CN117669570A

CN117669570A - Information matching method and device, electronic equipment and storage medium

Info

Publication number: CN117669570A
Application number: CN202311662682.8A
Authority: CN
Inventors: 李锟; 信聪; 魏巍
Original assignee: Agricultural Bank of China
Current assignee: Agricultural Bank of China
Priority date: 2023-12-06
Filing date: 2023-12-06
Publication date: 2024-03-08

Abstract

The invention discloses an information matching method, an information matching device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring external subject relation information corresponding to a target area, and determining an external subject relation set corresponding to the target area based on the external subject relation information; acquiring internal subject relation information corresponding to a target area, and determining an internal subject relation set corresponding to the target area based on the internal subject relation information; and updating the internal subject relation set based on the external subject relation set, and determining an internal and external subject mapping table corresponding to the target area based on the updated internal subject relation set. According to the technical scheme, the effect of matching the external main body identification and the internal main body identification is achieved on the premise that personal identification information is not revealed, the effect of improving the matching accuracy and the matching efficiency under the condition that the data size is large is achieved, and the application safety of the data information is guaranteed.

Description

Information matching method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to an information matching method, an information matching device, an electronic device, and a storage medium.

Background

In the related data of the external enterprises, the prior banking system can not provide the principal certificate information such as the identity card number due to the data privacy protection problem, and can not judge which two are the same principal after the principal name is repeated because the principal name repetition probability is extremely high, so that the comprehensive principal key is lacked to carry out the recognition of attention, and the principal association between the in-line data and the out-line data can not be carried out.

The existing internal and external main body association method is usually carried out through main body names, has the advantages that the main body names have few errors, and has the defects that the relationship of one-to-many and many-to-many appears along with the increase of data quantity, and the association accuracy is poor. And as the data volume becomes larger, the possibility of main body repetition becomes larger, and the difficulty of the deduplication operation to be performed is increased.

Disclosure of Invention

The invention provides an information matching method, an information matching device, electronic equipment and a storage medium, which are used for realizing the effect of mutually matching an external main body identifier and internal main body identity information on the premise of not revealing personal identity information, achieving the effect of improving the matching accuracy and the matching efficiency under the condition of large data volume, and ensuring the application safety of the data information.

According to an aspect of the present invention, there is provided an information matching method, including:

acquiring external subject relation information corresponding to a target area, and determining an external subject relation set corresponding to the target area based on the external subject relation information, wherein the external subject relation information comprises area subject relation information corresponding to a plurality of external areas associated with the target area, the area subject relation information comprises at least one of a first external subject identifier, an external subject relation type, an area identifier and a second external subject identifier, and the external subject relation type comprises a first relation type with the second external subject identifier and a second relation type without the second external subject identifier;

acquiring internal subject relation information corresponding to the target area, and determining an internal subject relation set corresponding to the target area based on the internal subject relation information, wherein the internal subject relation information comprises at least one of a first internal subject identifier, a second internal subject identifier, an internal subject relation type and an area identifier;

updating the internal subject relation set based on the external subject relation set, and determining an internal and external subject mapping table corresponding to the target area based on the updated internal subject relation set, wherein the internal and external subject mapping table is used for indicating the corresponding relation between the second internal subject identifier and the second external subject identifier.

According to another aspect of the present invention, there is provided an information matching apparatus including:

an external information acquisition module, configured to acquire external subject relation information corresponding to a target area, and determine an external subject relation set corresponding to the target area based on the external subject relation information, where the external subject relation information includes area subject relation information corresponding to a plurality of external areas associated with the target area, the area subject relation information includes at least one of a first external subject identifier, an external subject relation type, an area identifier, and a second external subject identifier, and the external subject relation type includes a first relation type in which the second external subject identifier exists and a second relation type in which the second external subject identifier does not exist;

an internal information acquisition module, configured to acquire internal principal relation information corresponding to the target area, and determine an internal principal relation set corresponding to the target area based on the internal principal relation information, where the internal principal relation information includes at least one of a first internal principal identifier, a second internal principal identifier, an internal principal relation type, and an area identifier;

And the inner and outer main body mapping table determining module is used for updating the inner main body relation set based on the outer main body relation set and determining an inner and outer main body mapping table corresponding to the target area based on the updated inner main body relation set, wherein the inner and outer main body mapping table is used for indicating the corresponding relation between the second inner main body identifier and the second outer main body identifier.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the information matching method according to any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the information matching method according to any embodiment of the present invention.

