CN110442774A - Information acquisition method and device - Google Patents
Information acquisition method and device Download PDFInfo
- Publication number
- CN110442774A CN110442774A CN201910629175.1A CN201910629175A CN110442774A CN 110442774 A CN110442774 A CN 110442774A CN 201910629175 A CN201910629175 A CN 201910629175A CN 110442774 A CN110442774 A CN 110442774A
- Authority
- CN
- China
- Prior art keywords
- information
- document
- parameter
- target component
- risk
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 82
- 238000013507 mapping Methods 0.000 claims abstract description 30
- 238000000605 extraction Methods 0.000 claims description 35
- 238000004590 computer program Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 244000046052 Phaseolus vulgaris Species 0.000 claims description 7
- 235000010627 Phaseolus vulgaris Nutrition 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 13
- 239000011159 matrix material Substances 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 241000208340 Araliaceae Species 0.000 description 6
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 6
- 235000003140 Panax quinquefolius Nutrition 0.000 description 6
- 238000013506 data mapping Methods 0.000 description 6
- 235000008434 ginseng Nutrition 0.000 description 6
- 239000000047 product Substances 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000012502 risk assessment Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000013075 data extraction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000005192 partition Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013497 data interchange Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- ONUFESLQCSAYKA-UHFFFAOYSA-N iprodione Chemical compound O=C1N(C(=O)NC(C)C)CC(=O)N1C1=CC(Cl)=CC(Cl)=C1 ONUFESLQCSAYKA-UHFFFAOYSA-N 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000002715 modification method Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
Abstract
The embodiment of the present application provides a kind of information acquisition method and device, wherein this method comprises: receiving the document information acquisition request that user terminal is sent, the document information acquisition request carries target information field identification；Target component configuration information corresponding with the target information field identification is obtained from preset document parameter configuration table, the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table, the target component configuration information includes target component source-information；Document information corresponding with the target component source-information is extracted from database；The document information is sent to the user terminal.Therefore, it is able to ascend the efficiency when inquiry of document information.
Description
Technical field
This application involves technical field of data processing, and in particular to a kind of information acquisition method and device.
Background technique
With the rapid development of Internet, the total data of the various products information (for example, document information etc.) of each enterprise
Also Internet technology is more and more relied on.Data are stored by devices such as servers, are obtained by way of inquiry
Take the data of needs.It is existing to be related to the use of multiple documents in the application of some products, root can be encountered in existing scheme
The case where obtaining different information fields according to different documents, general solution need to provide multiple services or query interface,
Cause the resource consumption in the document information inquiry of document larger.
Summary of the invention
The embodiment of the present application provides a kind of information acquisition method and device, is able to ascend the efficiency when inquiry of document information.
The first aspect of the embodiment of the present application provides a kind of document information query method, which comprises
The document information acquisition request that user terminal is sent is received, the document information acquisition request carries target information word
Segment identification；
Target component corresponding with the target information field identification is obtained from preset document parameter configuration table to match
Confidence ceases, and the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table, described
Target component configuration information includes target component source-information；
Document information corresponding with the target component source-information is extracted from database；
The document information is sent to the user terminal.
The second aspect of the embodiment of the present application provides a kind of information acquisition device, and described device includes receiving unit, obtains
Take unit, extraction unit and transmission unit, wherein
Receiving unit, for receiving the document information acquisition request of user terminal transmission, the document information acquisition request
Carry target information field identification；
Acquiring unit, it is corresponding with the target information field identification for being obtained from preset document parameter configuration table
Target component configuration information, reflecting between information field mark and parameter configuration is carried in the document parameter configuration table
Relationship is penetrated, the target component configuration information includes target component source-information；
Extraction unit, for extracting document information corresponding with the target component source-information from database；
Transmission unit, for the document information to be sent to the user terminal.
The third aspect of the embodiment of the present application provides a kind of terminal, including processor, input equipment, output equipment and storage
Device, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer
Program, the computer program include program instruction, and the processor is configured for calling described program instruction, are executed such as this
Apply for the step instruction in embodiment first aspect.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium, wherein above-mentioned computer can
Read the computer program that storage medium storage is used for electronic data interchange, wherein above-mentioned computer program executes computer
The step some or all of as described in the embodiment of the present application first aspect.
5th aspect of the embodiment of the present application provides a kind of computer program product, wherein above-mentioned computer program produces
Product include the non-transient computer readable storage medium for storing computer program, and above-mentioned computer program is operable to make to count
Calculation machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be
One software installation packet.
