CN108257061B - Government affair-oriented multiple data item association verification method - Google Patents
Government affair-oriented multiple data item association verification method Download PDFInfo
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Abstract
The invention discloses a government affair-oriented multiple data item association verification method, which specifically comprises the following steps: (1) extracting a field table of each data item; (2) extracting identity information fields in each field table; (3) Judging whether the identity information in each identity information field points to the same individual, if so, judging that the multiple data items are reasonably associated, otherwise, judging that the multiple data items are unreasonably associated. Whether the association of multiple data items is reasonable is judged by judging whether the identity information in the identity information field of each data item points to the same individual, the verification method is simple, the verification result is reliable, and reasonable association among multiple data items can be ensured.
Description
Technical Field
The invention relates to data association, in particular to government affair-oriented multiple data association verification.
Background
In government affair systems, data association between businesses or departments is sometimes required, for example, when comprehensive credit evaluation is performed on a person, household registration information of the person needs to be called out from a public security system, tax information of the person needs to be called out from a tax system, education information of the person needs to be called out from an education system, driving information of the person needs to be called out from a vehicle management system, and comprehensive credit level of the person is evaluated by associating the information called out from each system. How to ensure that the information called up from each system is the same person's information requires multiple data association verification across business cross departments. The information extracted from each system of each department has a large quantity of categories, and the information has a large quantity, so that the associated verification of multiple data items is very challenging.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: aiming at the problems, the multi-data association verification method for the government affairs is reliable in verification result and simple in verification method.
The technical scheme adopted by the invention is as follows:
a government affair oriented multiple data item association verification method specifically comprises the following steps:
(1) Extracting a field table of each data item;
(2) Extracting identity information fields in each field table;
(3) Judging whether the identity information in each identity information field points to the same individual, if so, judging that the multiple data items are reasonably associated, otherwise, judging that the multiple data items are unreasonably associated.
Further, the identity information field is a field capable of uniquely characterizing the identity of an individual.
Further, in the step (3), when the types of the identity information fields are the same and the identity information is the same, the multiple data item association is judged to be reasonable, and when the types of the identity information fields are the same and the identity information is different, the multiple data item association is judged to be unreasonable.
Further, when the types of the identity information fields in the step (3) are not completely identical, the identity information fields with different types are converted into the identity information fields with the same other types according to the corresponding relation, and whether the multiple data item association is reasonable is judged by comparing whether the identity information of the identity information fields with the same types after conversion is identical.
Further, when the identity information fields in the step (3) are completely different in category, one of the identity information fields is selected as a main field, other identity information fields are converted into the identity information field of the main field type according to the corresponding relation, and whether the multiple data item association is reasonable is judged by comparing whether the identity information of the identity information fields of the same category after conversion is the same.
Further, a preliminary association verification may be performed prior to step (1) by comparing the data item type with the number of fields each data item contains.
In summary, by adopting the technical scheme, the method has the beneficial effects that whether the association of multiple data items is reasonable is judged by judging whether the identity information in the identity information field of each data item points to the same individual, the verification method is simple, the verification result is reliable, and the reasonable association among the multiple data items can be ensured.
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The invention will now be described by way of example and with reference to the accompanying drawings in which:
fig. 1 is a flowchart of a government affair-oriented multiple data item association verification method provided by an embodiment of the invention.
Detailed Description
All of the features disclosed in this specification, or all of the steps in a method or process disclosed, may be combined in any combination, except for mutually exclusive features and/or steps.
Any feature disclosed in this specification may be replaced by alternative features serving the same or equivalent purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.
Fig. 1 provides a flowchart of a government affair-oriented multiple data item association verification method provided by an embodiment of the present invention, and as shown in fig. 1, the government affair-oriented multiple data item association verification method specifically includes the steps of:
(1) Extracting a field table of each data item;
(2) Extracting identity information fields in each field table;
(3) Judging whether the identity information in each identity information field points to the same individual, if so, judging that the multiple data items are reasonably associated, otherwise, judging that the multiple data items are unreasonably associated.
The identity information field is a field capable of uniquely characterizing the identity of an individual, such as a resident identification number field, a social security number field, a tax payment number field, a license plate number field and the like.
