Research on the Fusion Algorithm of Multi-Source Geographical Name Entities
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.
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