POI (Point Of Interest) labeling method and device

Abstract

The invention discloses a POI (Point Of Interest) labeling method and device. The method comprises the steps of receiving multiple POI data uploaded by multiple users; carrying out primary clustering on the multiple POI data according to position information by employing a clustering algorithm to generate multiple clustering areas; carrying out secondary clustering on the multiple clustering areas respectively according to names of POIs to generate multiple clustering result sets; and labeling position areas in which the POIs exist according to the multiple clustering result sets. According to the method, by employing mass POI position and attribute information uploaded by the users, the POIs are dug out quickly and accurately, so the cost of manpower and material resources is saved, the POI update speed is improved, and the POI labeling efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of geographic information processing, in particular to a method and device for marking points of interest. Background technique [0002] Point of Interest (POI, Point Of Interest) is a term in geographic information systems, which generally refers to all geographical objects that can be abstracted as points, especially some geographical entities that are closely related to people's lives, such as schools, banks, restaurants, gas stations , hospitals, supermarkets, etc. The main purpose of the point of interest is to describe the address of things or events, which can greatly enhance the ability to describe and query the location of things or events, and improve the accuracy and speed of geographic positioning. In related technologies, the method of collecting points of interest is usually performed by the data provider through the collection personnel carrying relevant equipment to directly collect in the f...

AI Technical Summary

Problems solved by technology

[0003] However, the current problem is that it often takes several months to update the POI data in the map through the above-mentioned manual field collection method, which obviously cannot meet the real-time requirements, and large-scale field data collection is carried out manually , which will lead to high collection cost and low efficiency

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