According to the technical scheme, the external subject relation information corresponding to the target area is acquired, the external subject relation set corresponding to the target area is determined based on the external subject relation information, further, the internal subject relation information corresponding to the target area is acquired, the internal subject relation set corresponding to the target area is determined based on the internal subject relation information, finally, the internal subject relation set is updated based on the external subject relation set, and the internal and external subject mapping tables corresponding to the target area are determined based on the updated internal subject relation set, so that the problems that in the related art, the accuracy of subject association is poor along with the increase of data volume, the probability of subject repetition is continuously increased along with the increase of the data volume, and the duplicate removal operation difficulty is increased are solved, the effect of mutual matching of the external subject identifier and the internal subject identity information is achieved under the premise of lacking personal identity information, the effect of improving the matching accuracy and the matching efficiency under the condition of large data volume is achieved, and the application safety of the data information is ensured.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of an information matching method according to a first embodiment of the present invention;

fig. 2 is a schematic structural diagram of an information matching device according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device implementing an information matching method according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1 is a flowchart of an information matching method according to an embodiment of the present invention, where the method may be performed by an information matching device, which may be implemented in hardware and/or software, and the information matching device may be configured in a terminal and/or a server, where the method is applicable to a case of matching an internal body and an external body of a target area in the absence of personal identity information. As shown in fig. 1, the method includes:

S110, acquiring external subject relation information corresponding to the target area, and determining an external subject relation set corresponding to the target area based on the external subject relation information.

Wherein the external subject relationship information includes region subject relationship information corresponding to a plurality of external regions associated with the target region, the region subject relationship information including at least one of a first external subject identifier, an external subject relationship type, a region identifier, and a second external subject identifier, the external subject relationship type including a first relationship type in which the second external subject identifier is present and a second relationship type in which the second external subject identifier is not present.

In this embodiment, the target area may be any area to be subjected to the inside-outside subject information association. Alternatively, the target area may be any banking system. The outer region may be other regions outside of the target region associated with the target region. Alternatively, where the target area is any banking system, the external area may be an external enterprise associated with the banking system. The external subject relationship information may be information characterizing association information between each external subject and the external subject relationship type within the entire external region. The region subject relationship information may be information characterizing association information between each external subject and an external subject relationship within the corresponding external region. The first external subject identifier may be an identifier characterizing external subject identity information. The external subject relationship type may be understood as the type of relationship chain that the external subject is in within the corresponding external region. The first relationship type is a relationship type that each external subject included in the relationship chain has a second subject identifier. The second relationship type is a relationship type in which all external subjects included in the relationship chain do not have a second subject identifier. The outer body is understood to mean the body which is located inside the respective outer region. For example, in the case where the external area is any enterprise, the external subject is a person within the enterprise. The area identifier may be an identifier for characterizing the identity information of the external area, or may be an identifier for identifying the external area. Alternatively, the area identification may be a uniform social credit code.

In this embodiment, the external subject relation set may be a set that characterizes association relations between subject identifications and external subject relations corresponding to respective external subjects in all external areas associated with the target area. The external principal relationship set may include a plurality of external principal relationship records, each of which may include a first external principal identification, an external principal relationship type, a region identification, and a second external principal identification.

In practical application, in order to determine association information between external data corresponding to an external area associated with a target area and the inside of the target area, area subject relationship information corresponding to a plurality of external areas associated with the target area may be acquired, and the area subject relationship information may be collected together to obtain the external subject relationship information corresponding to the target area. Further, a set of external subject relationships corresponding to the target region may be determined based on the external subject relationship information.

Optionally, determining the set of external subject relationships corresponding to the target area based on the external subject relationship information includes: dividing the external subject relationship information into first subject relationship information and second subject relationship information according to the external subject relationship type; determining a first set of subject relationships based on the first subject relationship information and a second set of subject relationships based on the second subject relationship information; an external set of subject relationships corresponding to the target region is determined based on the first set of subject relationships and the second set of subject relationships.

The external principal relation type included in the first principal relation information is a first relation type, and the external principal relation type included in the second principal relation information is a second relation type.

In this embodiment, the first principal relation information may include a first external principal identification, a first relation type, a region identification, and a second external principal identification. The second principal relation information may include a first external principal identification, a second relation type, and a region identification. The first principal relation set comprises a plurality of first principal relation records, and each principal relation record consists of a first external principal identifier, a first relation type, a region identifier and a second external principal identifier. The second principal relation set comprises a plurality of second principal relation records, and each principal relation record consists of a first external principal identifier, a second relation type and an area identifier.

In practical application, after the external principal relation information is obtained, the external principal relation information may be divided into first principal relation information and second principal relation information according to an external principal relation type included in the external principal relation information. Further, a first set of subject relationships may be determined based on the first subject relationship information and a second set of subject relationships may be determined based on the second subject relationship information. Then, since the information included in each first principal relation record included in the first principal relation set is greater than the information included in each second principal relation record included in the second principal relation set, the second principal relation set may be updated based on the first principal relation set, and an external principal relation set corresponding to the target area may be determined according to the updated second principal relation set and the first principal relation set.

