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Articles | Volume XLVIII-G-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-951-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-951-2025
29 Jul 2025
 | 29 Jul 2025

Research on Multi-source Place Name Data Integration and Update Methods

Shangwei Lin, Xiao Du, Xi Guan, Meng Xu, Xueying Liang, Jiage Chen, Chenchen Wu, and Xiaoguang Zhou

Keywords: Multi source Place names, Matching and fusion, Levenshtein Distance, Similarity, Rule library, Transliteration

Abstract. Place names are important basic geographic information resources for surveying and mapping. They play a significant role in maintaining national security, national defense construction, economic development, and other aspects. The construction and development of global geographic information resources require the continuous, efficient acquisition, and integration and updating of place names data. This paper takes the boundaries of the lowest administrative units in the task area as the matching scope and employs a string edit distance algorithm based on the substitution rules of common name synonyms for the similarity calculation and integration and updating of place names. It also uses a multilingual translation method based on a transliteration rule library for foreign language translation, with the addition of collaborative processing verification. This ultimately improves the matching efficiency of multi-source place names elements and ensures the accuracy of foreign place names translation. The research findings have been tested in some national regions and can provide a reference for the production and updating of place names data worldwide.

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