A Multi-Semantic Feature Fusion Method for Complex Address Matching of Chinese Addresses

A Multi-Semantic Feature Fusion Method for Complex Address Matching of Chinese Addresses

Accurate address matching is crucial for the analysis, integration, and intelligent management of urban geospatial data and is also a key step in achieving geocoding. However, due to the complexity, diversity, and irregularity of address expression, address matching becomes a challenging task. This...

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Bibliographic Details
Main Authors: Pengpeng Li, Qing Zhu, Jiping Liu, Tao Liu, Ping Du, Shuangtong Liu, Yuting Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
address matching
multi-semantic feature fusion
Text-RCNN
GAT
ESIM
Online Access:https://www.mdpi.com/2220-9964/14/6/227
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