Implement the embodiment of the present application, at least has the following beneficial effects:
The document information acquisition request sent by receiving user terminal, the document information acquisition request carry target letter
Field identification is ceased, target component corresponding with the target information field identification is obtained from preset document parameter configuration table
Configuration information carries the mapping relations between information field mark and parameter configuration, institute in the document parameter configuration table
Stating target component configuration information includes target component source-information, is extracted and the target component source-information phase from database
The document information is sent to the user terminal by corresponding document information, therefore, in the list for receiving user terminal transmission
After demonstrate,proving information acquisition request, the corresponding parameter configuration of information field is determined in document parameter configuration table, then directly
Document information is extracted from database according to parameter configuration, relative in existing scheme, when obtaining multiple documents, is used
Multiple services or port are obtained, the resource consumed when can reduce document acquisition of information to a certain extent, while also can
Efficiency when document acquisition of information is promoted to a certain extent.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 provides a kind of interaction schematic diagram of information acquisition method for the embodiment of the present application；
Fig. 2 provides a kind of flow diagram of information acquisition method for the embodiment of the present application；
Fig. 3 provides the flow diagram of another information acquisition method for the embodiment of the present application；
Fig. 4 provides the flow diagram of another information acquisition method for the embodiment of the present application；
Fig. 5 provides the flow diagram of another information acquisition method for the embodiment of the present application；
Fig. 6 is a kind of structural schematic diagram of terminal provided by the embodiments of the present application；
Fig. 7 provides a kind of structural schematic diagram of information acquisition device for the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
" embodiment " mentioned in this application is it is meant that a particular feature, structure, or characteristic described can be in conjunction with the embodiments
Included at least one embodiment of the application.The phrase, which occurs, in each position in the description might not each mean phase
Same embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art are explicitly
Implicitly understand, embodiments described herein can be combined with other embodiments.
User terminal involved by the embodiment of the present application may include the various handheld devices with wireless communication function,
Mobile unit, wearable device calculate equipment or are connected to other processing equipments and various forms of radio modem
User equipment (user equipment, UE), mobile station (mobile station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as user terminal.
In order to better understand a kind of information acquisition method provided by the embodiments of the present application, below to information acquisition method into
Row is briefly introduced.As shown in FIG. 1, FIG. 1 is the embodiment of the present application to provide a kind of interaction schematic diagram of information acquisition method.Figure is such as
Shown in 1, user terminal is sent to server and sends document information acquisition request, and document information acquisition request carries target information field
Mark, server receives the single needle information acquisition request that user terminal is sent, and extracts target information field identification, server
Target component configuration information corresponding with aiming field mark is obtained from the preset document parameter configuration table of storage, it should
Target component configuration information includes target component source-information, and server is according to the target component source-information, from database
Document information is extracted, finally, the document information is sent to user terminal by server.Accordingly, with respect in existing scheme, In
When obtaining multiple documents, obtained using multiple services or port, when can reduce document acquisition of information to a certain extent
The resource of consumption, while efficiency when can also promote document acquisition of information to a certain extent.
Referring to Fig. 2, Fig. 2 provides a kind of flow diagram of information acquisition method for the embodiment of the present application.Such as Fig. 2 institute
Showing, information acquisition method includes step 201-204, specific as follows:
201, the document information acquisition request that user terminal is sent is received, the document information acquisition request carries target letter
Cease field identification.
Optionally, a class categories can be included at least in document information, class categories for example can be, loan gold
Volume, the loan time limit, loan interest rate or record etc. of refunding.Target information field identification can be understood as carrying out document information unique
The identifier of mark, or any mark of unique identification is carried out to document information.
202, target ginseng corresponding with the target information field identification is obtained from preset document parameter configuration table
Configuration information is counted, the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table,
The target component configuration information includes target component source-information.
Optionally, the embodiment of the present application further includes establishing document parameter configuration table, and the possible document parameter of establishing of one kind is matched
The method for setting table includes step A1-A3, specific as follows:
A1, extraction parameter source-information corresponding with document information；
Wherein it is possible to the extracting parameter source-information from document message sample, carried in document sample corresponding with document
Parameter source-information.
A2, the information field for establishing document information identify the 2-D data mapping relations matrix with parameter source-information；
Optionally, before establishing 2-D data mapping relations matrix, it can also include following method, specifically include step
A21-A22, as follows:
A21, operation is identified to document information, obtains information field mark；
Wherein, it is specifically as follows, document coding includes A0001-A9999, is identified to document information, that is, will be single
Information flag is demonstrate,proved as A0001 to any mark between A9999, and document information is only capable of corresponding information field mark.
A22, operation is identified to parameter source-information, obtains parameter source identification.
Wherein, operation is identified to parameter source-information, is referred in abovementioned steps be identified document parameter
Mode be identified operation.
Optionally, the concrete mode of 2-D data mapping relations matrix is established are as follows: firstly, establishing information field mark and ginseng
Two-dimensional map relational matrix between number source identification, then, parameter source identification replaces with parameter source-information, then can establish
2-D data mapping relations matrix between information field mark and parameter source-information, establishes 2-D data by the above method
Mapping relations matrix is introducing intermediate parameters parameter source identification, initially sets up the relational matrix between mark and mark, then will
Mark is replaced, and can promote accuracy when relational matrix is established to a certain extent.
A3, document parameter configuration table is generated according to the 2-D data mapping relations matrix.
Wherein, three-dimensional data table is established according to the 2-D data mapping relations matrix, matched to obtain document parameterized template
Set table.Specifically, it is to be understood that time shaft is added in three-dimensional data table, that is, increase document the record node updated, it is single
When updating, to this, more new node is marked card, saves to the data for updating front and back, can be inquired simultaneously more with this
With updated data before new, be conducive to analyze data, promote accuracy when data analysis.
