Multi-source heterogeneous multi-attribute POI (point of interest) integration method

Abstract

The invention discloses a multi-source heterogeneous multi-attribute POI (point of interest) integration method. The multi-source heterogeneous multi-attribute POI integration method includes firstly acquiring data sets to be integrated from POI data sources A and B, and deweighting two heterogeneous-attribute data sets respectively; browsing each POI in the two data sets respectively and calculating similarity of each attribute of the POI to obtain an attribute similarity matrix on the premise that the attribute similarity calculation rule is obeyed; solving a weighted multi-attribute POI similarity vector; calculating the maximum value Max of various components in the POI similarity vector and comparing the Max with a threshold value T; adding different attribute items of the POI standing for the same geographic entity and integrating the same attribute items of the same value. According to overall importance and different influence degrees of the attributes, various types of attributes of the POI are considered differently, so that the method better lives up to actual operation of POI integration, and accuracy and efficiency of automatic POI integration can be remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of data processing and data fusion of electronic maps, and in particular relates to a multi-source heterogeneous multi-attribute POI (Point Of Interest, point of interest) fusion method. Background technique [0002] With the popularity and application of the Internet, mobile communications, mobile positioning, and smart mobile terminals, location-based services have become an important basic support for improving travel capabilities, building intelligent public services, and realizing intelligent transportation. In theory, all people, things, and events in the world can be given accurate time and space stamps through corresponding positioning systems, sensor networks, the Internet, communication networks and other ubiquitous networks, and can dynamically obtain location coordinates and locations in real time. On the basis of multi-source heterogeneous information such as attributes, location relationships, ...

AI Technical Summary

Problems solved by technology

[0006] Defect 1. Although the technology based on the combination of spatial and non-spatial attributes overcomes the shortcomings of single-based or non-spatial attribute-based technology, and more comprehensively considers different attributes of POIs, however, in the fusion process of POI information, The importance of different attributes and their impact on the whole are different. The existing published research results have not proposed a reasonable fusion method based on the importance of different attributes.

[0007] Defect 2. The data used in the fusion process has at least one positive matching number by default, but this cannot be guaranteed in reality

Existing methods do not consider the impact of this situation on fusion, parameter determination, etc.

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