CN109583987A - A kind of processing method of data, device and equipment - Google Patents
A kind of processing method of data, device and equipment Download PDFInfo
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- CN109583987A CN109583987A CN201811174158.5A CN201811174158A CN109583987A CN 109583987 A CN109583987 A CN 109583987A CN 201811174158 A CN201811174158 A CN 201811174158A CN 109583987 A CN109583987 A CN 109583987A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
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- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
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Abstract
This specification embodiment discloses processing method, device and the equipment of a kind of data, which comprises obtains copending target data；Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the approval results of the target data are determined.
Description
Technical field
This specification is related to field of computer technology more particularly to a kind of processing method of data, device and equipment.
Background technique
With the fast development of computer technology, internet has become the necessity of people's life and work, Ren Mentong
The Internet transmission data are crossed, the flowing of data can bring huge economic value and social value, but in transmission process
There is a certain security risk, such as leakage and the abuse etc. of data, can to national security, economic development and individual privacy and
Public interest causes certain harm.
Therefore, in data transmission procedure, interested regulatory authorities and the network operation chamber of commerce are by way of manually examining pair
The data of transmission carry out examination & approval and security evaluation, to ensure the legal flowing of data.
But due to the rapid development of internet, the data volume generated daily is larger, if by way of manually examining
The data of transmission are examined, the long flow path that data can be made to examine, low efficiency is not enough to cope with the huge data of generation
Amount, while data volume constantly increases the error rate for also resulting in and manually examining and increases, traffic affecting development, therefore, it is necessary to
A kind of more simplified, more efficient data processing scheme is provided.
Summary of the invention
The purpose of this specification embodiment is to provide processing method, device and the equipment of a kind of data, to solve existing skill
The problem of it is high manually to examine mode long flow path, low efficiency, error rate in art, influences business development.
In order to solve the above technical problems, this specification embodiment is achieved in that
A kind of processing method for data that this specification embodiment provides, which comprises
Obtain copending target data；
Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；
According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the target data is determined
Approval results.
Optionally, described according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, determine institute
State the approval results of target data, comprising:
If the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule, it is determined that the mesh
The approval results of mark data are to pass through；
If the corresponding semantics recognition result of the target data does not meet the scheduled examination & approval rule, it is determined that described
The approval results of target data are not pass through.
Optionally, the method also includes:
If the approval results are to pass through, the way of output of the target data is obtained；
According to the way of output of the target data, output object to the corresponding output data of the target data and interior
Appearance is monitored.
Optionally, the method also includes:
If the output data and the target data are inconsistent, stop exporting the output data.
Optionally, if the approval results are to pass through, the way of output of the target data is obtained, comprising:
If the approval results are to pass through, the target data is filed；
The output monitoring task to the target data is generated, the defeated of the target data is obtained based on the monitor task
Mode out.
Optionally, the method also includes:
If can not judge whether the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule,
The examination & approval for then carrying out predetermined way to the target data are handled.
Optionally, it is described according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule before, packet
It includes:
Obtain the corresponding service identification of the target data；
The scheduled examination & approval rule corresponding with the service identification is obtained from rule database.
Optionally, the target data is cross-border data, and the corresponding service identification of the target data is cross-border business.
A kind of processing unit for data that this specification embodiment provides, described device include:
Module is obtained, for obtaining copending target data；
Identification module obtains the corresponding semantic knowledge of the target data for carrying out semantics recognition to the target data
Other result；
Approval module, for determining according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule
The approval results of the target data.
Optionally, the approval module, comprising:
First judging unit, if meeting the scheduled examination & approval for the corresponding semantics recognition result of the target data
Rule, it is determined that the approval results of the target data are to pass through；
Second judgment unit, if do not met for the corresponding semantics recognition result of the target data described scheduled careful
Criticize rule, it is determined that the approval results of the target data are not pass through.
Optionally, described device further include:
By module, if being to pass through for the approval results, the way of output of the target data is obtained；
Monitoring module, for the way of output according to the target data, output data corresponding to the target data
Output object and content be monitored.
Optionally, described device further include:
Stopping modular stops exporting the output number if inconsistent for the output data and the target data
According to.
It is optionally, described to pass through module, comprising:
Profiling unit files the target data if being to pass through for the approval results；
Generation unit obtains institute based on the monitor task for generating the output monitoring task to the target data
State the way of output of target data.
Optionally, described device further include:
Judgment module, if for that can not judge it is described pre- whether the corresponding semantics recognition result of the target data meets
Fixed examination & approval rule, the then examination & approval for carrying out predetermined way to the target data are handled.
Optionally, described device further include:
Mark module, for obtaining the corresponding service identification of the target data；
Rule module is obtained, for obtaining the scheduled examination & approval corresponding with the service identification from rule database
Rule.
Optionally, the target data is cross-border data, and the corresponding service identification of the target data is cross-border business.
A kind of processing equipment for data that this specification embodiment provides, the equipment include:
Processor；And
It is arranged to the memory of storage computer executable instructions, the executable instruction makes the place when executed
It manages device and executes following operation:
Obtain copending target data；
Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；
According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the target data is determined
Approval results.
