Enterprise association recognition method and system

Abstract

The invention discloses an enterprise association recognition method and system. The method includes the steps that an enterprise relevant database of a uniform data format is established; enterprise relevant data of a set area are collected through the network technology; relevant data fields of all enterprises in the enterprise relevant database are called, and the data fields are preprocessed; enterprise shareholder data fields are extracted, and whether the data fields belong to persons or the enterprises are judged; data docking is performed on the same enterprise; data association between different enterprises is established; information query of the associated enterprises is performed. The method and system have the advantages that the data fields are preprocessed, enterprise shareholder data fields and the like are intelligently recognized, whether the data fields belong to persons or the enterprises are judged, the correct recognition rate of the system for persons and the enterprises can be increased to the maximum extent, the system accuracy is improved, and enterprise association accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of identification of affiliated enterprises, in particular to a method and system for identifying affiliated relationships of enterprises. Background technique [0002] With the rapid development of the market economy in recent years and the country's encouragement and support for entrepreneurs, more and more large, medium and small enterprises have been registered; at the same time, with the rapid development of the Internet, the registration information, shareholder information, and change information of enterprises etc. have become more and more transparent, and can even be found directly on the Internet. The existing enterprise information query technology mainly has the following problems: [0003] 1. The information found on the Internet is loose and aimed at individuals of a single enterprise, and does not address the relationship between enterprises and enterprises, enterprises and individua...

AI Technical Summary

Problems solved by technology

[0003] 1. The information found on the Internet is loose and aimed at individuals of a single enterprise, and does not address the relationship between enterprises and enterprises, enterprises and individuals

[0004] 2. The information found on the Internet is confusing and inconsistent, and the standards are not uniform. If you want to know the relationship between two companies, you can only search and sort it out manually, or go to various industrial and commercial bureaus to apply for inquiries through various procedures, and then sort out the relationship manually

[0005] 3. The data fields obtained directly usually contain a large number of special characters, intermediate characters, etc., which have a great impact on the accurate identification of data fields and reduce the accuracy of data extraction

[0006] 4. It is impossible to accurately extract useful data information from a large number of directly obtained data fields, and it is impossible to accurately judge whether the data field represents an enterprise or an individual based on the extracted data fields. big difficulty

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