380168] |
WOS研究方向 | Geology |
WOS类目 | Geosciences, Multidisciplinary |
WOS记录号 | WOS:001087592500003 |
项目资助者 | National Natural Science Foundation of China ; National Key R & D Program of China ; Fundamental Research Funds for the Central Universities |
出版者 | CHINA UNIV GEOSCIENCES, WUHAN |
文献类型 | 期刊论文 |
条目标识符 | http://ir.nigpas.ac.cn/handle/332004/43210 |
专题 | 中国科学院南京地质古生物研究所 |
通讯作者 | Zhang, Linna; Fan, Junxuan |
作者单位 | 1.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, State Key Lab Palaeobiol & Stratig, Nanjing 210008, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Life & Palaeoenvironment, Nanjing 210008, Peoples R China 3.Nanjing Univ, Sch Earth Sci & Engn, Nanjing 210023, Peoples R China 4.Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing 210023, Peoples R China 5.Nanjing Univ, State Key Lab Mineral Deposits Res, Nanjing 210023, Jiangsu, Peoples R China |
第一作者单位 | 中国科学院南京地质古生物研究所 |
通讯作者单位 | 中国科学院南京地质古生物研究所 |
推荐引用方式 GB/T 7714 | Zhang, Linna,Hou, Zhangshuai,Shen, Boheng,et al. Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research[J]. JOURNAL OF EARTH SCIENCE,2023,34(5):1339-1349. |
APA | Zhang, Linna,Hou, Zhangshuai,Shen, Boheng,Chen, Qing,Dong, Shaochun,&Fan, Junxuan.(2023).Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research.JOURNAL OF EARTH SCIENCE,34(5),1339-1349. |
MLA | Zhang, Linna,et al."Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research".JOURNAL OF EARTH SCIENCE 34.5(2023):1339-1349. |
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