Optionally, determining the external subject relation set corresponding to the target area based on the first subject relation set and the second subject relation set includes: converting each second relationship type included in the second main body relationship set based on each first relationship type and a first preset relationship mapping table included in the first main body relationship set to obtain a converted second main body relationship set; for each second principal relation record included in the converted second principal relation set, matching the current second principal relation record with each first principal relation record included in the first principal relation set to obtain a matching result corresponding to the current second principal relation record, determining a second external principal identifier matched with the current second principal relation record based on the matching result, and adding the second external principal identifier into the current second principal relation record; under the condition that each second main body relation record included in the converted second main body relation set is added with a second external main body identifier, an updated second main body relation set is obtained; and merging the updated second main body relation set of the first main body relation set to obtain an external main body relation set.

In this embodiment, the first preset relationship mapping table may be used to indicate a correspondence between the first relationship type and the second relationship type. It should be noted that the first preset relationship mapping table may include a one-to-one mapping relationship, and may further include a one-to-many mapping relationship. Wherein, the one-to-one mapping relationship is understood as that the first relationship type and the second relationship type are in one-to-one correspondence. A one-to-many mapping relationship may be understood as there being a plurality of first relationship types corresponding to second relationship types. Illustratively, the first relationship type A1 is in one-to-one correspondence with the second relationship type D1; the second relationship type D2 corresponds to the first relationship types A1, A2, A3, A4, A5.

In practical application, at least one first relationship type corresponding to each second relationship type may be determined based on the first preset relationship mapping table. Further, for each second relationship type, the current second relationship type may be converted to a corresponding first relationship type. After each second relationship type is converted into a corresponding first relationship type, the second principal relationship set obtained at this time may be used as a converted second principal relationship set.

Further, for each second principal relation record included in the converted second principal relation set, the first external principal identifier, the first relation type, and the area identifier included in the current second principal relation record may be matched with the first external principal identifier, the first relation type, and the area identifier included in each first principal relation record included in the first principal relation set. Further, a matching result corresponding to the current second subject relationship record may be obtained. Illustratively, assume that a first external principal identity included in a first principal relationship record is N, a first relationship type is A, and an area identity is C; the first external subject identifier included in the second subject relationship record is M, the first relationship type is A', and the region table identifier is E. And matching the first external subject identifier, the first relation type and the region identifier which are included in the second subject relation record with the first external subject identifier, the first relation type and the region identifier which are included in each first subject relation record which is included in the first subject relation set, wherein the matching can be M-N, A' -A and E-C.

Further, a second external subject identifier corresponding to the current second subject matter record may be determined based on the matching result, and the second external subject identifier may be added to the current second subject matter record.

In this embodiment, the matching result may include a complete match and an incomplete match. A perfect match is understood to mean that there is a first principal relationship record in the first set of principal relationships that uniquely matches a second principal relationship record. An incomplete match may be understood as there being a plurality of first subject matter relationship records in the first set of subject matter relationship records that match the second subject matter relationship record. For different matching results, the determination manners of the second external subject identifiers corresponding to the second subject relationship records are different, and the determination manners of the second external subject identifiers under the two matching results can be respectively described below.

Optionally, if the matching result is a complete match, a first principal relation record corresponding to the matching result in the first principal relation set is obtained, and a second external principal identifier in the first principal relation record is used as a second external principal identifier matched with the current external principal relation record.

In practical application, under the condition that the matching result is complete matching, a first main body relation record corresponding to the matching result can be obtained from the first main body relation set. Further, a second external subject identifier included in the first subject relationship record may be acquired and used as a second external subject identifier that matches the current second subject relationship record. Further, the second external subject identifier may be added to the current second subject relationship record such that the current second subject relationship record further includes the second external subject identifier on the basis of including the first external subject identifier, the first relationship type corresponding to the second relationship type, and the region identifier.

Optionally, if the matching result is not completely matched, acquiring a plurality of first main body relationship records corresponding to the matching result in the first main body relationship set; determining the corresponding deviation degree of the current first main body relation record under at least one preset additional condition according to each first main body relation record, and determining the confidence coefficient corresponding to the current first main body relation record based on each deviation degree; and determining a target first subject relation record based on each confidence, and taking the second external subject identifier in the target first subject relation record as a second external subject identifier matched with the current second subject relation record.

In this embodiment, the preset additional condition may be an additional screening condition preset for screening the subject relationship record. Alternatively, the preset additional condition may include a by-value class condition and a by-text class condition. Wherein the numeric class condition may be a condition consisting of a numeric class field. Illustratively, the numerical class conditions may include a share hold ratio, a funding ratio, and the like. The text class condition may be a condition composed of text class fields. By way of example, the text class conditions may include tenure information, and the like. The degree of deviation may be a value indicative of the degree of deviation between the first body relation record and the second body relation record.