Optionally, the embodiment of the present application further includes the operation being updated to document parameter configuration table, be can specifically include
Step B1-B2, as follows:
B1, the document configuration that synchronous serial port controller is sent is obtained by Message Queuing；
Optionally, a kind of possible document configuration acquisition methods include step B11-B13, specific as follows:
B11, the document configuration parameter that user sends via synchronous serial port controller is received by Message Queuing；
B12, the document configuration parameter is identified, determines corresponding at least one document configuration of document configuration parameter
Project；
B13, at least one document configuration item purpose configuration information is extracted, which is combined, obtain document configuration.
Wherein, the mode for extracting at least one document configuration item purpose configuration information can be, according to matching from database
The mapping relations between project and configuration information are set, to determine configuration item purpose configuration information.By this method, user is only needed
Configuration parameter is inputted, document configuration just can be automatically generated according to configuration parameter, it is primary to input, corresponding document can be obtained and match
It sets, so as to promote efficiency when document configuration to a certain extent.
Optionally, the method that the configuration of another document obtains can be with are as follows: shows document configuration template to user, user is based on
The document configuration template carries out filling in for document configuration parameter, receives the document configuration parameter after user fills in, is based on the document
Configuration parameter generates configuration information.It can also include that the customized document configuration of user, user increases in document configuration information
Information is custom-configured, receive user's transmission custom-configures information, custom-configures information to this and parses, if it exists
Configuration project corresponding with self-defined information then custom-configures information according to this and generates the configuration item purpose configuration information, if
It is not present, then to server application configuration project corresponding with the configuration information, if applying successfully, customized is matched according to this
Confidence breath generates the configuration item purpose configuration information, if application failure, caches the self-defined information, and show and be
Unite administrator.By this example, increases user and custom-configure, the operation that user configures document can be promoted to a certain extent
Range, user can generate document configuration corresponding with the demand according to demand, so as to promote user to a certain extent
Experience.
B2, document parameter configuration table is updated in the database according to document configuration.
203, document information corresponding with the target component source-information is extracted from database.
Optionally, a kind of possible method that document information corresponding with target component source-information is extracted from database
It is specific as follows including C1-C3:
C1, the corresponding target component type of the target component source-information is obtained；
Wherein, target component type may include ESG parameter type, QSL parameter type or complexity bean parameter type etc.,
QSL parameter type includes simple QSL parameter type and complexity QSL parameter type.SQL parameter type is structured language
(Structured Query Language) parameter type, ESG parameter type are edge service gateway (edge services
Gateway) parameter type.
C2, according to the mapping relations between preset parameter type and extracting mode, determine and the target component class
The corresponding Objective extraction mode of type；
Wherein, the mapping relations between preset parameter type and extracting mode by historical data create or rule of thumb
Value creation.
C3, it is extracted using the Objective extraction mode, obtains the document information.
Optionally, when target component type is ESG parameter type, target component source-information includes ESG coding and ESG system
One Resource Locator (Uniform Resource Locator, URL), one kind is possible to be carried out using the Objective extraction mode
It extracts, the method for obtaining document information includes step C31-C33, specific as follows:
C31, the target component source-information is divided according to ESG coding and the uniform resource locator
Group obtains the grouping of at least one first object；
Wherein, a kind of possible method being grouped according to ESG coding and ESG uniform resource locator is as follows: parameter
Source-information title, ESG coding, ESG uniform resource locator are as follows:
| PARAM_NAME | ESG_CODE | ESG_URI |
| param1 | APS_CALL_PMS | \xxxx\aaaa |
| param2 | APS_CALL_PMS | \xxxx\aaaa |
| param3 | APS_CALL_PMS | \xxxx\bbbb |
| param4 | APS_CALL_CGI | \yyyy\cccc |
Wherein, PARAM_NAME is parameter source-information title, and ESG_CODE is ESG coding, and ESG_URI is unified for ESG
Resource Locator.Parameter source-information can be then divided into three groupings, specifically: { param1, param2 },
{param3},{param4}。
C32, using preset extraction formula, the grouping of at least one described first object is extracted, it is single to obtain first
Demonstrate,prove parameter；
Wherein, preset extraction formula can be with are as follows: invok (ESG_CODE, ESG_URI) is specifically as follows: invok
(APS_CALL_PMS, xxxx aaaa)；Invok (APS_CALL_PMS, xxxx bbbb)；Invok (APS_CALL_CGI,
xxxx\cccc).First document parameter is usually Map.A kind of possible document example of parameters are as follows:
Map=" resCode ": 0000, " info ": { " fee ": " 1000 ", " feeRate ": " 0.04 ".
C33, according to preset Parameter analysis of electrochemical template, the first document parameter is parsed, document letter is obtained
Breath.
Wherein, preset Parameter analysis of electrochemical template is stored in ESG_PATH field, indicates layer management with comma segmentation.This
Sentence the first document parameter are as follows:
Map=" resCode ": 0000, " info ": { " fee ": " 1000 ", " feeRate ": " 0.04 " example, it carries out
Illustrate, return the result corresponding Parameter analysis of electrochemical template with this are as follows: info.feeRate template then solves the first document parameter
Analysis can be with are as follows: is parsed by map.get (" info ") .get (" feeRate "), to obtain document information.
