Place name and address visual analysis method based on semantic word segmentation technology

Abstract

The invention discloses a place name and address visualization analysis method based on a semantic word segmentation technology. The method comprises the following steps: acquiring initial address data, and performing address cleaning on the initial address data to generate cleaned address data; splitting the cleaned address data to generate split address data; acquiring and analyzing the existingaddress data, and generating an address model; generating a standard address library according to the stored and collected address model; according to the standard address library, performing addresslibrary matching on the split address data to generate a matching result. The defects in the prior art can be overcome.

Description

technical field [0001] The invention relates to the technical field of visual analysis of place names and addresses, in particular to a method for visual analysis of place names and addresses based on semantic word segmentation technology. Background technique [0002] According to the address dictionary, geographic coordinates are added to the matching results of each record in the database, so that ordinary data containing address information can be quickly and accurately displayed on the map as geographic objects. In addition, there is a batch processing mode, which can match millions of data table records, and even use ODBC to achieve remote matching. An address data dictionary with real-time updates can be used to improve the accuracy and error tolerance of address matching. [0003] All walks of life have established a set of coding systems based on their own application systems, and have their own unique standards for dividing geographical units. Although the nationa...

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Problems solved by technology

[0003] All walks of life have established a set of coding systems based on their own application systems, and have their own unique standards for dividing geographical units. Although the national standards give informal definitions of words and word segmentation units, these coding systems are based on spatial units. There is no unified and standard geographic reference system. In the management of digital cities, the boundaries of the smallest units are different, making it difficult to share information resources with each other.

At the same time, there is no standard for the classification of urban geographic information resources, and there is no unified geographic code, which limits the use of modern means

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