Multi-source Planar Entity Matching Based on Merging Operator
In geospatial data updating,the difference of multi-source data has attracted much attention,and the one to many and many to many matching relationship in the process of data matching has always been a difficult problem.In this paper,we propose a method to compute the similarity of multi-source data based on merging operator.Taking urban vector planar building data as an example,firstly,for two groups of planar entity data from different sources,considering the location,size and shape characteristics of planar en-tities,the total similarity between entities is calculated by weighted average method;secondly,the data to be matched is processed by merging operator and then matched again;finally,the validity of the merging operator is judged by analyzing the difference of the matching results.