Optionally, when target component type includes QSL parameter type, target component source-information includes table name, herein
QSL parameter type be simple QSL parameter type, it is a kind of it is possible is extracted using Objective extraction mode, obtain document letter
The method of breath includes step D1-D4, specific as follows:
D1, the target component source-information is grouped according to the table name, obtains at least one second target
Grouping；
Wherein, table name, column name, item title and target component source-information title are as follows:
| PARAM_NAME | TABLE_NAME | COLUMN_NAME | KEY_NAME |
| param1 | APPL_TABLE_A | A | appl_no |
| param2 | APPL_TABLE_A | B | appl_no |
| param3 | APPL_TABLE_A | C | appl_no |
Wherein, PARAM_NAME is target component source-information title, and TABLE_NAME is table name, COLUMN_NAME
For column name, KEY_NAME is item title.A kind of possible grouping are as follows: be grouped according to table name, for example, by table name phase
Same parameter source-information title is classified as a group.It is same second target point by param1, param2, param3 in upper table
Group.
D2, according at least one described second targeted packets, according to preset query template generation method, generate with it is described
The corresponding query template of each second targeted packets；
Wherein, preset query template generation method can be with are as follows: with param1, param2, param3 for same second mesh
It is illustrated for mark grouping, query template is generated by following formula:
{ ' tableNameStr ': ' APPL_TABLE_A ', ' columnNamesStr ': ' A as param1, B as
Param2, C as param ', ' whereStr ': ' appl_no=xxxxx ' }.
D3, it is inquired, is obtained and described each using query template corresponding with each second targeted packets
The corresponding second document parameter of two targeted packets；
Wherein, when being inquired using query template corresponding with each second targeted packets, query template is executed
Ibatis inquiry, obtains the second document parameter corresponding with each second targeted packets.It is with param1, param2, param3
It is illustrated for same second targeted packets: the second document parameter then inquired are as follows: Select $ tableNameStr $
from$columnNamesStr$where$whereStr$。
D4, according to preset analytic method, second document corresponding with each second targeted packets is joined
Number is parsed, and the document information is obtained.
Optionally, preset analytic method matches with the second document parameter, it can be understood as, first to the second document parameter
It is identified, obtains the classification of the second document parameter, determine analytic method further according to the category.It is determined and is parsed according to classification
Method can be determined by the mapping relations between classification and analytic method, and the mapping between classification and analytic method is closed
System can be set by empirical value or historical data is set.
Optionally, when target component type is complexity QSL parameter type, one kind is possible to be carried out using Objective extraction mode
It extracts, the method for obtaining document information includes step E1-E2, specific as follows:
E1, according to preset query argument and inquiry identity information (identification, ID) between mapping relations,
Determine inquiry ID corresponding with the query argument.
Wherein, when parameter type is complexity QSL parameter, since complicated QSL is to need to connect multiple tables, or have complexity
The QSL of logic, therefore, in order to promote search efficiency and query accuracy, need to pre-establish query argument and inquiry ID it
Between mapping relations, and the mapping relations are written in system, inquiry ID are obtained by the mapping relations, using inquiry ID
To be inquired.
E2, it is inquired using the inquiry ID, obtains query result.
Optionally, when target component type is complexity bean parameter type, a kind of possible use Objective extraction mode into
Row extracts, and the method for obtaining document information includes step F1-F2, specific as follows:
F1, the Target Acquisition logic for obtaining the complexity bean parameter type；
Wherein, Target Acquisition logic includes complex logic and simple logic, and complex logic can be sayed and is interpreted as, and cannot directly be led to
Cross the case where parameter is inquired, obtains query result.
If F2, the Target Acquisition logic are preset acquisition logic, according to opposite with the preset acquisition logic
The querying method answered is inquired, and the document information is obtained.
Wherein, preset acquisition logic is complex logic.The corresponding querying method of preset acquisition logic can pass through
Empirical value setting or historical data setting.
Optionally, it is illustrated so that document information is rate information as an example, is called by ESG, obtained corresponding with parameter
Key and list corresponding with key searches corresponding attribute in the corresponding list by key.
204, the document information is sent to the user terminal.
Optionally, document information and information field mark can be combined, combination parameter is obtained, by the combination parameter
It is sent to user terminal.Document information and information field mark are combined the data mark that can be understood as obtaining every kind of data
Know, is combined according to the sequence of Data Identification, obtains combination parameter.Wherein, Data Identification by empirical value or historical data into
Row setting.
In a possible example, document information includes at least one document project, and document project can be overdue time
Several, overdue number of days, number of keeping one's word, number of days of payment beforehand etc. when keeping one's word, can be by above-mentioned project information, to document information pair
The risk of the user answered is analyzed, and obtains the risk class of the user, and a kind of possible method for carrying out risk analysis includes
Step G1-G6, specific as follows:
G1, it obtains in the document information corresponding to the project information and the document information of each document project
User information；
Wherein, this project information for sentencing document project is overdue number, overdue number of days, number of keeping one's word, shifts to an earlier date when keeping one's word
It is illustrated for the number of days of refund, the corresponding user information of document information is it is to be understood that possess the user of the document information
Identity information, for example, phone number, ID card No., passport number or presetting and capableing of the unique identification user's
Information.
