多数据源的全球地名翻译比对与匹配方法研究

Research on global place name translation and matching method based on multiple data sources

针对当前单一数据源地名翻译准确率低下的问题,该文从属性相似度等方面出发,利用互联网地名及地图资源,提出了一种基于多数据源的全球地名匹配与翻译方法。设计并开发了基于多数据源的地名翻译工具。使用该方法完成了对全球1∶1000000矢量数据的批量化地名数据处理及地名规范化整理。实验证明,使用该方法较大程度减少了地名处理时的人工工作量,提高了地名匹配效率及其准确性,具有一定的工程实用价值。提出了一种基于多数据源的全球地名匹配与翻译方法,一定程度上改善了单一数据源地名翻译准确率与翻译效率低下的问题。

Aiming at the problem of low accuracy of local name translation of single data source,this paper proposes a global geographical name matching and translation method based on multi-data source from the perspective of attribute similarity and using Internet place names and map resources.A geographical name translation tool based on multiple data sources was designed and developed.This method is used to complete batch data processing and place name normalization of global 1∶1 000 000 vector data.Experiments show that the use of this method greatly reduces the manual workload during the processing of geographical names,improves the efficiency and accuracy of geographical names matching,and has certain engineering practical value.A global geographical name matching and translation method based on multiple data sources is proposed,which improves the translation accuracy and translation efficiency of single data source names to some extent.