Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research

doi:10.1007/s12583-023-1845-z

	Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research
	Zhang, Linna 4,5; Hou, Zhangshuai 1,2,3; Shen, Boheng 1,2,3; Chen, Qing 4,5; Dong, Shaochun 2,3; Fan, Junxuan 1,2,3
刊名	JOURNAL OF EARTH SCIENCE
	2023-10-01
卷号	34 期号:5 页码:1339-1349
关键词	biogeographic unit knowledge base artificial intelligence paleobiogeographic platform knowledge inference knowledge graph
ISSN号	1674-487X
DOI	10.1007/s12583-023-1845-z
通讯作者	Zhang, Linna(lnzhang@nigpas.ac.cn) ; Fan, Junxuan(jxfan@nju.edu.cn)
英文摘要	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.
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
语种	英语
出版者	CHINA UNIV GEOSCIENCES, WUHAN
WOS记录号	WOS:001087592500003
资助机构	National Natural Science Foundation of China ; National Key R & D Program of China ; Fundamental Research Funds for the Central Universities
内容类型	期刊论文
源URL	[http://ir.nigpas.ac.cn/handle/332004/43209]
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.Nanjing Univ, State Key Lab Mineral Deposits Res, Nanjing 210023, Jiangsu, Peoples R China 2.Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing 210023, Peoples R China 3.Nanjing Univ, Sch Earth Sci & Engn, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Life & Palaeoenvironment, Nanjing 210008, Peoples R China 5.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, State Key Lab Palaeobiol & Stratig, Nanjing 210008, Peoples R China
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.