G2, according to the project information of each document project, classification processing is carried out at least one described document project,
At least one class categories is obtained, the risk weight of each class categories is different at least one described class categories；
Optionally, classification processing is carried out to document project according to project information, such as can is, if the item of the document project
Only include overdue number, overdue number of days in mesh information, then such document project is classified as the first class categories, if the document project
Project information in only include keep one's word number, when keeping one's word payment beforehand number of days, then such document project is classified as the second classification
Classification, if include simultaneously in the project information of the document project overdue number, overdue number of days, number of keeping one's word, when keeping one's word in advance also
Such document project is then classified as third class categories by the number of days of money, wherein overdue when overdue number of days can be overdue every time
Number of days is also possible to total overdue number of days.
Optionally, a kind of risk weight of possible class categories are as follows: the corresponding risk weight of the first class categories can be with
Value between 0.4-0.6, the corresponding risk weight of the second class categories can value between 0-0.1, third class categories
Corresponding risk weight can be worth between 0.1-0.3, the first class categories, the second class categories, the power of third class categories
The sum of value is 1.
G3, according to preset risk score algorithm, determine each class categories at least one described class categories
Risk score value；
Optionally, preset risk score algorithm for example may is that
Wherein, x is overdue number, and y is overdue number of days, and z is number of keeping one's word, and r is the number of days of payment beforehand when keeping one's word, a1Extremely
anFor the weight of x, b1To bjFor the weight of y, c1To ckFor the weight of z, d1To dfFor the weight of r, A, B, C, D are constant, and Y is wind
Dangerous score value.Different overdue numbers has different weights, and different overdue number of days has different weights, and different keeps one's word
Number has different weights, and different payment beforehand number of days when keeping one's word has different weights.
G4, the risk score value of each class categories is weighed using the risk weight of each risk
It is worth operation, determines the risk score value of the document information；
Wherein, it when carrying out weight operation, by risk score value multiplied by corresponding risk weight, then by product addition, obtains
Risk score value.
G5, according to the risk score value, determine the reference risk class of the corresponding user of the user information；
Optionally, it according to the mapping relations between preset risk class and risk score value section, determines with reference to wind
Dangerous grade.Risk class may include the first risk class, the second risk class, third risk class, the 4th risk class, from
One to the 4th risk class its risk is higher.A kind of mapping relations between possible risk class and risk score value section
It is specific as follows such as table 1:
The mapping table of 1 risk class of table and risk score value section
| Risk class | Risk score value section |
| First risk class | [J,K] |
| Second risk class | (K,F] |
| Third risk class | (F,M] |
| 4th risk class | (M,N] |
Wherein, J, K, F, M, N are the interval endpoint of risk score value.
G6, the user terminal is sent to reference to risk class by described.
In this example, risk analysis is carried out by using the project information of document project, obtains the risk class of user, and
The risk class is sent to user terminal, is differentiated in advance so as to the risk to user, one can be provided for user
Risk reference, so as to promote accuracy when user differentiates risk to a certain extent.
In a possible example, when the risk class of user is lower, the risk class of user can also be carried out
Amendment, obtains the more true risk class of user, and a kind of possible modification method includes step K1-K5, specific as follows:
If the reference risk class of K1, the user are higher than preset risk class, at least one association user is obtained
Information, the association user information are the user information of the association user of the user；
Optionally, preset risk class can be the second risk class.Association user information is it is to be understood that the user
Association user user information, association user can be household, the friend that often contacts, and the friend often contacted can be every
A middle of the month averagely contacts the friend that number is more than certain number, for example, inferior more than 30.
K2, at least one association user information according to determine at least one described association from the database
The corresponding risk class of user obtains at least one co-related risks grade；
Optionally, determine that the method for the risk class of association user can be with from database are as follows: according to the use of association user
Family information, is inquired from database, obtains pipeline risk class.Association user and co-related risks etc. are previously stored in database
Mapping relations between grade.The mapping relations between association user and co-related risks grade are established, abovementioned steps G2- can be passed through
Method described in G5.The co-related risks grade of association user can also be determined by other risk analysis methods.
K3, at least one co-related risks grade according to, determine method according to preset risk class modifying factor, really
Make target risk grade modifying factor；
Optionally, determine that the method for risk class modifying factor can be with are as follows: pass through the connection number of association user and association
Risk class is determined, and connection number is more, and modifying factor is bigger, and connection number is fewer, and modifying factor is smaller；Co-related risks
Higher grade, and modifying factor is smaller, and co-related risks lower grade, and modifying factor is bigger.Can also by determine association user with
Cohesion between the user determines modifying factor according to cohesion and co-related risks grade, and cohesion is higher, modifying factor
Bigger, cohesion is lower, and modifying factor is smaller；Co-related risks higher grade, and modifying factor is smaller, and co-related risks lower grade,
Modifying factor is bigger.
K4, it is modified to described with reference to risk class using the target risk grade modifying factor, obtains target wind
Dangerous grade；
Optionally, it is corrected using target risk grade multiplied by reference risk class, obtains target risk grade.If modifying factor
After son is multiplied by reference risk class, it is the risk class of non-integer, is then handled in the way of rounding, obtain target risk
Grade.
K5, the target risk grade is sent to the user terminal.
In this example, by introducing association user, and risk class is determined by risk class of association user etc.
Modifying factor is modified reference risk class according to modifying factor, accurate when risk class obtains so as to be promoted
Property.
