摘要
智慧城市的发展使人们对地名数据库的要求越来越高,但用户从网络爬取的地名数据往往存在数据质量不高、数据格式不一致、空间基准不一致、数据冗余等问题。通过对多源数据的获取与数据的预处理、多源数据的匹配等方面进行研究,丰富了地名数据的数量和质量,提高了地名数据的现势性,提高了地名数据库的更新效率,丰富了地名数据匹配融合的相关研究理论。
The development of smart cities leads to people's higher and higher requirements for the geographical name database,but the geographical name data that users can crawl from the Internet often has problems such as low data quality,inconsistent data formats,inconsistent spatial benchmarks and data redundancy.This paper studies the acquisition,pre-processing and matching of multi-source data,which enriches the quantity and quality of geo-graphical name data,improves its uptodate state,enhances the updating efficiency of the geographical name data-base,and promotes the research theory related to the matching and fusion of geographical name data.
作者
周逍杭
ZHOU Xiaohang(School of Geomatics and Urban Spatial Informatics,Beijing University of Civil Engineering and Architecture,Beijing,102612 China)
出处
《科技资讯》
2024年第8期19-21,共3页
Science & Technology Information
关键词
多源地名
缩写字检测
相似度匹配
信息融合
Multi-source geographical names
Acronym detection
Similarity matching
Information fusion
