| Citation: | Linna Zhang, Zhangshuai Hou, Boheng Shen, Qing Chen, Shaochun Dong, Junxuan Fan. Paleobiogeographic Knowledge Graph: An Ongoing Work with Fundamental Support for Future Research. Journal of Earth Science, 2023, 34(5): 1339-1349. doi: 10.1007/s12583-023-1845-z
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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.
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