In practical application, under the condition that the matching result corresponding to the current second principal relation record is not completely matched, a plurality of first principal relation records corresponding to the matching result in the first principal relation set can be obtained, namely, a plurality of first principal relation records matched with the current second principal relation record are obtained. Further, at least one preset additional condition is called, and for each first main body relation record, the corresponding deviation degree of the current first main body relation record under each preset additional condition can be determined. The preset additional conditions may include a numeric condition and a text condition, and the corresponding deviation determining manners are different for different types of preset additional conditions, and the deviation determining manners may be described below.

Optionally, the preset additional condition includes a numerical value class condition, and determining a degree of deviation of the current first body relation record corresponding to the at least one preset additional condition includes: under the condition that the preset additional condition is a value class condition, determining a value corresponding to a first external main body corresponding to the current first main body relation record under the value class condition as a first value, and determining a value corresponding to a second external main body corresponding to the current second main body relation record under the value class condition as a second value; and determining a difference value between the second numerical value and the first numerical value to obtain a first difference value, and determining a ratio between the first difference value and the second numerical value to be used as a current first main body relation to record the corresponding deviation degree under the numerical value class condition.

In practical application, under the condition that the preset additional condition is a value class condition, a value corresponding to the first external main body corresponding to the current first main body relation record under the value class condition can be determined, and the value is taken as a first value. And determining a value corresponding to the second external body corresponding to the current second body relation record under the condition of the value class, wherein the value can be used as a second value. Further, a difference between the second value and the first value may be determined and taken as the first difference. Thereafter, a ratio between the first difference and the second value may be determined. Further, the ratio may be recorded as the current first subject relationship as the corresponding degree of deviation under the numerical class condition.

For example, in the case where the preset additional condition is a numerical class condition, the degree of deviation may be determined based on the following formula:

wherein TP _x1 The corresponding deviation degree of the current first main body relation record under the ith numerical class condition can be represented; p (P) _zi The corresponding value of the second external main body corresponding to the current second main body relation record under the condition of the ith value class can be represented; p (P) _xi The value corresponding to the first external body under the i-th value class condition corresponding to the current first body relation record can be represented.

Optionally, the preset additional condition includes a text condition, and determining a degree of deviation of the current first body relation record corresponding to the at least one preset additional condition includes: under the condition that the preset additional condition is a text type condition, determining text information corresponding to a first external main body corresponding to the current first main body relation record under the text type condition as first text information, and determining text information corresponding to a second external main body corresponding to the current second main body relation record under the text type condition as second text information; performing field matching on the first text information and the second text information to obtain a field matching result; if the field matching result is complete matching, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a first preset value; and if the field matching result is not completely matched, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a second preset value.

In this embodiment, the first preset value may be any value, and optionally, may be 1. The second preset value may be any value, alternatively, may be 0.

In practical application, under the condition that the preset additional condition is a text type condition, text information corresponding to a first external main body corresponding to the current first main body relation record under the text type condition can be determined, and the text information is used as the first text information. And determining text information corresponding to a second external main body corresponding to the current second main body relation record under the text type condition, and taking the text information as second text information. Further, field matching can be performed on the first text information and the second text information to determine whether each field in the first text information is matched with each field in the second text information, and a field matching result is obtained. Further, if the field matching result is complete matching, determining the deviation degree corresponding to the current first main body relation record under the text condition as a first preset value; if the field matching result is not completely matched, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a second preset value.

Further, after obtaining the deviation degree corresponding to the current first principal relation record under each preset additional condition, an average deviation degree corresponding to the current first principal relation record may be determined according to each deviation degree and the number of preset additional conditions. Then, a difference between the base confidence level and the average deviation level may be determined, and the difference may be used as the confidence level corresponding to the current first subject relationship record.

Further, after obtaining the confidence coefficient corresponding to each first principal relation record, the first principal relation records may be ordered according to the confidence coefficient, and the first principal relation record ranked first is taken as the target first principal relation record. Further, a second external subject identifier included in the target first subject matter record may be acquired, and the second external subject identifier may be used as a second external subject identifier that matches the current second subject matter record, and may be added to the current second subject matter record.

Further, under the condition that each second principal relation record included in the converted second principal relation set is added with a second external principal identifier, an updated second principal relation set is obtained. And then, merging the first main body relation set and the updated second main body relation set, and taking the merged set as an external main body relation set.

S120, acquiring the internal subject relation information corresponding to the target area, and determining an internal subject relation set corresponding to the target area based on the internal subject relation information.

Wherein the internal principal relation information includes at least one of a first internal principal identification, a second internal principal identification, an internal principal relation type, and an area identification.