The technical solution provided by above this specification embodiment is as it can be seen that this specification embodiment is copending by obtaining
Target data carries out semantics recognition to target data, obtains the corresponding semantics recognition of target data as a result, then according to number of targets
According to corresponding semantics recognition result and scheduled examination & approval rule, the approval results of target data are determined.In this way, in approval process
In, it does not need to examine data by way of manually examining, and only need to data be carried out with semantics recognition, and according to identification
Result combine examination & approval rule that can quickly obtain the approval results of data, so as to shorten the process of examination & approval, improve examination & approval
Efficiency, pushed the development of business.
Detailed description of the invention
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
The some embodiments recorded in this specification, for those of ordinary skill in the art, in not making the creative labor property
Under the premise of, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of processing method embodiment of data of this specification；
Fig. 2 is the processing method embodiment of this specification another kind data；
Fig. 3 is a kind of structural schematic diagram of data processing system of this specification；
Fig. 4 is a kind of processing device embodiment of data of this specification；
Fig. 5 is a kind of processing equipment embodiment of data of this specification.
Specific embodiment
This specification embodiment provides processing method, device and the equipment of a kind of data.
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation
Attached drawing in book embodiment is clearly and completely described the technical solution in this specification embodiment, it is clear that described
Embodiment be only this specification a part of the embodiment, instead of all the embodiments.The embodiment of base in this manual,
Every other embodiment obtained by those of ordinary skill in the art without making creative efforts, all should belong to
The range of this specification protection.
Embodiment one
As shown in Figure 1, this specification embodiment provides a kind of processing method of data, the executing subject of this method can be
Server, the server can be independent server, be also possible to the server cluster being made of multiple servers, moreover,
The server can be the background server of a certain business (the cross-border business of such as data or the cross-platform transmission services of data)
Deng.This method can specifically include following steps:
In step s 102, copending target data is obtained.
Wherein, target data can be comprising the sensitive information of some or multiple personal information, certain business or multiple business
Or the number for receiving one or more contents such as object, the way of output of target data, authorization message of important information, target data
According to.Personal information can be with electronics perhaps other modes record information also, personal information can individually or and other
Information combines and then identifies someone true identity, or reflects that someone lives and/or the various information of working condition.It is a
It may include personal sensitive information in people's information, personal sensitive information can be once leakage, illegal offer or abuse potential danger
The personal information of victimization body and property safety, the leakage of personal sensitive information or is abused and may result in personal reputation, body and mind
Health is damaged or discriminatory treatment etc..The way of output of target data can be through output equipments such as mail, gateways or
Output application carries out the mode of data output.Authorization message can be data sender whether by the collection of data, transfer, altogether
It enjoys, disclose the information that the controls such as disclosure license to data receiver, wherein collecting can be the control obtained to personal information
The behavior of power, including actively being provided, obtained by way of data interaction or in a manner of record by personal, and by altogether
Enjoy, transfer the possession of, collecting the mode of public information and indirect gain etc..Transfer can be personal information control by a controller
The process shifted to another controller.Open disclose can be to behavior social or that specific crowd does not release news.
In an implementation, with the fast development of computer technology, internet has become the required of people's life and work
Product, people are by the Internet transmission data, and the flowing of data can bring huge economic value and social value.However,
There is also certain security risk in transmission process, such as leakage and the abuse etc. of data, can to national security, economic development with
And individual privacy and public interest cause certain harm.Therefore, in general, in data transmission procedure, interested regulatory authorities and
The network operation chamber of commerce examines to whether the data of transmission close rule, for example, to the sensitive information for including in the data of transmission, plus
The contents such as confidential information, authorization message carry out security evaluation, while ensureing the legal flowing of data, reduce data flow process
In the risk that may generate.
In general, examination & approval and security evaluation can be carried out to the data of transmission by way of manually examining, still, due to mutual
The rapid development of networking can generate a large amount of data daily, and be examined by above-mentioned artificial examination & approval mode the data of transmission
Batch and security evaluation, data examination & approval process it is longer, data examination & approval inefficiency, be not enough to cope with current huge data
Amount.In addition, the difficulty manually examined can be increasingly as data volume constantly increases the continuous aggravation with data diversification of forms
Greatly, the error rate so as to cause data examination & approval is higher, affects the fast development of business.For this purpose, this specification embodiment provides
A kind of technical solution that can solve the above problem, specifically may refer to following the description:
To send data instance to third party's business platform by certain business platform, specifically to pass through Alipay application query
For the common reserve fund information of certain user, user can star the application program of Alipay, and find inquiry common reserve fund option or
Entrance, user can send common reserve fund inquiry request to the background server of Alipay application program by the option or entrance.
Since the common reserve fund information of inquiry user needs user to provide its Real Name, the Alipay account of user, identification card number, public product
The information such as golden account, it is therefore, available after the background server of Alipay application program receives the common reserve fund inquiry request
The information such as the Real Name of the user, the Alipay account of user, ID card No., common reserve fund account and cell-phone number, due to upper
The personal information or individual privacy information in information including the user are stated, in addition, it is desirable to which above- mentioned information are transferred to third party's industry
Business platform, therefore, in order to guarantee the safety of data, the background server of Alipay application program is needed to above-mentioned to be transmitted
Data are examined, and above-mentioned data are the copending target data got, may include user in the target data
Personal information or personal sensitive information (Real Name, ID card No., common reserve fund account and the cell-phone number of such as user), mesh
Mark the reception object (i.e. common reserve fund query web) of data, authorization message (such as backstage of Alipay application program of target data
Control of the server to above-mentioned target data) etc..
