Ontology-driven relational data mapping for constructing a knowledge graph of porphyry copper deposits-Reference-Cited by-同舟云学术

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Ontology-driven relational data mapping for constructing a knowledge graph of porphyry copper deposits

Published:2024-04-13 Issue:3 Volume:17 Page:2649-2660
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Wang Chengbin,Tan Liangquan,Li Yuanjun,Wang Mingguo,Ma Xiaogang,Chen Jianguo

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Knowledge Innovation Program of Wuhan-Shuguang

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12145-024-01307-5.pdf

Reference45 articles.

1. Bergen KJ, Johnson PA, de Hoop MV, Beroza GC (2019) Machine learning for data-driven discovery in solid Earth geoscience. Science 363(6433):eaau0323. https://doi.org/10.1126/science.aau0323

2. Cerans K, Būmans G (2015) RDB2OWL: A Language and Tool for Database to Ontology Mapping. (Paper presented at the CAISE 2015 Forum)

3. Chen Q, Yao H, Li S, Li X, Kang X, Lai W, Kuang J (2023) Fact-condition statements and super relation extraction for geothermic knowledge graphs construction. Geosci Front 14(5). https://doi.org/10.1016/j.gsf.2022.101412

4. Chhaya P, Lee K-H, Shin K-s, Choi C-H, Cho W-S, Lee Y-S (2016) ‘Using D2RQ and Ontop to publish relational database as Linked Data’ 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, pp. 694–698

5. Cox SJ, Richard S (2015) A geologic timescale ontology and service. Earth Sci Inf 8:5–19

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