Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph
文献类型：期刊论文
| 作者 | Wang, Chenliang; Shi, Wenjiao; Lv, Hongchen1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 16期号:1页码:158 |
| 关键词 | remote sensing indices knowledge graph data analysis semantic information mathematical formulas parsing |
| DOI | 10.3390/rs16010158 |
| 产权排序 | 1 |
| 英文摘要 | Remote sensing indices are widely used in various fields of geoscience research. However, there are limits to how effectively the knowledge of indices can be managed or analyzed. One of the main problems is the lack of ontology models and research on indices, which makes it difficult to acquire and update knowledge in this area. Additionally, there is a lack of techniques to analyze the mathematical semantics of indices, making it difficult to directly manage and analyze their mathematical semantics. This study utilizes an ontology and mathematical semantics integration method to offer a novel knowledge graph for a remote sensing index knowledge graph (RSIKG) so as to address these issues. The proposed semantic hierarchical graph structure represents the indices of knowledge with an entity-relationship layer and a mathematical semantic layer. Specifically, ontologies in the entity-relationship layer are constructed to model concepts and relationships among indices. In the mathematical semantics layer, index formulas are represented using mathematical semantic graphs. A method for calculating similarity for index formulas is also proposed. The article describes the entire process of building RSIKG, including the extraction, storage, analysis, and inference of remote sensing index knowledge. Experiments provided in this article demonstrate the intuitive and practical nature of RSIKG for analyzing indices knowledge. Overall, the proposed methods can be useful for knowledge queries and the analysis of indices. And the present study lays the groundwork for future research on analysis techniques and knowledge processing related to remote sensing indices. |
| WOS关键词 | VEGETATION INDEXES ; ROBUST ; FRAMEWORK ; EFFICIENT ; NETWORK ; WATER ; MAPS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001140710200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201673]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.SuperMap Software Co Ltd, Beijing 100015, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chenliang,Shi, Wenjiao,Lv, Hongchen. Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph[J]. REMOTE SENSING,2024,16(1):158. |
| APA | Wang, Chenliang,Shi, Wenjiao,&Lv, Hongchen.(2024).Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph.REMOTE SENSING,16(1),158. |
| MLA | Wang, Chenliang,et al."Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph".REMOTE SENSING 16.1(2024):158. |
入库方式： OAI收割
来源：地理科学与资源研究所
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