In addition, copending target data is also possible to the data of cross-border output, such as user is cross-border by shopping website
Overseas commodity are bought, at this point, user can provide personal information needed for buying commodity, such as identification card number to the shopping website
Code and contact method etc., before the above-mentioned personal information of the user is supplied to overseas commodity operator, shopping website
It needs to examine above-mentioned personal information etc..The copending target data that shopping website obtains may include what user provided
Personal information, purchase overseas commodity information and the relevant information of overseas commodity operator to be bought etc..
Provided by the above embodiment is the acquisition modes of optional, achievable copending target data, is actually being answered
In, copending target data can be diversified, and this specification embodiment does not do specific restriction to this.
In step S104, semantics recognition is carried out to target data, obtains the corresponding semantics recognition result of target data.
Wherein, to target data carry out semantics recognition can be to include in target data reception object, target data
The way of output, target data whether be encryption data, target data whether be sensitive data, target data whether be authorized to etc.
The identification of keyword.
In an implementation, after getting copending target data, semantics recognition can be carried out to target data, it can
Obtain the keyword for meeting preset rules for including in target data, such as receive object, the way of output etc..
By taking user buys overseas commodity by shopping platform as an example, when the copending target data for receiving user's offer
When, if copending target data is that " the user A that ID card No. is X buys commodity B, and the affiliated Overseas Carriers of commodity B are
The contact method of C, user A are 138XXXXXXXX ", carry out semantics recognition to the target data, the result for obtaining semantics recognition can
To be: the personal information of user includes ID card No. (X) and contact method (138XXXXXXXX), the reception pair of target data
As for Overseas Carriers C belonging to commodity B.It specifically can be as shown in table 1.
Table 1
| User name | ID card No. | Contact method | Product name | The reception object of target data |
| A | X | 138XXXXXXXX | B | C |
In step s 106, according to the corresponding semantics recognition result of target data and scheduled examination & approval rule, target is determined
The approval results of data.
Wherein, scheduled examination & approval rule can be the preset conjunction rule to target data transmission or legitimacy is examined
The rule criticized, for example, examination & approval rule is if having certain sensitive information in target data, and encrypted to the sensitive information
Processing, it may be considered that target data is conjunction rule, otherwise it is assumed that target data irregularity, alternatively, examination & approval rule is if user
One party is authorized to the control of target data, it may be considered that target data is to close rule, otherwise it is assumed that target data irregularity
Deng.
In an implementation, the result for carrying out semantics recognition to target data can be the extraction to keyword in target data,
The keyword root extracted can be examined according to scheduled examination & approval rule.Pass through the inquiry of Alipay application program with user
For people's common reserve fund, when acquisition copending target data be " the common reserve fund account for the user A that ID card No. is X is B,
The password of user's Alipay is Z ", the result of semantics recognition is carried out to the target data are as follows: ID card No. X, user are entitled
A, Alipay password are Z, and common reserve fund account is B.For inquiring the data of common reserve fund, if scheduled examination & approval rule is output number
According to the ID card No. and common reserve fund account that only need to include user, without allowing in output data comprising about user's Alipay account
Number relevant information (account and password of such as user's Alipay), if the phase containing user's Alipay account in output data
Information is closed, then does not allow to export.And in the copending target data obtained, except the ID card No. and common reserve fund account of user
Outside, also include user's Alipay account relevant information (i.e. Alipay password), then to the approval results of the target data
As irregularity.
It in practical applications, include certain sensitive informations in copending target data or data to be transmitted, it can be with
Sensitive information therein is handled, then, is allowing the data to transmit or is examining by, for example, can be to certain sensitivities
Information carries out anonymization or goes the processing of markization, wherein and anonymization can be through the technical treatment to personal information, so that
Personal information can not be identified, and treated process that information cannot be reconditioned, and markization is gone to can be by believing individual
The technical treatment of breath makes it in the case where not by additional information, can not identify the process of personal information content.
In addition, the predetermined examination & approval rule of cross-border data can be set with reference to " data departure security evaluation guide ",
In, " data leave the country security evaluation guide " define personal information and significant data departure security evaluation process, evaluating outline and
The contents such as evaluation scheme, can be for network operator as reference, to network operator to the personal information overseas provided and again
Data are wanted to carry out safe self-evaluating.
For example, by taking user buys overseas commodity by shopping platform as an example, when the copending mesh for receiving user's offer
When marking data, semantics recognition can be carried out to target data, may include: user's by the keyword that semantics recognition extracts
Personal information (may include identification card number (X) and contact method (138XXXXXXXX)), user shopping platform credit grade
(such as two magnitudes), user shopping platform related registration information (including name, gender, the age, address, educational background, income,
Account, contact method etc.) and target data reception object (Overseas Carriers C belonging to commodity B), scheduled examination & approval rule
It can be reference " data departure security evaluation guide " setting, in " data departure security evaluation guide ", for e-commerce
Module, user belong to significant data in the registration information of shopping platform, the credit record of user, and shopping platform can be to important
The attributes such as amount, the range of data are defined, and can such as set cannot contain any significant data in the target data of output
(such as user is inclined in the credit record of shopping platform, the consumption habit of user and consumption in the registration information of shopping platform, user
It is good etc.), according to the scheduled examination & approval rule, due to the credit record of the registration information containing user and user in the target data
Equal significant datas, may generate uncontrollable risk such as leaking data of user, thus the target data do not meet it is scheduled
Examination & approval rule, approval results are irregularity.
