We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A method for the quality inspection and update of cadastral data based on spatio - temporal knowledge graphs.
- Authors
CHEN Luanjie; LI Weichao; PENG Ling; CHEN Jiahui; GAO Xiang
- Abstract
Accurate and efficient quality inspection and database updates of cadastral data are essential for natural resource management. The current cadastral data management faces problems such as the low efficiency of quality inspection and updates, difficulty in meeting the demand for dynamic supervision, and small application scopes of relevant methods. To solve these problems, this study proposed a method framework based on spatio - temporal knowledge graphs. Moreover, with cadastral data and remote sensing images as data sources, this study constructed a spatio - temporal knowledge graph targeting the quality inspection and update workflow of cadastral data by designing conceptual and data layers and inference rules. Finally, experiments on the method proposed in this study were conducted using seven parcels of land in Changsha. As a result, the common errors in the process of quality inspection and updates were solved, and the method proposed in this study was proven to be more efficient than common methods.
- Subjects
CHANGSHA (Hunan Sheng, China); KNOWLEDGE graphs; INSPECTION &; review; NATURAL resources management; DATABASES; REMOTE sensing; CONCEPTUAL design
- Publication
Remote Sensing for Natural Resources, 2023, Vol 35, Issue 1, p243
- ISSN
2097-034X
- Publication type
Article
- DOI
10.6046/zrzyyg.2022022