测绘通报 ›› 2023, Vol. 0 ›› Issue (2): 167-171,181.doi: 10.13474/j.cnki.11-2246.2023.0059

• 技术交流 • 上一篇    下一篇

一种基于众源地名数据构建全球中外文地名数据资源建设方法

关茜, 龙云涛, 司连法, 王梅红, 张迪, 贺风, 侯笑宇   

  1. 中国地图出版社有限公司, 北京 100054
  • 收稿日期:2022-03-24 发布日期:2023-03-01
  • 通讯作者: 龙云涛。E-mail:longyuntao@sinomaps.com
  • 作者简介:关茜(1989-),女,硕士,工程师,主要从事GIS研究工作。E-mail:woshi.guanxi@163.com
  • 基金资助:
    全球地理信息资源建设与维护更新(12130040)

A construction method of global geographic name data resources based on crowd geographic name data

GUAN Xi, LONG Yuntao, SI Lianfa, WANG Meihong, ZHANG Di, HE Feng, HOU Xiaoyu   

  1. Sinomaps Press Co., Ltd., Beijing 100054, China
  • Received:2022-03-24 Published:2023-03-01

摘要: 面向全球地理信息资源建设,本文以众源地名数据为基础,研究了基于众源地名数据建设全球中外文地名信息的生产工艺和流程,并对数据分析、数据预处理、分类分级、融合匹配、密度控制、错误修正、多语言地名翻译和质量检查等关键环节和技术进行了研究和探讨。初步建立了全球地名数据资源快速、规模化生产工艺,介绍了依托该工艺生产建设的全球地名数据成果和应用情况,为全球地名数据资源的标准化建设提供借鉴和参考。

关键词: 众源数据, 地名, 融合匹配, 地名翻译, 自动翻译

Abstract: Oriented to the construction of global geographic information resources, in this paper, we study the production process and the critical technology of comparison analysis, data pre-processing, classification and gradation, fusion matching, density control, fault fixing, multi-language geographic name translation and quality inspection of constructing global geographic name resources based on crowd sourcing data. A rapid and large-scale production process is established, the achievements and application are introduced, aimed to providing reference for the standardization construction of global geographical names data resources.

Key words: crowd sourcing data, geographic name, fusion matching, geographic name translation, automatic translation

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