Non-structured data and structured data mutual conversion processing method

A technology of unstructured data and structured data, applied in the field of information processing, which can solve the problems of inability to convert each other, low efficiency, legality of procurement, lack of timely and effective control of compliance, etc.

Active Publication Date: 2018-05-11
XINYANG BRANCH HENAN CO LTD OF CHINA MOBILE COMM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 ide...

Method used

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  • Non-structured data and structured data mutual conversion processing method
  • Non-structured data and structured data mutual conversion processing method
  • Non-structured data and structured data mutual conversion processing method

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Embodiment 2

[0034] Embodiment 2, a method for mutual conversion between unstructured data and structured data, see figure 2 and 3 As shown, it contains the following content:

[0035] 1. Carry out label classification processing according to the label realization function;

[0036] The label classification processing includes: classifying into corresponding label types according to the label realization function, and the label types include: character label, numerical label, date label, reference label and selection label. Field attribute processing includes creating tags based on information extraction principles, and modifying tag types and related attribute information of this type, wherein the related attribute information of this type includes at least tag length and tag default value. Preferably, the information extraction principle in creating the label according to the information extraction principle includes the following content: there is a trend of change in the information...

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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...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/258G06F16/35
Inventor 曾磊杨冠强杨建军黄宇贺延敏王欣辛朝肖志立宋亚丽裴照华杨继学陈海伟刘岩陈健高朗韩志勇
Owner XINYANG BRANCH HENAN CO LTD OF CHINA MOBILE COMM CORP
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