More intelligent knowledge graph: A large language model-driven method for knowledge representation in geospatial digital twins
Knowledge graphs (KGs) can describe the nature and relationships of geographic entities and are an essential knowledge base for realizing geospatial digital twins (GDTs). However, existing KGs make it challenging to describe dynamic geographic entities under geographic spatiotemporal evolution accur...
Saved in:
| Main Authors: | Jinbin Zhang, Jun Zhu, Zhihao Guo, Jianlin Wu, Yukun Guo, Jianbo Lai, Weilian Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225001748 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Geographic knowledge graph-guided twin modeling method for complex city scene
by: Zhihao Guo, et al.
Published: (2025-08-01) -
Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models
by: Jianyuan Liang, et al.
Published: (2025-04-01) -
A question-answering framework for geospatial data retrieval enhanced by a knowledge graph and large language models
by: Hao Li, et al.
Published: (2025-08-01) -
Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference
by: Jinlan Kong, et al.
Published: (2025-08-01) -
An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene
by: Yukun Guo, et al.
Published: (2025-08-01)