This specification embodiment provides a kind of processing method of data, by obtaining copending target data, to target
Data carry out semantics recognition, obtain the corresponding semantics recognition of target data as a result, then according to the corresponding semantic knowledge of target data
Other result and scheduled examination & approval rule, determine the approval results of target data.In this way, not needing to pass through people in approval process
The mode of work examination & approval examines data, and only need to data be carried out with semantics recognition, and is combined and examined according to the result of identification
Rule can quickly obtain the approval results of data, so as to shorten the process of examination & approval, improve the efficiency of examination & approval, pushed industry
The development of business.
Embodiment two
As shown in Fig. 2, this specification embodiment provides a kind of processing method of data, the executing subject of this method can be
Server, the server can be independent server, be also possible to the server cluster being made of multiple servers, moreover,
The server can be the background server of a certain business (the cross-border business of such as data or the cross-platform transmission services of data)
Deng.This method can specifically include following steps:
In step S202, copending target data is obtained.
The concrete processing procedure of above-mentioned steps S202 may refer to the phase in the step S102 in above-described embodiment one inside the Pass
Hold, then this is repeated no more.
In step S204, semantics recognition is carried out to target data, obtains the corresponding semantics recognition result of target data.
The concrete processing procedure of above-mentioned steps S204 may refer to the phase in the step S104 in above-described embodiment one inside the Pass
Hold, then this is repeated no more.
In step S206, the corresponding service identification of target data is obtained.
Wherein, service identification can be title or number of certain business etc., and the setting of service identification can serve to indicate that pair
The examination & approval direction of data or examination & approval rule, such as the privacy of data is examined, or data control authority is examined
Batch, or the safety of cross-border data is examined etc..
In an implementation, the service identification that may include the target data in target data is known by the semanteme of step S204
Not, the corresponding service identification of the available target data, for example, the target data obtained can be " common reserve fund inquiry: identity
The common reserve fund account of the card number user A for being X is B, and the password of user's Alipay is Z ", from the semantics recognition result of the target data
In available " common reserve fund inquiry " business service identification.
When target data is cross-border data, corresponding service identification is cross-border business.For example, the target data obtained is
" cross-border business: user A buys overseas commodity B " can extract " cross-border business " this keyword by semantics recognition, then should
The corresponding service identification of target data is " cross-border business ", which is cross-border data.
In addition to the above, the phase that the corresponding service identification of target data can also be subsidiary from the target data got
It closes and is obtained in data, for example, the target data obtained can be attached to comprising phases such as output object, the way of output and service identifications
Data are closed, the corresponding service identification of the target data can be obtained from related data.
In step S208, scheduled examination & approval rule corresponding with service identification is obtained from rule database.
Wherein, scheduled examination & approval rule has been can store in rule database, different service identifications can correspond to difference
Examination & approval rule, such as privacy business can correspond to scheduled privacy examination & approval rule, and cross-border business can correspond to cross-border safe
Examination & approval rule.
In an implementation, the incoherent examination & approval rule of multiple contents, such as privacy examination & approval can store in rule database
Rule, encryption examination & approval rule, authorization examination & approval rule etc., service identification can correspond to one or more rules, such as individual privacy industry
Business mark can correspond to privacy examination & approval rule, and the service identification of cross-border data can correspond to privacy examination & approval rule and encryption examination & approval rule
Then.Also it can store the examination & approval rule intersected with the presence of multiple contents in rule database, for example, individual privacy service identification pair
In the corresponding cross-border data safety examination & approval rule of the privacy examination & approval rule and cross-border data service mark answered, part phase can be contained
Same privacy examines rule, for example, regulation target data cannot contain in the corresponding privacy examination & approval rule of individual privacy service identification
There are any data about individual subscriber privacy, also phase in the corresponding cross-border data safety examination & approval rule of cross-border data service mark
Defining for answering cannot be containing any data about privacy of user in target data, while needing to carry out to authorization message data
The contents such as encryption, privacy examination & approval rule and cross-border data safety examination & approval rule are all containing the approval requirements to private data.
In step S210, if the corresponding semantics recognition result of target data meets scheduled examination & approval rule, it is determined that
The approval results of target data are to pass through.
