A method and device for detecting redundancy of point of interest data

Abstract

The invention discloses a point of interest (POI) data redundancy detection method and device. The POI data redundancy detection method comprises the following steps: determining the geographic area of a POI according to the position information of POI data; extracting name feature words from the name information of the POI data; partitioning the POI data which are in the same geographic area and have the same name feature words into the same redundant data candidate set; calculating the similarity of any two POI data in the redundant data candidate set, and if the similarity meets a preset requirement, judging that the two POI data are redundant data of each other. According to the technical scheme of the invention, the geographical area with high granularity is partitioned roughly on the aspect of space independent of accurate longitude and latitude information, and redundancy detection is performed in combination with other information of the POI data. According to the entire scheme, the calculation complexity can be well controlled, and the method and the device can be effectively applied to the application scene of large-scale POI data redundancy detection.

Description

technical field [0001] The present application relates to the technical field of geographic information, in particular to a method and device for detecting data redundancy of points of interest. Background technique [0002] Point of Interest (POI) refers to geographic object data that people are interested in, and a POI represents a location entity, such as restaurants, parks, shopping malls, and so on. POI data is an important element in geographic information systems, and it is also the content that people pay most attention to when using geographic information services. [0003] In existing geographical information-based services, POI data redundancy is a relatively common phenomenon. The so-called POI data redundancy means that in the same system, two or more POI data refer to the same location entity . This situation is generally caused by different data sources, but for computers, these redundant data will be treated as different data objects for various processing,...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is found that the latitude and longitude information contained in many POI data is not accurate, or even does not contain latitude and longitude information. For this type of data, the above scheme cannot achieve effective redundant detection.

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