A Method of Calculating the Reliability of Administrative Division Based on Multi-Factors

Abstract

The present invention provides a method for calculating the credibility of administrative divisions based on multiple factors. For an address string to be queried, the location query factor is calculated; according to all possible administrative division result sets of the address string to be queried, the location of the division is calculated. Level difference factor, division related factor and division level difference correlation factor; according to the division level difference correlation factor, obtain the sum of the division level difference correlation factors between a certain administrative division string and all other administrative division strings, and multiply it by the position of the administrative division string The query factor is the credibility of the administrative division character string, and the administrative division result where the administrative division character string corresponding to the maximum credibility is located is taken. Using the word segmentation results of the address string to be queried and all possible administrative division result sets, according to the semantic characteristics of the address data expression, through an appropriate matching algorithm to improve the speed and accuracy of address retrieval, thereby improving the online service quality of the network map, so as to provide better positioning of users.

Description

technical field [0001] The invention relates to the standardization of Chinese addresses, in particular to a method for calculating the credibility of administrative divisions based on multiple factors. Background technique [0002] With the continuous development of science and technology, people's demand for all aspects of life is constantly improving, and the service society has become the trend of future development. As a form of servitization, today's geographic information location service is to obtain data through national geographic information census, field survey, etc. to establish a standard Chinese address database, and then return information through matching. However, with the continuous development of society, factors such as residential areas and roads are constantly changing, which brings obstacles to the establishment of standard reference data sets. Faced with this problem, the Internet is regarded as a large database with a large amount of information an...

AI Technical Summary

Problems solved by technology

[0004] Traditional methods usually use exact or fuzzy matching methods based on keywords. For large-scale or large-scale place name address data, not only the search speed is slow, it is difficult to meet the needs of online fast service of network maps, and the semantics of addresses are not taken into account. information, resulting in low search accuracy, diverse search results and often not the results users need

For example, when a user searches for "Gulou District, Wuhan Hongshan, Jiangsu Province" on the Internet, the expected result should be to return "Hongshan District, Wuhan City, Hubei Province", but ordinary methods may return "Gulou District, Jiangsu Province", "Fujian Provincial Drum Tower District”