In an implementation, when the service identification of target data is individual privacy business, the corresponding regular data of the service identification
Scheduled examination & approval rule in library can be privacy examination & approval rule, and privacy examination & approval rule can be the number to privacy item in data
The regulation of amount, or the examination & approval of certain one or more specific privacy data item are provided, for example, scheduled privacy examination & approval rule can
The important private data items for including to be, in copending target data must not exceed 2, such as the platform account of user, user
Platform account password, the Bank Account Number of user etc., if only this is important for the platform account comprising user in target data
Private data, then the target data just meets scheduled privacy examination & approval rule, alternatively, scheduled privacy examination & approval rule can be mesh
Any significant data item cannot be contained by marking in data, such as the registration information of user, user platform credit information.May be used also
To be examined on personal information security influence, for example, being directed to personal information processing, examines it to close regulation degree, judge it to a
The hurtful various risks of people's legitimate rights and interests, and assessment is for protecting the process of personal operations validity.
In addition, for cross-border data, the corresponding examination & approval rule of cross-border data can be cross-border data examination & approval rule, cross-border number
According to examination & approval rule can be in target data data privacy, data sensitive, data authorization etc. it is one or more in
The judgement of appearance.The corresponding rule of examining of cross-border data can also correspond to different examination & approval rule according to the difference of cross-border type of service
Then, the difference of the service identification and according to cross-border business, corresponding cross-border data examination & approval rule can also be different.For example, across
The examination & approval of border finance class data, the examination & approval of cross-border electronic commerce data, examination & approval of cross-border foodstuff data etc., different cross-border business
It is identified with different examination & approval emphasis, the specific examination & approval Rule content for including can intersect.When target data is cross-border data
When, the service identification of the target data is obtained according to the semantics recognition result of the target data, and obtain according to the service identification
Corresponding examination & approval rule, if the target data meets the examination & approval rule of corresponding cross-border data, the examination & approval of the target data
It as a result is just to pass through.
The examination & approval rule provided in above-described embodiment be optionally, achievable examination & approval rule, it is specific examine rule can
Different with the difference according to practical application scene, this specification embodiment does not limit this.
In step S212, if approval results are to pass through, target data is filed.
In an implementation, if the approval results of target data are to pass through, filing preservation can be carried out to target data,
In, can provider to target data, the output content of target data, the output object of target data, target data it is defeated
Mode, the output time of target data, the contents such as keyword in the target object that is extracted by semantics recognition are filed out.
File to by the target data examined, can be used as national Wang Xin department, competent business department carries out master
" uncontrollable " risk of personal information and significant data in data flowing is grasped and is assessed in the reference frame of pipe portion door assessment,
While ensuring the legal flowing of data, avoid data to national security, economic development, public interests and personal information master
Body equity adversely affects.
In step S214, the output monitoring task to target data is generated, target data is obtained based on monitor task
The way of output.
Wherein, the way of output of target data can be based on mail, open data processing service (ODPS, Open Data
Processing Service), secure file transportation protocol (SFTP, Service File Transfer Protocol), net
The output equipments such as pass, output application or output protocol carry out the mode of data output.
In an implementation, when the approval results of target data be by when, generate to the output monitoring task of the target data,
And obtain the way of output of target data.The way of output of target data can be obtained according to the semantics recognition result to target data
It arrives, can also be obtained from the subsidiary related data of target data, specific acquisition modes can be according to practical application scene
It is different and different.
Output pair in step S216, according to the way of output of target data, to the corresponding output data of target data
As being monitored with content.
In an implementation, the output object and content of the corresponding output data of target data are monitored, it can be to output
The full content of content is monitored, and can also be monitored to the critical field in output content.It is flat by shopping with user
For platform buys overseas commodity, by the keyword in the target data of examination & approval including user contact details and output object
Section, if user phone number be X, output object be Overseas Carriers Y, then in the content of output X and Y be monitored,
Check whether cell-phone number field is X during output, whether output object is Y, can also be carried out to all output contents
Monitoring, it is ensured that during output, output data and the target data that passes through of examination & approval are consistent, wherein output data and
Examine the consistency of target data passed through can be critical field content it is consistent with data, be also possible to output data with
The full content of target data it is consistent, as shown in Figure 3.
According to the difference of the way of output of target data, different monitor tasks can be generated, it can also be based on generation
Different monitoring task is monitored the output object and content of the corresponding output data of target data.
In step S218, if output data is inconsistent with target data, stop output output data.
In an implementation, if monitoring that output data and the target data that passes through of examination & approval are inconsistent, stop output output
The one or more critical fielies for including in data, such as target data one or more keywords corresponding with output data
Section is inconsistent, then stops exporting output data.For another example including the critical field of contact method, and target in target data
Data, which have been examined, to be passed through, wherein the contact method of user is one 11 Mobile Directory Number, if in monitoring process
In, the contact method of user is the number of 5 digits in the output data that monitors, in the target data passed through with examination & approval
11 Mobile Directory Number are not inconsistent, then stop exporting the output data.Alternatively, the contact method of user is still 11 in output data
Position Mobile Directory Number, but from 11 Mobile Directory Number in target data exist it is different, also stop export export number
According to.
In addition, the critical field quantity in critical field and target data in output data need it is consistent, if output
The critical field in target data is increased or decreased in data, then stops exporting output data, for example, comprising using in target data
The contact method at family and the account of user the two critical fielies, and in output data also include the correspondent party of identical user
Formula and the account of user the two critical fielies, but in addition to this, also include platform title and user platform credit
The critical field of situation, it is believed that output data and target data be inconsistent or output data in only include user's
Contact method need to stop exporting output data it is also assumed that output data is inconsistent with target data.