Referring to Fig. 3, Fig. 3 provides the flow diagram of another information acquisition method for the embodiment of the present application.Such as Fig. 3
Shown, information acquisition method includes step 301-306, specific as follows:
301, the document information acquisition request that user terminal is sent is received, the document information acquisition request carries target letter
Cease field identification；
302, target ginseng corresponding with the target information field identification is obtained from preset document parameter configuration table
Configuration information is counted, the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table,
The target component configuration information includes target component source-information；
303, the corresponding target component type of the target component source-information is obtained；
304, it according to the mapping relations between preset parameter type and extracting mode, determines and the target component class
The corresponding Objective extraction mode of type；
305, it is extracted using the Objective extraction mode, obtains the document information；
306, the document information is sent to the user terminal.
It in this example, is extracted by using extracting mode corresponding with parameter type, different parameters can be directed to
Type uses different extracting modes, so as to carry out specific aim extraction, can promote the effect of data extraction to a certain extent
Rate.
Referring to Fig. 4, Fig. 4 provides the flow diagram of another information acquisition method for the embodiment of the present application.Such as Fig. 4
Shown, information acquisition method includes step 401-408, specific as follows:
401, the document information acquisition request that user terminal is sent is received, the document information acquisition request carries target letter
Cease field identification；
402, target ginseng corresponding with the target information field identification is obtained from preset document parameter configuration table
Configuration information is counted, the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table,
The target component configuration information includes target component source-information；
403, the corresponding target component type of the target component source-information is obtained；
404, it according to the mapping relations between preset parameter type and extracting mode, determines and the target component class
The corresponding Objective extraction mode of type；
Wherein, the target component type includes ESG parameter type, and the target component source-information includes ESG coding
With ESG uniform resource locator.
405, the target component source-information is carried out according to ESG coding and the ESG uniform resource locator
Grouping obtains the grouping of at least one first object；
406, using preset extraction formula, the grouping of at least one described first object is extracted, it is single to obtain first
Demonstrate,prove parameter；
407, according to preset Parameter analysis of electrochemical template, the first document parameter is parsed, obtains the document letter
Breath；
408, the document information is sent to the user terminal.
In this example, when parameter type includes ESG coding and ESG uniform resource locator, pass through above two parameter
Source-information is grouped, then each grouping is extracted, obtains the first document parameter, the first document parameter is carried out
Parsing, obtains document information, can be extracted according to classification, so as to promote the efficiency of data extraction.
Referring to Fig. 5, Fig. 5 provides the flow diagram of another information acquisition method for the embodiment of the present application.Such as Fig. 5
Shown, information acquisition method includes step 501-510, specific as follows:
501, the document information acquisition request that user terminal is sent is received, the document information acquisition request carries target letter
Cease field identification；
502, target ginseng corresponding with the target information field identification is obtained from preset document parameter configuration table
Configuration information is counted, the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table,
The target component configuration information includes target component source-information；
503, document information corresponding with the target component source-information is extracted from database；
Wherein, the document information includes at least one document project.
504, the document information is sent to the user terminal；
505, it obtains in the document information corresponding to the project information and the document information of each document project
User information；
506, according to the project information of each document project, at least one described document project is carried out at classification
Reason, obtains at least one class categories, and the risk weight of each class categories is different at least one described class categories；
507, according to preset risk score algorithm, each class categories at least one described class categories are determined
Risk score value；
508, it is carried out using risk score value of the risk weight of each risk to each class categories
The risk score value of the document information is determined in weight operation；
509, according to the risk score value, the reference risk class of the corresponding user of the user information is determined；
510, the user terminal is sent to reference to risk class by described.
Wherein, step 505- step 510 and sequencing of the step 504 without execution.
In this example, after inquiring document information, document information can be analyzed, obtain that there is the document information
User risk class, and the risk class is sent to user terminal, is differentiated in advance so as to the risk to user,
A risk reference can be provided, for user so as to promote accuracy when user differentiates risk to a certain extent.
It is consistent with above-described embodiment, referring to Fig. 6, Fig. 6 is that a kind of structure of terminal provided by the embodiments of the present application is shown
It is intended to, as shown, including processor, input equipment, output equipment and memory, the processor, input equipment, output are set
Standby and memory is connected with each other, wherein for the memory for storing computer program, the computer program includes that program refers to
It enables, the processor is configured for calling described program instruction, and above procedure includes the instruction for executing following steps；
The document information acquisition request that user terminal is sent is received, the document information acquisition request carries target information word
Segment identification；
Target component corresponding with the target information field identification is obtained from preset document parameter configuration table to match
Confidence ceases, and the mapping relations between information field mark and parameter configuration are carried in the document parameter configuration table, described
Target component configuration information includes target component source-information；
Document information corresponding with the target component source-information is extracted from database；
The document information is sent to the user terminal.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that
, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software module for terminal.This
Field technical staff should be readily appreciated that, in conjunction with each exemplary unit and algorithm of embodiment description presented herein
Step, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with hardware also
It is the mode of computer software driving hardware to execute, the specific application and design constraint depending on technical solution.Profession
Technical staff can specifically realize described function to each using distinct methods, but this realization should not be recognized
For beyond scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to terminal, for example, can be right
The each functional unit of each function division is answered, two or more functions can also be integrated in a processing unit.
Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
Illustrate, is schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical to realize
When there may be another division manner.
Consistent with the above, referring to Fig. 7, Fig. 7 provides a kind of structure of information acquisition device for the embodiment of the present application
Schematic diagram.Information acquisition device includes receiving unit 701, acquiring unit 702, extraction unit 703 and transmission unit 704, wherein
Receiving unit 701, for receiving the document information acquisition request of user terminal transmission, the document acquisition of information is asked
It asks and carries target information field identification；
Acquiring unit 702, for being obtained and the target information field identification phase from preset document parameter configuration table
Corresponding target component configuration information carries in the document parameter configuration table between information field mark and parameter configuration
Mapping relations, the target component configuration information includes target component source-information；
Extraction unit 703, for extracting document information corresponding with the target component source-information from database；
Transmission unit 704, for the document information to be sent to the user terminal.
In this example, the document information acquisition request sent by receiving user terminal, the document information acquisition request
Target information field identification is carried, is obtained from preset document parameter configuration table corresponding with the target information field identification
Target component configuration information, reflecting between information field mark and parameter configuration is carried in the document parameter configuration table
Relationship is penetrated, the target component configuration information includes target component source-information, is extracted and the target component from database
The document information is sent to the user terminal by the corresponding document information of source-information, therefore, is receiving user's end
After holding the document information acquisition request sent, the corresponding parameter configuration letter of information field is determined in document parameter configuration table
Breath, then directly extracts document information according to parameter configuration from database, multiple in acquisition relative in existing scheme
When document, obtained using multiple services or port, the money consumed when can reduce document acquisition of information to a certain extent
Source, while efficiency when can also promote document acquisition of information to a certain extent.
Optionally, document message context corresponding with the target component source-information, institute are being extracted from database
Extraction unit 703 is stated to be specifically used for:
Obtain the corresponding target component type of the target component source-information；
According to the mapping relations between preset parameter type and extracting mode, determine and the target component type phase
Corresponding Objective extraction mode；
It is extracted using the Objective extraction mode, obtains the document information.
Optionally, the target component type includes ESG parameter type, and the target component source-information includes that ESG is compiled
Code and ESG uniform resource locator are extracted using the Objective extraction mode described, obtain the document information side
Face, the extraction unit 703 also particularly useful for:
The target component source-information is grouped according to ESG coding and the ESG uniform resource locator,
Obtain the grouping of at least one first object；
Using preset extraction formula, the grouping of at least one described first object is extracted, obtains the first document ginseng
Number；
According to preset Parameter analysis of electrochemical template, the first document parameter is parsed, obtains the document information.
Optionally, the target component type includes QSL parameter type, and the target component source-information includes table name
Claim, extracted described using the Objective extraction mode, obtains the document message context, the extraction unit 703 is also
It is specifically used for:
The target component source-information is grouped according to the table name, obtains at least one second target point
Group；
According at least one described second targeted packets, according to preset query template generation method, generate and described every
The corresponding query template of a second targeted packets；
It is inquired, is obtained and each second mesh using query template corresponding with each second targeted packets
Mark is grouped corresponding second document parameter；
According to preset analytic method, to the second document parameter corresponding with each second targeted packets into
Row parsing, obtains the document information.
Optionally, the target component type includes complexity bean parameter type, uses the Objective extraction side described
Formula extracts, and obtains the document message context, the extraction unit 703 also particularly useful for:
Obtain the Target Acquisition logic of the complexity bean parameter type；
If the Target Acquisition logic is preset acquisition logic, according to corresponding with the preset acquisition logic
Querying method is inquired, and the document information is obtained.
Optionally, the document information includes at least one document project, information acquisition device also particularly useful for:
Obtain in the document information user corresponding to the project information of each document project and the document information
Information；
According to the project information of each document project, classification processing is carried out at least one described document project, is obtained
To at least one class categories, the risk weight of each class categories is different at least one described class categories；
According to preset risk score algorithm, the wind of each class categories at least one described class categories is determined
Dangerous score value；
Weight is carried out to the risk score value of each class categories using the risk weight of each risk
The risk score value of the document information is determined in operation；
According to the risk score value, the reference risk class of the corresponding user of the user information is determined；
The user terminal is sent to reference to risk class by described.
Optionally, information acquisition device also particularly useful for:
If the reference risk class of the user is higher than preset risk class, at least one association user letter is obtained
Breath, the association user information are the user information of the association user of the user；
According at least one described association user information, at least one described association user is determined from the database
Corresponding risk class obtains at least one co-related risks grade；
According at least one described co-related risks grade, method is determined according to preset risk class modifying factor, is determined
Target risk grade modifying factor out；
It is modified to described with reference to risk class using the target risk grade modifying factor, obtains target risk etc.