In the present embodiment, the internal principal relation information may be information characterizing association information between each internal principal inside the target area and the internal principal relation type. The set of internal principal relations may include a plurality of internal principal relation records, each of which may be composed of a first internal principal identification, a second internal principal identification, an internal principal relation type, and an area identification. The first internal principal identification may be an identification characterizing internal principal identity information. The second internal principal identification may be an identification of identity information characterizing the internal principal within the target area. The first internal body identifier and the second internal body identifier may be different types of internal body identifiers. The internal subject relationship type may be understood as the type of relationship chain that the internal subject is in within the target region. The area identifier may be an identifier for characterizing the identity information of the internal area, or may be an identifier for identifying the internal area. Alternatively, the area identification may be a uniform social credit code.

In practical applications, the internal subject relation information corresponding to the target area may be acquired. Further, the internal principal relation information may be filled into a previously constructed set, and thus an internal principal relation set corresponding to the target region may be obtained.

S130, updating the internal subject relation set based on the external subject relation set, and determining an internal and external subject mapping table corresponding to the target area based on the updated internal subject relation set.

The internal and external main body mapping tables are used for indicating the corresponding relation between the second internal main body identifier and the second external main body identifier.

In practical application, in order to establish a connection between external subject relationship information and internal subject relationship information corresponding to a target area, an internal subject relationship set may be updated based on an external subject relationship set, and an updated internal subject relationship set may be obtained. In general, in the external principal relation set and the internal principal relation set, there is a certain association relation between the external principal relation type and the internal principal relation type, and therefore, the internal principal relation type can be converted based on the external principal relation type. And, the second external subject identifier included in the external subject relationship set may also be matched into a corresponding internal subject relationship record in the internal subject relationship set. Thus, the association between the second external subject identifier and the internal subject identifier can be determined from the matched internal subject relationship record.

Optionally, updating the set of internal subject relationships based on the set of external subject relationships includes: converting each internal principal relation type in the internal principal relation set based on each external principal relation type in the external principal relation set and a second preset relation mapping table to obtain a converted internal principal relation set; matching the current internal principal relation record with each external principal relation record included in the external principal relation set aiming at each internal principal relation record included in the converted internal principal relation set to obtain a matching result corresponding to the current internal principal relation record, determining a second external principal identifier matched with the current internal principal relation record based on the matching result, and adding the second external principal identifier into the current internal principal relation record; and under the condition that the second external subject identifier is added to each internal subject relation record included in the converted internal subject relation set, obtaining an updated internal subject relation set.

In this embodiment, the second preset relationship mapping table may be used to indicate a correspondence between the external principal relationship type and the internal principal. It should be noted that the second preset relationship mapping table may include a one-to-one mapping relationship, and may further include a one-to-many mapping relationship. Wherein, the one-to-one mapping relationship can be understood as that the external subject relationship type and the internal subject relationship type are in one-to-one correspondence. One-to-many mappings may be understood as there being multiple external subject relationship types corresponding to internal subject association types.

In practical application, at least one external subject relationship type corresponding to each internal subject relationship type can be determined based on the second preset relationship mapping table. Further, for each internal principal relationship type, the current internal principal relationship type may be converted to a corresponding external principal relationship type. After each internal principal relation type is converted into a corresponding external principal relation type, the internal principal relation set obtained at this time can be used as a converted internal principal relation set.

Further, for each internal principal relation record included in the converted internal principal relation set, the first internal principal identifier, the external principal relation type and the area identifier corresponding to the internal principal relation type included in the current internal principal relation record may be matched with the first external principal identifier, the external principal relation type and the area identifier included in each external principal relation record included in the external principal relation set. Further, a matching result corresponding to the current internal body relation record can be obtained.

Further, a second external subject identifier corresponding to the current internal subject matter record may be determined based on the matching result and added to the current internal subject matter record.

In this embodiment, the matching result may include a complete match and an incomplete match. A perfect match is understood to mean that there is one external subject relationship record in the external subject relationship set that uniquely matches the internal subject relationship record. An incomplete match may be understood as there being a plurality of external subject matter relationship records in the external subject matter relationship set that match the internal subject matter relationship records. For different matching results, the determination manner of the second external subject identifier corresponding to the internal subject relationship record is the same as the determination manner of the second external subject identifier corresponding to the second subject relationship record mentioned in step S110, and this embodiment is not described in detail herein.

Further, under the condition that the second external subject identifier is added to each internal subject relation record included in the converted internal subject relation set, an updated internal subject relation set is obtained.

In practical application, after the updated internal principal relation set is obtained, the association relationship between each internal principal in the target area and each external principal in the associated external area can be determined based on each internal principal relation record included in the updated internal principal relation set.