Except whether the content of monitoring output data and target data consistent outer, it is also necessary to the reception object of output data with
The way of output is monitored, it is ensured that exports the reception object and output side of the reception object and the way of output and target data of object
Formula is consistent, otherwise just stops output output data.If the reception object of target data is C, the way of output is mail, and exports number
According to reception object be A, way of output ODPS, reception object and the way of output and target data of output data be not inconsistent, then
Stop exporting the output data.
In addition, to target data carry out semantics recognition after, if the semantics recognition result of target data do not meet it is predetermined
Examination & approval rule, then can be handled by following steps S220.
In step S220, if the corresponding semantics recognition result of target data does not meet scheduled examination & approval rule, really
The approval results for the data that set the goal are not pass through.
In an implementation, in cross-border data examination & approval mode as an example, if user needs through domestic shopping platform purchase abroad
Commodity, need to provide the merchandise news of personal information and purchase to domestic shopping platform, and domestic shopping platform is got comprising using
After the target data of the merchandise news of the personal information and purchase at family, semantics recognition is carried out to the target data.Obtaining language
It after the other result of justice, is examined according to scheduled examination & approval rule, the examination & approval for cross-border electronic commerce data, scheduled examination & approval rule
Then can according to " data leave the country security evaluation guide " setting, or according to other optionally, achievable method set, such as
The personal information that the fruit target data includes does not meet the merchandise news for including in scheduled examination & approval rule or target data not
Meet scheduled examination & approval rule, it is determined that the approval results of the target data are not pass through.
In step S222, if can not judge whether the corresponding semantics recognition result of target data meets scheduled examination & approval
Rule, the then examination & approval for carrying out predetermined way to target data are handled.
Wherein, predetermined way examination & approval processing can be artificial examination & approval mode or it is any other it is preset examine
Criticize rule etc..
In an implementation, in the judgement for whether meeting the corresponding semantics recognition result of target data predetermined examination & approval rule,
There may be the case where can not judging, for example, not making in examination & approval rule to the data demand range of certain critical fielies
Accurate description leads to not whether meet the data of critical field in target data corresponding data area in examination & approval rule
It judges, or to crucial not comprising being corresponded in target data in the data format requirement of certain critical fielies in examination & approval rule
Whether the data format of field, can not meet the requirements to the critical field in target data judges or regular data
The corresponding examination & approval rule of service identification etc. that target data is not yet established in library, when appearance can not judge the corresponding language of target data
When whether adopted recognition result meets scheduled examination & approval rule, scheduled mode can be set, target data is examined, for example,
The corresponding semantics recognition result of target data is examined by way of manually examining.
This specification embodiment provides a kind of processing method of data, by obtaining copending target data, to target
Data carry out semantics recognition, obtain the corresponding semantics recognition of target data as a result, then according to the corresponding semantic knowledge of target data
Other result and scheduled examination & approval rule, determine the approval results of target data.In this way, not needing to pass through people in approval process
The mode of work examination & approval examines data, and only need to data be carried out with semantics recognition, and is combined and examined according to the result of identification
Rule can quickly obtain the approval results of data, while can be monitored to the output data for meeting examination & approval rule, thus
On the basis of the process for shortening examination & approval, the efficiency for improving examination & approval, guarantee the consistency of output data and target data.
Embodiment three
The above are the processing methods for the data that this specification embodiment provides, and are based on same thinking, and this specification is implemented
Example also provides a kind of processing unit of data, as shown in Figure 4.
The processing unit of the data includes: to obtain module 401, identification module 402 and approval module 403, in which:
Module 401 is obtained, for obtaining copending target data；
Identification module 402 obtains the corresponding semanteme of the target data for carrying out semantics recognition to the target data
Recognition result；
Approval module 403, for regular according to the corresponding semantics recognition result of the target data and scheduled examination & approval, really
The approval results of the fixed target data.
In this specification embodiment, the approval module 403, comprising:
First judging unit, if meeting the scheduled examination & approval for the corresponding semantics recognition result of the target data
Rule, it is determined that the approval results of the target data are to pass through；
Second judgment unit, if do not met for the corresponding semantics recognition result of the target data described scheduled careful
Criticize rule, it is determined that the approval results of the target data are not pass through.
In this specification embodiment, described device further include:
By module, if being to pass through for the approval results, the way of output of the target data is obtained；
Monitoring module, for the way of output according to the target data, output data corresponding to the target data
Output object and content be monitored.
In this specification embodiment, described device further include:
Stopping modular stops exporting the output number if inconsistent for the output data and the target data
According to.
It is described to pass through module in this specification embodiment, comprising:
Profiling unit files the target data if being to pass through for the approval results；
Generation unit obtains institute based on the monitor task for generating the output monitoring task to the target data
State the way of output of target data.
In this specification embodiment, described device further include:
Judgment module, if for that can not judge it is described pre- whether the corresponding semantics recognition result of the target data meets
Fixed examination & approval rule, the then examination & approval for carrying out predetermined way to the target data are handled.
In this specification embodiment, described device further include:
Mark module, for obtaining the corresponding service identification of the target data；
Rule module is obtained, for obtaining the scheduled examination & approval corresponding with the service identification from rule database
Rule.
