针对数字城市地理空间框架建设中地址匹配的具体需求和现存中文地址匹配方法中存在的问题,该文提出一种多元地址要素组合的地址匹配方法:分析地名地址数据的分词方法和作为参考数据的地址编码库的物理结构;给出组合策略和匹配流程,针对地址要素的不同重要程度分配权重,计算不同组合中各地址要素相似性匹配指数,并采用加权求和方式获得匹配总分;并以城市地址编码数据库为参考数据,工商领域监管对象地名地址数据为输入地址对提出方法进行实验和验证,与其他匹配算法对比的结果表明,提出算法有效、正确、灵活。
For the requirements of Digital City geospatial framework construction and the problems of existing Chinese address matching methods,a method of address matching based on multiple address element combinations was proposed in the paper.First of all,the segmentation of place names and addresses and address code database physical structure was studied.Then,based on similarity matching index of address elements,the combination of multiple address elements matching strategy was realized.Finally,with urban address database as reference data,the industrial and commercial fields semantic place name and address data as the input address,experiment and validation for proposed method were put forward.Compared with other matching algorithm,the results showed that the proposed algorithm would be effective,correct and flexible.