Landslide knowledge graph construction
In the contemporary era of big data, the field of landslide research has amassed a substantial volume of data. To effectively leverage this data, a bottom-up approach can be employed to construct a landslide knowledge graph, facilitating efficient retrieval and comprehensive analysis of landslide information. This paper proposes a framework for the construction of such a knowledge graph, aiming to integrate geological hazard data. The framework utilizes graph database technology for storage and enables visualization of the knowledge graph, enhancing its usability and interpretability.
Authors
- Yuhan Hou (ORCID: https://orcid.org/0000-0002-8988-1718)
- Runqing Ye (ORCID: https://orcid.org/0009-0000-6184-9196)
- Xiaolin Fu
- Runze Wu
- Jue Huang (ORCID: https://orcid.org/0000-0002-9984-366X)
Institutions
- China Three Gorges Corporation (China) (CN)
- China Geological Survey (CN)
- China University of Geosciences (CN)
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1117/12.3061511
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China