POI (Point of Interest) information differentiation method and device

Abstract

The invention provides a POI (Point of Interest) information differentiation method and device. The method comprises the following steps: disassembling POI information into a plurality of first feature words; combining the first feature words, and searching by a search engine to acquire a POI set; calculating the first similarity between each POI information and the POI information to be differentiated in the POI set; selecting one or more POI information as a differentiation result of the POI information to be differentiated according to the first similarity. According to the POI information differentiation method and device, the POI information to be differentiated into the feature words which are effectively combined, and the related POI set is searched, the similarity between the POI in the set and the POI information to be differentiated is calculated, and the differentiation result is output according to the similarity, more search conditions can be combined by using the disassembled feature words, and thus more possible results are searched and the system matching ratio is increased.

Description

technical field [0001] The invention relates to the field of POI difference, in particular to a POI information difference method and device. Background technique [0002] At the current stage, the operator is making a difference to the third-party POI (Point of Interest) database, mainly extracting the main words of the POI name and POI address, formatting the phone number, and then using the main words of the name and address, as well as the phone number , type, coordinates and other information, go to the original library to find relevant information; find POIs with high similarity in the query results as the matching result; the similarity mainly depends on the calculation of the similarity between the subject of the name and the subject of the address; the calculation method It mainly uses edit distance, Jaccard similarity coefficient and other methods. The existing differential method can only differentiate 100-200 POIs per person per day. With the sharp increase of t...

AI Technical Summary

Problems solved by technology

The existing differential method can only differentiate 100-200 POIs per person per day. With the sharp increase of third-party POI information, the traditional differential method has seriously affected the production of geographic information data.

[0003] In the existing methods of POI difference, it usually solves the inconsistency between the third-party POI library and the original library category by artificially establishing the comparison relationship between the third-party POI library and the original library category or artificially labeling the third-party POI library. However, this method is very general and has certain errors, which is not conducive to narrowing the matching range; at the same time, POI coordinates mainly come from third-party POI libraries, but usually the coordinates of third-party libraries have certain deviations, and most third-party POI The library does not contain coordinates, which is also not conducive to narrowing the matching range; in the calculation method of similarity, it mainly relies on the similarity of the subject after the address and name are split. This method is not accurate for calculating the similarity of addresses, because The address is divided into geographical levels, and there will be the phenomenon of subject duplication in different areas, and the weight of the address level after different addresses should be changed; at the same time, only relying on the name subject, address subject, category and coordinates to narrow the scope of matching will be the same omission of partial matching data

[0004] In short, the existing POI differential system has a low matching rate and takes a long time, which increases the difficulty of subsequent operations

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