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Public semantic converter, semantic conversion method and random data exchange method

A technology of semantic conversion and converter, applied in database model, relational database, electronic digital data processing, etc., can solve the problem that manual negotiation cannot realize large-scale data exchange, and achieve significant application value and novel effect

Active Publication Date: 2015-05-13
张家锐
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is to avoid the deficiencies in the above-mentioned prior art, and provides a public semantic converter, a conversion method, and a random data exchange method, so as to solve the problem that large-scale data exchange cannot be realized through manual negotiation in the prior art

Method used

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  • Public semantic converter, semantic conversion method and random data exchange method
  • Public semantic converter, semantic conversion method and random data exchange method
  • Public semantic converter, semantic conversion method and random data exchange method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0142] Exchange node system A hopes to obtain the personal income tax payment data of a designated person and a specified time period from exchange node system B.

[0143] Step S01: exchange node system A organizes exchange requests according to local semantics, assuming the format is: ID, name, starttime, endtime, tax, mete where ID="340101197008240611"and name="Zhang Wei" and starttime="20140101"and endtime ="20141231".

[0144] Step S02: Use manual online data item retrieval mode, input: taxpayer + ID card number, taxpayer + name, tax payment + start date, tax payment + due date, tax payment + amount, tax payment + unit. If the system has just been started and the data element library is empty, the system will prompt "Not found, please register this data item!" for the input items one by one.

[0145] Step S03: Click the "Register" button one by one to register the above data items one by one:

[0146] Step S03-1: Input the attributive modifier: taxpayer, input the centra...

Embodiment 2

[0171] Exchange node system C directly sends the transaction volume and transaction amount of a commodity (for example, men's jackets) to exchange node system D.

[0172] Step S001: Exchange node system C organizes and exchanges data according to local semantics, the format is: CommId="C02003", CommName="Men's jacket", CommMete="pieces", TransDate="20150101", TransAccount=326, TransValue=16756.62 ,TransMete="Yuan".

[0173] Step S002: exchange node system C adopts manual online data item retrieval mode, input: men's top + code, men's top + name, men's top + unit, transaction + date, transaction + quantity, transaction + amount, transaction + unit . The search results returned by the system are shown in Table 8:

[0174] Table 8

[0175]

[0176] Step S003: Exchange node system C converts the exchange data composed of local semantics into exchange data composed of data element codes through the public semantic converter. ",E000020005="20150101",E000020107=326,E000020204=...

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Abstract

The invention discloses a public semantic converter, a semantic conversion method and a random data exchange method. The public semantic converter comprises a user management module, a data element registration module, a data element retrieval module, a data item semantic conversion module, a data element management module and a charge management module. The modules above allow public semantic conversion. According to the random data exchange method, the public semantic converter performs exchange requesting and exchange data semantic interpretation and conversion, between exchange node systems, the exchange node systems can perform data exchanging randomly without prior artificial negotiation, according to the information sharing need. The public semantic converter, the semantic conversion method and the random data exchange method have the advantages that the problems of the prior art that artificial negotiation leads to no large-scale data exchanging and exchange requests and exchange data transmitted between an information producer and an information consumer have semantic comprehension difficulty can be solved, and random data exchanging can be achieved.

Description

technical field [0001] The invention relates to a computer data exchange method, in particular to a common semantic converter, a conversion method, and a random data exchange method. Background technique [0002] Existing data exchange technologies mainly focus on the following two aspects: (1) basic technical methods for realizing data exchange; such as middleware methods, methods based on exchange rules, etc.; (2) improving exchange efficiency; such as ESB (Enterprise Services Bus, Enterprise Service Bus) technology, parallel processing technology, task pool technology, data decomposition strategy, etc. These basic technical methods of data exchange need to make the following assumptions: the meaning of all data items exchanged must be well-known to both parties, that is, the two parties must reach a consensus on the semantics of the exchanged data through manual negotiation in advance, exchanged data can be used. [0003] However, in the actual work process, this kind o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/258G06F16/284G06F16/285
Inventor 张家锐张涵
Owner 张家锐
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