CN108257061A - A kind of multiple data item correlating validation method towards government affairs - Google Patents
A kind of multiple data item correlating validation method towards government affairs Download PDFInfo
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- CN108257061A CN108257061A CN201710521780.8A CN201710521780A CN108257061A CN 108257061 A CN108257061 A CN 108257061A CN 201710521780 A CN201710521780 A CN 201710521780A CN 108257061 A CN108257061 A CN 108257061A
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- data item
- identity information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a kind of multiple data item correlating validation methods towards government affairs, specifically include step：(1) field list of each data item is extracted；(2) the identity information field in each field list is extracted；(3) judge whether the identity information in each identity information field is directed toward same individual, be to judge that the association of multiple data item is reasonable, otherwise judge that the association of multiple data item is unreasonable.Judge whether the association of multiple data item is reasonable, and verification method is simple, and verification result is reliable by judging whether the identity information in each data item identity information field is directed toward same individual, it can be ensured that be rationally associated between multiple data item.
Description
Technical field
The present invention relates to data correlation, especially a kind of multiple data correlating validation towards government affairs.
Background technology
Sometimes for the trans-sectoral business of progress or interdepartmental data correlation in government system, such as in the synthesis for carrying out a people
During credit evaluation, need to recall the household register information of the people from public security system, the tax information of the people is recalled from taxation system, from
The educational information of the people is recalled in educational system, the running information etc. of the people is recalled from vehicle guard system, by being associated with from each system
In the information transferred assess the synthesis credit grade of this person.But how to ensure that the information recalled from each system is same
Personal information, this just needs to carry out the trans-sectoral interdepartmental multiple data correlating validation of business.It is extracted from each system of each department
Information category it is miscellaneous more, quantity is larger, this brings very big challenge to the correlating validation of multiple data item.
Invention content
The technical problems to be solved by the invention are：In view of the above problems, provide that a kind of verification result is reliable, tests
Card method is simply towards the multiple data correlating validation method of government affairs.
The technical solution adopted by the present invention is as follows：
A kind of multiple data item correlating validation method towards government affairs specifically includes step：
(1) field list of each data item is extracted；
(2) the identity information field in each field list is extracted；
(3) judge whether the identity information in each identity information field is directed toward same individual, be to judge multiple data item
Association is reasonable, otherwise judges that the association of multiple data item is unreasonable.
Further, the identity information field is that can uniquely characterize the field of individual identity.
Further, each identity information field classification is identical in step (3) and when identity information is identical judges multiple data
Item association is reasonable, judges that the association of multiple data item is unreasonable when each identity information field classification is identical but identity information is different.
Further, when each identity information field classification is not exactly the same in step (3), by the different identity information of classification
Field is converted to the identical identity information field of remaining classification by correspondence, by comparing the same category identity letter each after converting
Cease field identity information it is whether identical come judge multiple data item association it is whether reasonable.
Further, when each identity information field classification differs completely in step (3), one of identity information is selected
Field is main fields, other identity information fields by correspondence are converted to the identity information field of main fields type, are passed through
Compare conversion after each the same category identity information field identity information it is whether identical come judge multiple data item association whether close
Reason.
Further, can before the step (1) by comparing the quantity of data item type and each data item comprising field come into
The preliminary correlating validation of row.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows by judging each data item body
Whether the identity information in part information field is directed toward same individual to judge whether the association of multiple data item is reasonable, verification method
Simply, verification result is reliable, it can be ensured that is rationally associated between multiple data item.
Description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is provided in an embodiment of the present invention towards government affairs multiple data item correlating validation method flow diagram.
Specific embodiment
All features or disclosed all methods disclosed in this specification or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
Any feature disclosed in this specification, unless specifically stated, can be equivalent by other or with similar purpose
Alternative features are replaced.That is, unless specifically stated, each feature is an example in a series of equivalent or similar characteristics
.
Fig. 1 provides provided in an embodiment of the present invention towards government affairs multiple data item correlating validation method flow diagram, such as Fig. 1
Shown, a kind of multiple data item correlating validation method towards government affairs specifically includes step：
(1) field list of each data item is extracted；
(2) the identity information field in each field list is extracted；
(3) judge whether the identity information in each identity information field is directed toward same individual, be to judge multiple data item
Association is reasonable, otherwise judges that the association of multiple data item is unreasonable.
The identity information field is that can uniquely characterize the field of individual identity, such as resident identification card field, society
Guarantor's field, number field of paying taxes, license plate number field etc..
