An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene
Virtual geographic scenes can significantly facilitate the visualization and comprehension of the real world. However, the multitude of object types and complex relationships they contain make it challenging to display embedded geographic knowledge. Knowledge graphs help organize object entities and...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2449185 |
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| _version_ | 1841555757995130880 |
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| author | Yukun Guo Jun Zhu Jianlin Wu Jinbin Zhang Zhihao Guo Weilian Li Heng Zhang |
| author_facet | Yukun Guo Jun Zhu Jianlin Wu Jinbin Zhang Zhihao Guo Weilian Li Heng Zhang |
| author_sort | Yukun Guo |
| collection | DOAJ |
| description | Virtual geographic scenes can significantly facilitate the visualization and comprehension of the real world. However, the multitude of object types and complex relationships they contain make it challenging to display embedded geographic knowledge. Knowledge graphs help organize object entities and their relationships within scenes, which makes it easier to store and express geographic knowledge. Current methods for constructing knowledge graphs for virtual geographic scenes suffer from issues such as weak automation, low dimensionality, and poor cognitive efficiency. Thus, this paper presents a method for automatically constructing knowledge graphs by integrating intelligent systems. The method involves designing a multiagent system to extract entities and relationships hidden in virtual geographic scenes. In addition, a three-dimensional visualization approach is proposed for knowledge graphs constrained by spatiotemporal relationships. A virtual scene containing 2,183 objects was selected as the experimental area for constructing and displaying the knowledge graph. The results demonstrate that the method constructs a knowledge graph with 12,958 relationships within 300 s in common network and hardware settings. In addition, a knowledge graph offers better completeness at small scales compared to other geographic knowledge graphs, and it can also enhance the cognitive efficiency of understanding scene relationships. |
| format | Article |
| id | doaj-art-7b605767ddfe4dcc8f036d7ca17b89a2 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-7b605767ddfe4dcc8f036d7ca17b89a22025-01-08T03:10:53ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-12-0118110.1080/17538947.2024.2449185An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic sceneYukun Guo0Jun Zhu1Jianlin Wu2Jinbin Zhang3Zhihao Guo4Weilian Li5Heng Zhang6Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaChina Railway Design Corporation, Tianjin, People’s Republic of ChinaVirtual geographic scenes can significantly facilitate the visualization and comprehension of the real world. However, the multitude of object types and complex relationships they contain make it challenging to display embedded geographic knowledge. Knowledge graphs help organize object entities and their relationships within scenes, which makes it easier to store and express geographic knowledge. Current methods for constructing knowledge graphs for virtual geographic scenes suffer from issues such as weak automation, low dimensionality, and poor cognitive efficiency. Thus, this paper presents a method for automatically constructing knowledge graphs by integrating intelligent systems. The method involves designing a multiagent system to extract entities and relationships hidden in virtual geographic scenes. In addition, a three-dimensional visualization approach is proposed for knowledge graphs constrained by spatiotemporal relationships. A virtual scene containing 2,183 objects was selected as the experimental area for constructing and displaying the knowledge graph. The results demonstrate that the method constructs a knowledge graph with 12,958 relationships within 300 s in common network and hardware settings. In addition, a knowledge graph offers better completeness at small scales compared to other geographic knowledge graphs, and it can also enhance the cognitive efficiency of understanding scene relationships.https://www.tandfonline.com/doi/10.1080/17538947.2024.2449185virtual geographic scenethree-dimensional knowledge graphmulti-agent systemautomatic constructioncrowdsourcing |
| spellingShingle | Yukun Guo Jun Zhu Jianlin Wu Jinbin Zhang Zhihao Guo Weilian Li Heng Zhang An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene International Journal of Digital Earth virtual geographic scene three-dimensional knowledge graph multi-agent system automatic construction crowdsourcing |
| title | An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene |
| title_full | An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene |
| title_fullStr | An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene |
| title_full_unstemmed | An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene |
| title_short | An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene |
| title_sort | automated construction method of 3d knowledge graph based on multi agent systems in virtual geographic scene |
| topic | virtual geographic scene three-dimensional knowledge graph multi-agent system automatic construction crowdsourcing |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2449185 |
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