An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases-Reference-Cited by-同舟云学术

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An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases

Published:2024-05-31 Issue:8 Volume:38 Page:1468-1485
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Yang Yongquan¹²,Cao Min¹²,Kong Dehui¹²,Hu Xue¹²,Zhang Xueying¹²,Chen Min¹²

Affiliation:

1. Key Laboratory of Virtual Geographic Environment, Ministry of Education of PRC, Nanjing Normal University, Nanjing, China

2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2347393

Reference26 articles.

1. Machine learning for cross-gazetteer matching of natural features

2. Theseus: A framework for managing knowledge graphs about geographical divisions and their evolution

3. HHT: An Approach for Representing Temporally-Evolving Historical Territories

4. Recognizing text in raster maps

5. Approximate topological relations

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