Each identity information field classification is identical in step (3) and when identity information is identical judges that the association of multiple data item is closed
Reason judges that the association of multiple data item is unreasonable when each identity information field classification is identical but identity information is different.As embodiment,
The identity information field classification of the data item extracted from household register system, taxation system, vehicle guard system, educational system includes
User identity demonstrate,proves number field, then whether the ID card No. that need to only compare the data item extracted from each system identical judges
Whether the association of multiple data item is reasonable.
When each identity information field classification is not exactly the same in step (3), by the different identity information field of classification by pair
It should be related to and be converted to the identical identity information field of remaining classification, by comparing each the same category identity information field after converting
Identity information it is whether identical come judge multiple data item association it is whether reasonable.As embodiment, from household register system, taxation system,
The identity information field classification of the data item extracted in vehicle guard system is comprising user identity card field, from educational system
The identity information field of the data item extracted is student number field, then according to student number and the correspondence of ID card No. by student number
Field is converted to identification card number code field, and whether the ID card No. for comparing the data item extracted from each system identical judges
Whether the association of multiple data item is reasonable.
When each identity information field classification differs completely in step (3), select based on one of identity information field
Other identity information fields are converted to the identity information field of main fields type by field by correspondence, by comparing conversion
Afterwards the identity information of each the same category identity information field it is whether identical come judge multiple data item association it is whether reasonable.As reality
Example is applied, the identity information field of the data item extracted from household register system is identification card number code field, is carried from taxation system
The identity information field of the data item of taking-up is pays taxes number field, the identity information of the data item extracted from educational system
Field is student number field, and the identity information field of the data item extracted from vehicle guard system is license plate number field, selects identity
Card number field is main fields, according to the correspondence of number of paying taxes, student number, license plate number and identification card number, the number that will pay taxes word
Section, student number field, license plate number field are converted into identification card number code field, compare the identity of the data item extracted from each system
Card number it is whether identical come judge multiple data item association it is whether reasonable.
When not including identity information field in data entry field table, such as address name field, home address field, educational background
Field etc. cannot uniquely characterize the field of individual identity, then can not carry out the associated verification of multiple data item.
Optimally, it can be carried out before step (1) by comparing the quantity of each data item type and data item comprising field
Preliminary correlating validation.As embodiment, someone the personal information data item extracted from household register system is associated with from vehicle piping
The city's vehicle information data item extracted in system, two data item types are different and uncorrelated, then can preliminary judgement data item
Association it is unreasonable；Someone the personal information data item extracted from household register system is associated with what is extracted from taxation system
The tax information of 180,000 population of city, two data item include field quantity have a long way to go, then can preliminary judgement data item pass
Join unreasonable.
The invention is not limited in aforementioned specific embodiments.The present invention, which expands to, any in the present specification to be disclosed
The step of new feature or any new combination and any new method or process disclosed or any new combination.
Claims (6)
- A kind of 1. multiple data item correlating validation method towards government affairs, it is characterised in that including step：(1) field list of each data item is extracted；(2) the identity information field in each field list is extracted；(3) judge whether the identity information in each identity information field is directed toward same individual, be to judge that multiple data item is associated with Rationally, otherwise judge that the association of multiple data item is unreasonable.
- 2. a kind of multiple data item correlating validation method towards government affairs according to claim 1, which is characterized in that described Identity information field is that can uniquely characterize the field of individual identity.
- A kind of 3. multiple data item correlating validation method towards government affairs according to claim 1, which is characterized in that step (3) each identity information field classification is identical in and when identity information is identical judges that the association of multiple data item is reasonable, each identity information Field classification is identical but when identity information is different judges that the association of multiple data item is unreasonable.
- A kind of 4. multiple data item correlating validation method towards government affairs according to claim 1, which is characterized in that step (3) when each identity information field classification is not exactly the same in, the different identity information field of classification is converted to by correspondence The identical identity information field of remaining classification, whether the identity information of each the same category identity information field after converting by comparing It is identical come judge multiple data item association it is whether reasonable.
- A kind of 5. multiple data item correlating validation method towards government affairs according to claim 1, which is characterized in that step (3) when each identity information field classification differs completely in, it is main fields to select one of identity information field, by other bodies Part information field is converted to the identity information field of main fields type by correspondence, by comparing each the same category body after converting Whether the identity information of part information field is identical to judge whether the association of multiple data item is reasonable.
- 6. a kind of multiple data item correlating validation method towards government affairs according to claim 1, which is characterized in that can be Before step (1) preliminary correlating validation is carried out by comparing the quantity of data item type and each data item comprising field.
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| CN201710521780.8A CN108257061B (en) | 2017-06-30 | 2017-06-30 | Government affair-oriented multiple data item association verification method |
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| CN201710521780.8A CN108257061B (en) | 2017-06-30 | 2017-06-30 | Government affair-oriented multiple data item association verification method |
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| CN108257061B (en) | 2023-04-25 |
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