In this specification embodiment, the target data is cross-border data, and the corresponding service identification of the target data is
Cross-border business.
This specification embodiment provides a kind of processing unit of data, by obtaining copending target data, to target
Data carry out semantics recognition, obtain the corresponding semantics recognition of target data as a result, then according to the corresponding semantic knowledge of target data
Other result and scheduled examination & approval rule, determine the approval results of target data.In this way, not needing to pass through people in approval process
The mode of work examination & approval examines data, and only need to data be carried out with semantics recognition, and is combined and examined according to the result of identification
Rule can quickly obtain the approval results of data, so as to shorten the process of examination & approval, improve the efficiency of examination & approval, pushed industry
The development of business.
Example IV
The above are the processing units for the data that this specification embodiment provides, and are based on same thinking, and this specification is implemented
Example also provides a kind of processing equipment of data, as shown in Figure 5.
The processing equipment of the data can be server provided by the above embodiment or terminal device.
The processing equipment of data can generate bigger difference because configuration or performance are different, may include one or one
Above processor 501 and memory 502, can store in memory 502 one or more storage application programs or
Data.Wherein, memory 502 can be of short duration storage or persistent storage.The application program for being stored in memory 502 may include
One or more modules (diagram is not shown), each module may include the series of computation in the processing equipment to data
Machine executable instruction.Further, processor 501 can be set to communicate with memory 502, in the processing equipment of data
Execute the series of computation machine executable instruction in memory 502.The processing equipment of data can also include one or one with
Upper power supply 503, one or more wired or wireless network interfaces 504, one or more input/output interfaces 505,
One or more keyboards 506.
Specifically in the present embodiment, the processing equipment of data includes memory and one or more program,
Perhaps more than one program is stored in memory and one or more than one program may include one or one for one of them
It is a with upper module, and each module may include the series of computation machine executable instruction in processing equipment to data, and pass through
Configuration includes for carrying out following calculate to execute this or more than one program by one or more than one processor
Machine executable instruction:
Obtain copending target data；
Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；
According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the target data is determined
Approval results.
Optionally, described according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, determine institute
State the approval results of target data, comprising:
If the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule, it is determined that the mesh
The approval results of mark data are to pass through；
If the corresponding semantics recognition result of the target data does not meet the scheduled examination & approval rule, it is determined that described
The approval results of target data are not pass through.
Optionally, the method also includes:
If the approval results are to pass through, the way of output of the target data is obtained；
According to the way of output of the target data, output object to the corresponding output data of the target data and interior
Appearance is monitored.
Optionally, the method also includes:
If the output data and the target data are inconsistent, stop exporting the output data.
Optionally, if the approval results are to pass through, the way of output of the target data is obtained, comprising:
If the approval results are to pass through, the target data is filed；
The output monitoring task to the target data is generated, the defeated of the target data is obtained based on the monitor task
Mode out.
Optionally, the method also includes:
If can not judge whether the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule,
The examination & approval for then carrying out predetermined way to the target data are handled.
Optionally, it is described according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule before, packet
It includes:
Obtain the corresponding service identification of the target data；
The scheduled examination & approval rule corresponding with the service identification is obtained from rule database.
Optionally, the target data is cross-border data, and the corresponding service identification of the target data is cross-border business.
This specification embodiment provides a kind of processing equipment of data, by obtaining copending target data, to target
Data carry out semantics recognition, obtain the corresponding semantics recognition of target data as a result, then according to the corresponding semantic knowledge of target data
Other result and scheduled examination & approval rule, determine the approval results of target data.In this way, not needing to pass through people in approval process
The mode of work examination & approval examines data, and only need to data be carried out with semantics recognition, and is combined and examined according to the result of identification
Rule can quickly obtain the approval results of data, so as to shorten the process of examination & approval, improve the efficiency of examination & approval, pushed industry
The development of business.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer
Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, designs and makes without asking chip maker
Dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " is patrolled
Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development,
And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed is most generally used at present
Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer
This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages,
The hardware circuit for realizing the logical method process can be readily available.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can
Read medium, logic gate, switch, specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and insertion microcontroller, the example of controller includes but is not limited to following microcontroller
Device: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320 are deposited
Memory controller is also implemented as a part of the control logic of memory.It is also known in the art that in addition to
Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic
Controller is obtained to come in fact in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion microcontroller etc.
Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it
The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions
For either the software module of implementation method can be the structure in hardware component again.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when specification one or more embodiment.
It should be understood by those skilled in the art that, the embodiment of this specification can provide as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or knot can be used in this specification one or more embodiment
The form of embodiment in terms of conjunction software and hardware.Moreover, this specification one or more embodiment can be used at one or more
A wherein includes computer-usable storage medium (the including but not limited to magnetic disk storage, CD- of computer usable program code
ROM, optical memory etc.) on the form of computer program product implemented.
