基于有限信息的地名地址匹配引擎研究与实现  

Research and Implementation of Geographic Name and AddressMatching Engine Based on Limited Information

作　　者：张翔 王乃生 ZHANG Xiang;WANG Naisheng(Shaanxi Geomatics Center,Ministry of Natural Resources,Xi’an 710054,China)

机构地区：[1]自然资源部陕西基础地理信息中心,陕西西安710054

出　　处：《测绘与空间地理信息》2021年第11期36-39,共4页Geomatics & Spatial Information Technology

基　　金：陕西测绘地理信息局科技创新项目(SCK2018-13)资助。

摘　　要：地名地址匹配引擎是连接地理信息与其他数据的桥梁,在智慧城市建设中发挥着至关重要的作用,但已有的地名地址数据库已经无法与当前城乡建设快速发展的实际情况相适应。为解决地名地址信息变化快、数量多但地名地址信息采集更新滞后的问题,本文基于有限地名地址信息,设计了以层级地址模型为基础的地名地址匹配算法,优先针对已有的标准地址进行精准匹配,对地名地址库中缺失的地址或非标准地址参照已有标准地址进行插值计算,实现了基于有限信息的地名地址匹配,提升了数据匹配精度,为智慧城市时空大数据平台提供了高效可靠的地名地址引擎解决方案。The geographic name and address matching engine is a bridge connecting geographic information and other data,that plays a vital role in the construction of smart cities,however,the existing geographic name and address database can no longer adapt to the actual situation of the current rapid development of urban and rural construction.In order to solve the problem of rapid change of address information,large quantity,and lag in the collection and update of geographic address information,this paper designed a geographic name and address matching algorithm based on a hierarchical address model and limited place-name address information.It prioritized accurate matching of existing standard addresses,and performed interpolation calculations for addresses that are missing or non-standard addresses in the geographic name address database,which realized geographic name and address matching based on limited information.It improves the accuracy of data matching.The geographic name and address matching engine can be used for the platform of smart city spatio-temporal big data.

关 键 词：层级地址模型 地名地址匹配 地址插值 精准匹配 有限信息 

分 类 号：P281[天文地球—地图制图学与地理信息工程]