Optionally, determining the inner and outer principal mapping tables corresponding to the target area based on the updated inner principal relation set includes: extracting a second internal subject identifier and a second external subject identifier in each internal subject relationship record in the updated internal subject relationship set; and establishing an internal and external subject mapping table based on each second internal subject identifier and each second external subject identifier.

In practical application, for each internal principal relation record included in the updated internal principal relation set, the second internal principal identifier and the second external principal identifier included in the current internal principal relation record may be extracted. Further, a plurality of second internal body identifications and a plurality of second external body identifications can be obtained. Further, the association relationship between the second internal body identifier and the second external body identifier may be determined according to the internal body relationship record in which the second internal body identifier and the second external body identifier are located. Further, the internal and external body mapping table may be established based on each second internal body identifier, each second external body identifier, and the association relationship.

Further, in the case of obtaining the internal and external body mapping tables, the second internal body identifier to be queried may be used as a query primary key, and the internal and external body mapping tables may be queried based on the query primary key. Further, a second external subject identification can be obtained that matches the second internal subject identification to be queried.

According to the technical scheme, the external main body relation information corresponding to the target area is acquired, the external main body relation set corresponding to the target area is determined based on the external main body relation information, further, the internal main body relation information corresponding to the target area is acquired, the internal main body relation set corresponding to the target area is determined based on the internal main body relation information, finally, the internal main body relation set is updated based on the external main body relation set, and the internal main body mapping table corresponding to the target area is determined based on the updated internal main body relation table, so that the problems that in the related art, the accuracy of main body association is poor along with the increase of data volume, the possibility of main body repetition is continuously increased along with the increase of the data volume, the difficulty of duplicate removal operation to be performed is increased are solved, the effect that the external main body identification and the internal main body identification information are mutually matched on the premise that personal identification information is not leaked is achieved, the effect of improving the matching accuracy and the matching efficiency under the condition that the data volume is large is achieved, and the application safety of the data information is ensured.

Example two

Fig. 2 is a schematic structural diagram of an information matching device according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: an external information acquisition module 210, an internal information acquisition module 220, and an internal and external body map determination module 230.

Wherein, the external information obtaining module 210 is configured to obtain external subject relation information corresponding to a target area, and determine an external subject relation set corresponding to the target area based on the external subject relation information, where the external subject relation information includes area subject relation information corresponding to a plurality of external areas associated with the target area, the area subject relation information includes at least one of a first external subject identifier, an external subject relation type, an area identifier, and a second external subject identifier, and the external subject relation type includes a first relation type in which the second external subject identifier exists and a second relation type in which the second external subject identifier does not exist; an internal information obtaining module 220, configured to obtain internal principal relation information corresponding to the target area, and determine an internal principal relation set corresponding to the target area based on the internal principal relation information, where the internal principal relation information includes at least one of a first internal principal identifier, a second internal principal identifier, an internal principal relation type, and an area identifier; an inner and outer body mapping table determining module 230, configured to update the inner body relation set based on the outer body relation set, and determine an inner and outer body mapping table corresponding to the target area based on the updated inner body relation set, where the inner and outer body mapping table is used to indicate a correspondence between the second inner body identifier and the second outer body identifier.

According to the technical scheme, the external main body relation information corresponding to the target area is acquired, the external main body relation set corresponding to the target area is determined based on the external main body relation information, further, the internal main body relation information corresponding to the target area is acquired, the internal main body relation set corresponding to the target area is determined based on the internal main body relation information, finally, the internal main body relation set is updated based on the external main body relation set, and the internal main body mapping table corresponding to the target area is determined based on the updated internal main body relation set, so that the problems that in the related art, the accuracy of main body association is poor along with the increase of data volume, the possibility of main body repetition is continuously increased along with the increase of the data volume, the difficulty of duplicate removal operation to be performed is increased are solved, the effect that the external main body identification and the internal main body identification information are mutually matched on the premise that personal identification information is not leaked is achieved, the effect of improving the matching accuracy and the matching efficiency under the condition that the data volume is large is achieved, and the application safety of the data information is ensured.

Optionally, the external information acquisition module 210 includes: the information dividing sub-module, the set determining sub-module and the external main body relation set determining sub-module.

The information dividing sub-module is used for dividing the external subject relation information into first subject relation information and second subject relation information according to the external subject relation type, wherein the external subject relation type included in the first subject relation information is a first relation type, and the external subject relation type included in the second subject relation information is a second relation type;

a set determination sub-module configured to determine a first set of subject relationships based on the first subject relationship information and determine a second set of subject relationships based on the second subject relationship information;

an external subject relationship set determination submodule for determining an external subject relationship set corresponding to the target area based on the first subject relationship set and the second subject relationship set.

Optionally, the first principal relation set includes a plurality of first principal relation records, the second principal relation set includes a plurality of second principal relation records, and the external principal relation set determination submodule includes: the system comprises a relationship type conversion unit, a main body identification adding unit, a relationship set updating unit and an external main body relationship set determining unit.

