Non-structured data and structured data mutual conversion processing method

Abstract

The invention belongs to the technical field of information processing, and particularly relates to a non-structured data and structured data mutual conversion processing method. The method comprisesthe steps of performing tag classification processing according to a tag realization function; for tags, performing field attribute and management attribute processing; combining to-be-structured datawith the tags, and creating a usage version template; according to the usage version template, converting the non-structured data submitted by a user into static webpage contents, and according to tag types, converting the tags into editable controls and converting the submitted data into structured data; selecting the usage version template to perform structured data online editing; and performing associated storage on the edited data and the corresponding template usage version. Through tag definition and template processing of non-structured data files and generation and conversion storageof non-structured data files, mutual conversion between the non-structured data and the structured data is realized, so that subsequent data analysis processing is facilitated. The method has relatively high application values.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method for converting unstructured data and structured data into each other. Background technique [0002] For the unstructured data documents that need to be used in the supply chain management system, they are usually written manually and then uploaded to the system as attachments. The document writing process has nothing to do with the system, and the documents can reflect the key to control requirements Terms also cannot be stored in a structured way in the system. Unstructured data and structured data in the supply chain system cannot be converted to each other, and the following problems cannot be solved: first, unstructured procurement document information can only be processed manually, which is inefficient; second, it cannot be processed through The legality and compliance of procurement are checked quickly and efficiently in a systematic wa...

AI Technical Summary

Problems solved by technology

[0002] For the unstructured data documents that need to be used in the supply chain management system, they are usually written manually and then uploaded to the system as attachments. The document writing process has nothing to do with the system, and the documents can reflect the key to control requirements Terms also cannot be stored in a structured way in the system

Unstructured data and structured data in the supply chain system cannot be converted to each other, and the following problems cannot be solved: first, unstructured procurement document information can only be processed manually, which is inefficient; second, it cannot be processed through The legality and compliance of procurement are checked quickly and efficiently in a systematic way, and the legality and compliance of procurement cannot be controlled in a timely and effective manner; thirdly, supply chain management ideas and strategies can be reflected in unstructured documents The key clauses cannot be consolidated through a systematic method, nor can they be comprehensively inspected and comparatively analyzed, which is not conducive to the overall cycle improvement of supply chain management

In the prior art, in the system that directly uploads unstructured files as attachments, the system only provides storage and download functions for unstructured files, and its main disadvantages are as follows: unstructured files are out of touch with the system, Low efficiency; key terms in unstructured files cannot be associated with structured data, so it is impossible to supervise the actual operation of the business in a systematic way; unstructured file data and structured data are isolated from each other, which is not conducive to system Subsequent analysis and processing of data, data value mining is limited

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