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.

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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

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article

Landslide knowledge graph construction

Yuhan Hou, Runqing Ye, Xiaolin Fu, Runze Wu et al.
Semantic Web and Ontologies
article

Landslide knowledge graph construction

Yuhan Hou, Runqing Ye, Xiaolin Fu, Runze Wu, Jue Huang
article en

Abstract

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.

China Three Gorges Corporation (China) (CN), China Geological Survey (CN), China University of Geosciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Semantic Web and Ontologies
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