The relationship type conversion unit is used for converting each second relationship type included in the second main body relationship set based on each first relationship type and a first preset relationship mapping table included in the first main body relationship set to obtain a converted second main body relationship set;

a body identifier adding unit, configured to match, for each second body relationship record included in the converted second body relationship set, a current second body relationship record with each first body relationship record included in the first body relationship set, obtain a matching result corresponding to the current second body relationship record, determine, based on the matching result, a second external body identifier that is matched with the current second body relationship record, and add the second external body identifier to the current second body relationship record;

a relationship set updating unit, configured to obtain an updated second principal relationship set when a second external principal identifier is added to each second principal relationship record included in the converted second principal relationship set;

and the external main body relation set determining unit is used for merging the updated second main body relation set of the first main body relation set to obtain an external main body relation set.

Optionally, the matching result includes complete matching or incomplete matching, and the main body identifier adding unit includes: the main body identification first determining subunit, the main body relation record obtaining subunit, the deviation determining subunit and the main body identification second determining subunit.

A main body identifier first determining subunit, configured to obtain a first main body relationship record corresponding to the current second main body relationship record in the first main body relationship set when the matching result is a complete match, and use a second external main body identifier in the first main body relationship record as a second external main body identifier matched with the current second main body relationship record;

a main body relation record obtaining subunit, configured to obtain at least one first main body relation record corresponding to the current second main body relation record in the first main body relation set when the matching result is that the matching result is not completely matched;

the deviation degree determining subunit is used for determining the deviation degree corresponding to the current first main body relation record under at least one preset additional condition for each first main body relation record, and determining the confidence degree corresponding to the current first main body relation record based on each deviation degree;

And the main body identification second determining subunit is used for determining a target first main body relation record based on the confidence degrees, and taking a second external main body identification in the target first main body relation record as a second external main body identification matched with the current second main body relation record.

Optionally, the preset additional condition includes a value class condition, and the deviation determining subunit is specifically configured to determine, when the preset additional condition is the value class condition, a value corresponding to the first external body corresponding to the current first body relationship record under the value class condition as a first value, and determine, as a second value, a value corresponding to the second external body corresponding to the current second body relationship record under the value class condition; and determining a difference value between the second numerical value and the first numerical value to obtain a first difference value, and determining a ratio between the first difference value and the second numerical value to be used as a deviation degree of the current first main body relation record corresponding to the numerical value class condition.

Optionally, the preset additional condition includes a text condition, and the deviation determining subunit is specifically configured to determine, when the preset additional condition is the text condition, text information corresponding to a first external subject corresponding to the current first subject relation record under the text condition as first text information, and determine text information corresponding to a second external subject corresponding to the current second subject relation record under the text condition as second text information; performing field matching on the first text information and the second text information to obtain a field matching result; if the field matching result is complete matching, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a first preset value; and if the field matching result is not completely matched, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a second preset value.

Optionally, the external principal relation set includes a plurality of external principal relation records, the internal principal relation set includes a plurality of internal principal relation records, and the internal and external principal mapping table determining module 230 includes: the system comprises a relationship type conversion unit, a relationship record matching unit and a main body relationship set updating unit.

The relationship type conversion unit is used for converting each internal principal relationship type in the internal principal relationship set based on each external principal relationship type in the external principal relationship set and a second preset relationship mapping table to obtain a converted internal principal relationship set;

a relationship record matching unit, configured to match, for each internal principal relationship record included in the converted internal principal relationship set, a current internal principal relationship record with each external principal relationship record included in the external principal relationship set, to obtain a matching result corresponding to the current internal principal relationship record, determine, based on the matching result, a second external principal identifier that matches the current internal principal relationship record, and add the second external principal identifier to the current internal principal relationship record;

And the main body relation set updating unit is used for obtaining an updated internal main body relation set under the condition that the second external main body identifier is added to each internal main body relation record included in the converted internal main body relation set.

Optionally, the internal and external body mapping table determining module 230 includes: the main body identification extracting unit and the mapping table determining unit.

A main body identifier extracting unit, configured to extract a second internal main body identifier and a second external main body identifier in each internal main body relationship record in the updated internal main body relationship set;

and a mapping table determining unit, configured to establish an internal and external mapping table based on each of the second internal principal identifications and each of the second external principal identifications.

The information matching device provided by the embodiment of the invention can execute the information matching method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example III

Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the information matching method.