And (3) judging that the multiple data items are reasonably associated when the types of the identity information fields are the same and the identity information is the same, and judging that the multiple data items are unreasonably associated when the types of the identity information fields are the same and the identity information is different. As an embodiment, the identity information field types of the data items extracted from the household registration system, the tax payment system, the vehicle management system and the education system all comprise user identity card number fields, and whether the multiple data items are reasonably associated or not is judged by only comparing whether the identity card numbers of the data items extracted from the systems are the same or not.
And (3) when the types of the identity information fields in the step (3) are not completely identical, converting the identity information fields with different types into the identity information fields with the same other types according to the corresponding relation, and judging whether the multiple data item association is reasonable by comparing whether the identity information of the identity information fields with the same types after conversion is identical. As an embodiment, the identity information field types of the data items extracted from the household registration system, the tax payment system and the car management system all comprise user identity card number fields, the identity information field of the data items extracted from the education system is a number field, the number field is converted into an identity card number field according to the corresponding relation between the number and the identity card number, and whether the identity card numbers of the data items extracted from the systems are identical or not is compared to judge whether the multiple data item association is reasonable or not.
And (3) when the identity information fields in the step (3) are completely different in category, selecting one of the identity information fields as a main field, converting other identity information fields into the identity information field of the main field type according to the corresponding relation, and judging whether the multiple data item association is reasonable by comparing whether the identity information of the identity information fields in the same category after conversion is the same. As an embodiment, the identity information field of the data item extracted from the household registration system is an identity card number field, the identity information field of the data item extracted from the tax payment system is a tax payment number field, the identity information field of the data item extracted from the education system is a number field, the identity information field of the data item extracted from the vehicle management system is a license plate number field, the identity card number field is selected as a main field, and the tax payment number field, the number field and the license plate number field are converted into identity card number fields according to the correspondence between the tax payment number, the license plate number and the license plate number, and whether the identity card numbers of the data items extracted from the systems are the same is compared to judge whether the multiple data item association is reasonable or not.
When the data item field table does not include the identity information field, such as a user name field, a home address field, an academic field and other fields which cannot uniquely represent the identity of an individual, multiple data item association verification cannot be performed.
Optimally, a preliminary association verification may be performed prior to step (1) by comparing each data item type with the number of data item containing fields. As an embodiment, the personal information data item of a person extracted from the household registration system is associated with the market vehicle information data item extracted from the vehicle management system, and if the two data items are different in type and irrelevant, the association of the data items can be primarily judged to be unreasonable; the personal information data item of a person extracted from the household registration system is associated with tax information of 18 ten thousand people in the city extracted from the tax system, and the association of the data items can be initially judged to be unreasonable if the two data items contain a large number of different fields.
The invention is not limited to the specific embodiments described above. The invention extends to any novel one, or any novel combination, of the features disclosed in this specification, as well as to any novel one, or any novel combination, of the steps of the method or process disclosed.
Claims (3)
1. A government affair-oriented multiple data item association verification method is characterized by comprising the following steps:
(1) Extracting a field table of each data item;
(2) Extracting identity information fields in each field table;
(3) Judging whether the identity information in each identity information field points to the same individual, if so, judging that the multiple data items are reasonably associated, otherwise, judging that the multiple data items are unreasonably associated;
in the step (3), when the types of the identity information fields are the same and the identity information is the same, the multiple data item association is judged to be reasonable, and when the types of the identity information fields are the same and the identity information is different, the multiple data item association is judged to be unreasonable;
when the types of the identity information fields in the step (3) are not completely identical, converting the identity information fields with different types into the identity information fields with the same other types according to the corresponding relation, and judging whether the multiple data item association is reasonable by comparing whether the identity information of the identity information fields with the same types after conversion is identical;
and (3) when the identity information fields in the step (3) are completely different in category, selecting one of the identity information fields as a main field, converting other identity information fields into the identity information field of the main field type according to the corresponding relation, and judging whether the multiple data item association is reasonable by comparing whether the identity information of the identity information fields in the same category after conversion is the same.
2. The government affair oriented multiple data item association verification method of claim 1 wherein the identity information field is a field capable of uniquely characterizing the identity of an individual.
3. The method of claim 1, wherein the preliminary association verification is performed by comparing the type of the data item and the number of fields included in each data item before the step (1).
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