Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China
Data-driven MPM often overlooks expert knowledge, leading to poor interpretability and overly broad predictions. We convert the semantic information of geological maps into a semantic knowledge graph(Geo-mapSKG). By embedding the Geo-mapSKG using the TransG model and integrating with geochemical dat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2517827 |
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