In some embodiments, the information matching method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the information matching method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the information matching method in any other suitable way (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. An information matching method, comprising:

2. The method of claim 1, wherein the determining the set of external subject relationships corresponding to the target region based on the external subject relationship information comprises:

dividing the external subject relation information into first subject relation information and second subject relation information according to the external subject relation type, wherein the external subject relation type included in the first subject relation information is a first relation type, and the external subject relation type included in the second subject relation information is a second relation type;

Determining a first set of subject relationships based on the first subject relationship information and a second set of subject relationships based on the second subject relationship information;

an external set of subject relationships corresponding to the target region is determined based on the first set of subject relationships and the second set of subject relationships.

3. The method of claim 2, wherein the first set of subject relationships comprises a plurality of first subject relationship records and the second set of subject relationships comprises a plurality of second subject relationship records, the determining an external set of subject relationships corresponding to the target region based on the first set of subject relationships and the second set of subject relationships comprising:

converting each second relationship type included in the second principal relationship set based on each first relationship type and a first preset relationship mapping table included in the first principal relationship set to obtain a converted second principal relationship set;

for each second principal relation record included in the converted second principal relation set, matching a current second principal relation record with each first principal relation record included in the first principal relation set to obtain a matching result corresponding to the current second principal relation record, determining a second external principal identifier matched with the current second principal relation record based on the matching result, and adding the second external principal identifier into the current second principal relation record;

Under the condition that each second main body relation record included in the converted second main body relation set is added with a second external main body identifier, an updated second main body relation set is obtained;

and merging the updated second main body relation set of the first main body relation set to obtain an external main body relation set.

4. The method of claim 3, wherein the matching result comprises a complete match or a complete match, wherein the determining a second external subject identification that matches the current second subject relationship record based on the matching result comprises:

if the matching result is complete matching, acquiring a first main body relation record corresponding to the current second main body relation record in the first main body relation set, and taking a second external main body identifier in the first main body relation record as a second external main body identifier matched with the current second main body relation record;

if the matching result is that the matching is not complete, acquiring at least one first main body relation record corresponding to the current second main body relation record in the first main body relation set;

Determining, for each first principal relation record, a degree of deviation corresponding to a current first principal relation record under at least one preset additional condition, and determining a confidence level corresponding to the current first principal relation record based on each degree of deviation;

and determining a target first subject relation record based on the confidence degrees, and taking a second external subject identifier in the target first subject relation record as a second external subject identifier matched with the current second subject relation record.

5. The method of claim 4, wherein the predetermined additional condition comprises a numeric class condition, and wherein the determining the degree of deviation of the current first subject relationship record corresponding to the at least one predetermined additional condition comprises:

under the condition that the preset additional condition is a value class condition, determining a value corresponding to a first external main body corresponding to a current first main body relation record under the value class condition as a first value, and determining a value corresponding to a second external main body corresponding to a current second main body relation record under the value class condition as a second value;

and determining a difference value between the second numerical value and the first numerical value to obtain a first difference value, and determining a ratio between the first difference value and the second numerical value to be used as a deviation degree of the current first main body relation record corresponding to the numerical value class condition.

6. The method of claim 4, wherein the predetermined additional condition includes a text-like condition, and wherein the determining the degree of deviation of the current first subject relationship record corresponding to the at least one predetermined additional condition includes:

under the condition that the preset additional condition is a text type condition, determining text information corresponding to a first external main body corresponding to a current first main body relation record under the text type condition as first text information, and determining text information corresponding to a second external main body corresponding to a current second main body relation record under the text type condition as second text information;

performing field matching on the first text information and the second text information to obtain a field matching result;

if the field matching result is complete matching, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a first preset value;

and if the field matching result is not completely matched, determining the corresponding deviation degree of the current first main body relation record under the text type condition as a second preset value.

7. The method of claim 1, wherein the set of external subject relationships comprises a plurality of external subject relationship records, the set of internal subject relationships comprises a plurality of internal subject relationship records, and the updating the set of internal subject relationships based on the set of external subject relationships comprises:

Converting each internal principal relation type in the internal principal relation set based on each external principal relation type in the external principal relation set and a second preset relation mapping table to obtain a converted internal principal relation set;

for each internal principal relation record included in the converted internal principal relation set, matching a current internal principal relation record with each external principal relation record included in the external principal relation set to obtain a matching result corresponding to the current internal principal relation record, determining a second external principal identifier matched with the current internal principal relation record based on the matching result, and adding the second external principal identifier into the current internal principal relation record;

and under the condition that the second external subject identifier is added to each internal subject relation record included in the converted internal subject relation set, obtaining an updated internal subject relation set.

8. The method of claim 1, wherein the determining the inner and outer principal mapping tables corresponding to the target region based on the updated set of inner principal relationships comprises:

Extracting a second internal subject identifier and a second external subject identifier in each internal subject relationship record in the updated internal subject relationship set;

and establishing an internal and external body mapping table based on each second internal body identifier and each second external body identifier.

9. An information matching apparatus, comprising:

10. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the information matching method of any one of claims 1-8.