NIGPAS OpenIR
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
ISSN1674-487X
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
DOI10.1007/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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