The embodiment of this specification is referring to the method, equipment (system) and computer journey according to this specification embodiment
The flowchart and/or the block diagram of sequence product describes.It should be understood that flow chart and/or box can be realized by computer program instructions
The combination of the process and/or box in each flow and/or block and flowchart and/or the block diagram in figure.It can provide this
A little computer program instructions are to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
Processor to generate a machine so that the finger executed by the processor of computer or other programmable data processing devices
It enables and generates to specify in one or more flows of the flowchart and/or one or more blocks of the block diagram
The device of function.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that the embodiment of this specification can provide as the production of method, system or computer program
Product.Therefore, this specification one or more embodiment can be used complete hardware embodiment, complete software embodiment or combine software
With the form of the embodiment of hardware aspect.Moreover, this specification one or more embodiment can be used it is one or more wherein
It include computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, the light of computer usable program code
Learn memory etc.) on the form of computer program product implemented.
This specification one or more embodiment can computer executable instructions it is general on
It hereinafter describes, such as program module.Generally, program module includes executing particular task or realization particular abstract data type
Routine, programs, objects, component, data structure etc..Can also practice in a distributed computing environment this specification one or
Multiple embodiments, in these distributed computing environments, by being executed by the connected remote processing devices of communication network
Task.In a distributed computing environment, the local and remote computer that program module can be located at including storage equipment is deposited
In storage media.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely the embodiments of this specification, are not limited to this specification.For art technology
For personnel, this specification can have various modifications and variations.It is all made any within the spirit and principle of this specification
Modification, equivalent replacement, improvement etc., should be included within the scope of the claims of this specification.
Claims (17)
1. a kind of processing method of data, which comprises
Obtain copending target data；
Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；
According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the examination & approval of the target data are determined
As a result.
2. described according to the corresponding semantics recognition result of the target data and pre- according to method described in claims 1
Fixed examination & approval rule, determines the approval results of the target data, comprising:
If the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule, it is determined that the number of targets
According to approval results be pass through；
If the corresponding semantics recognition result of the target data does not meet the scheduled examination & approval rule, it is determined that the target
The approval results of data are not pass through.
3. according to the method described in claim 2, the method also includes:
If the approval results are to pass through, the way of output of the target data is obtained；
According to the way of output of the target data, output object and content to the corresponding output data of the target data into
Row monitoring.
4. according to the method described in claim 3, the method also includes:
If the output data and the target data are inconsistent, stop exporting the output data.
5. if according to the method described in claim 3, the approval results obtain the target data to pass through
The way of output, comprising:
If the approval results are to pass through, the target data is filed；
The output monitoring task to the target data is generated, the output side of the target data is obtained based on the monitor task
Formula.
6. according to the method described in claim 2, the method also includes:
It is right if can not judge whether the corresponding semantics recognition result of the target data meets the scheduled examination & approval rule
The target data carries out the examination & approval processing of predetermined way.
7. according to the method described in claim 1, described according to the corresponding semantics recognition result of the target data and scheduled
Before examination & approval rule, comprising:
Obtain the corresponding service identification of the target data；
The scheduled examination & approval rule corresponding with the service identification is obtained from rule database.
8. according to the method described in claim 7, the target data is cross-border data, the corresponding business mark of the target data
Knowing is cross-border business.
9. a kind of processing unit of data, described device include:
Module is obtained, for obtaining copending target data；
Identification module obtains the corresponding semantics recognition knot of the target data for carrying out semantics recognition to the target data
Fruit；
Approval module, described in determining according to the corresponding semantics recognition result of the target data and scheduled examination & approval rule
The approval results of target data.
10. according to device described in claims 9, the approval module, comprising:
First judging unit, if meeting the scheduled examination & approval rule for the corresponding semantics recognition result of the target data
Then, it is determined that the approval results of the target data are to pass through；
Second judgment unit, if not meeting the scheduled examination & approval rule for the corresponding semantics recognition result of the target data
Then, it is determined that the approval results of the target data are not pass through.
11. device according to claim 10, described device further include:
By module, if being to pass through for the approval results, the way of output of the target data is obtained；
Monitoring module, for the way of output according to the target data, to the defeated of the corresponding output data of the target data
Object and content are monitored out.
12. device according to claim 11, described device further include:
Stopping modular stops exporting the output data if inconsistent for the output data and the target data.
13. device according to claim 11, described to pass through module, comprising:
Profiling unit files the target data if being to pass through for the approval results；
Generation unit obtains the mesh based on the monitor task for generating the output monitoring task to the target data
Mark the way of output of data.
14. device according to claim 10, described device further include:
Judgment module, if for that can not judge it is described scheduled whether the corresponding semantics recognition result of the target data meets
Examination & approval rule, the then examination & approval for carrying out predetermined way to the target data are handled.
15. device according to claim 9, described device further include:
Mark module, for obtaining the corresponding service identification of the target data；
Rule module is obtained, for obtaining the scheduled examination & approval rule corresponding with the service identification from rule database
Then.
16. device according to claim 15, the target data is cross-border data, the corresponding business of the target data
It is identified as cross-border business.
17. a kind of processing equipment of data, the equipment include:
Processor；And
It is arranged to the memory of storage computer executable instructions, the executable instruction makes the processor when executed
Execute following operation:
Obtain copending target data；
Semantics recognition is carried out to the target data, obtains the corresponding semantics recognition result of the target data；
According to the corresponding semantics recognition result of the target data and scheduled examination & approval rule, the examination & approval of the target data are determined
As a result.
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