Grade；
The target risk grade is sent to the user terminal.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, it is as any in recorded in above method embodiment which execute computer
A kind of some or all of information acquisition method step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program make computer execute such as above method embodiment
Some or all of any information acquisition method of middle record step.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, applying for that each functional unit in bright each embodiment can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (read-only memory, ROM), random access memory
The various media that can store program code such as (random access memory, RAM), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
It may include: flash disk, read-only memory, random access device, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of information acquisition method, which is characterized in that the described method includes:
The document information acquisition request that user terminal is sent is received, the document information acquisition request carries target information field mark
Know；
Target component corresponding with the target information field identification is obtained from preset document parameter configuration table matches confidence
It ceases, the mapping relations between information field mark and parameter configuration, the target is carried in the document parameter configuration table
Parameter configuration includes target component source-information；
Document information corresponding with the target component source-information is extracted from database；
The document information is sent to the user terminal.
2. the method according to claim 1, wherein described extract and the target component source from database
The corresponding document information of information, comprising:
Obtain the corresponding target component type of the target component source-information；
According to the mapping relations between preset parameter type and extracting mode, determine corresponding with the target component type
Objective extraction mode；
It is extracted using the Objective extraction mode, obtains the document information.
3. described according to the method described in claim 2, it is characterized in that, the target component type includes ESG parameter type
Target component source-information includes ESG coding and ESG uniform resource locator, and the use Objective extraction mode is mentioned
It takes, obtains the document information, comprising:
The target component source-information is grouped according to ESG coding and the ESG uniform resource locator, is obtained
The grouping of at least one first object；
Using preset extraction formula, the grouping of at least one described first object is extracted, the first document parameter is obtained；
According to preset Parameter analysis of electrochemical template, the first document parameter is parsed, obtains the document information.
4. described according to the method described in claim 2, it is characterized in that, the target component type includes QSL parameter type
Target component source-information includes table name, described to be extracted using the Objective extraction mode, obtains the document information,
Include:
The target component source-information is grouped according to the table name, obtains at least one second targeted packets；
According at least one described second targeted packets, according to preset query template generation method, generate and described each the
The corresponding query template of two targeted packets；
It is inquired, is obtained and each second target point using query template corresponding with each second targeted packets
The corresponding second document parameter of group；
According to preset analytic method, the second document parameter corresponding with each second targeted packets is solved
Analysis, obtains the document information.
5. according to the method described in claim 2, it is characterized in that, the target component type includes complexity bean parameter class
Type, it is described to be extracted using the Objective extraction mode, obtain the document information, comprising:
Obtain the Target Acquisition logic of the complexity bean parameter type；
If the Target Acquisition logic is preset acquisition logic, according to inquiry corresponding with the preset acquisition logic
Method is inquired, and the document information is obtained.
6. method according to any one of claims 1 to 5, which is characterized in that the document information includes at least one list
Card project, the method also includes:
Obtain in the document information letter of user corresponding to the project information of each document project and the document information
Breath；
According to the project information of each document project, classification processing is carried out at least one described document project, obtain to
Lack a class categories, the risk weight of each class categories is different at least one described class categories；
According to preset risk score algorithm, determine that the risk of each class categories at least one described class categories is commented
Score value；
Weight operation is carried out to the risk score value of each class categories using the risk weight of each risk,
Determine the risk score value of the document information；
According to the risk score value, the reference risk class of the corresponding user of the user information is determined；
The user terminal is sent to reference to risk class by described.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
If the reference risk class of the user is higher than preset risk class, at least one association user information, institute are obtained
State the user information for the association user that association user information is the user；
According at least one described association user information, determine that at least one described association user is corresponding from the database
Risk class, obtain at least one co-related risks grade；
According at least one described co-related risks grade, method is determined according to preset risk class modifying factor, determines mesh
Mark risk class modifying factor；
It is modified to described with reference to risk class using the target risk grade modifying factor, obtains target risk grade；
The target risk grade is sent to the user terminal.
8. a kind of information acquisition device, which is characterized in that described device includes:
Receiving unit, for receiving the document information acquisition request of user terminal transmission, the document information acquisition request is carried
Target information field identification；
Acquiring unit, for obtaining mesh corresponding with the target information field identification from preset document parameter configuration table
Parameter configuration is marked, the mapping carried between information field mark and parameter configuration in the document parameter configuration table is closed
System, the target component configuration information includes target component source-information；
Extraction unit, for extracting document information corresponding with the target component source-information from database；
Transmission unit, for the document information to be sent to the user terminal.
9. a kind of terminal, which is characterized in that the processor, defeated including processor, input equipment, output equipment and memory
Enter equipment, output equipment and memory to be connected with each other, wherein the memory is for storing computer program, the computer
Program includes program instruction, and the processor is configured for calling described program instruction, is executed such as any one of claim 1-7
The method.
10. a kind of computer readable storage medium, which is characterized in that the computer storage medium is stored with computer program,
The computer program includes program instruction, and described program instruction makes the processor execute such as right when being executed by a processor
It is required that the described in any item methods of 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910629175.1A CN110442774A (en) | 2019-07-12 | 2019-07-12 | Information acquisition method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910629175.1A CN110442774A (en) | 2019-07-12 | 2019-07-12 | Information acquisition method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110442774A true CN110442774A (en) | 2019-11-12 |
Family
ID=68429637
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910629175.1A Pending CN110442774A (en) | 2019-07-12 | 2019-07-12 | Information acquisition method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110442774A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209061A (en) * | 2019-12-27 | 2020-05-29 | 广东德诚科教有限公司 | Method and device for filling in user information, computer equipment and storage medium |
| CN111680483A (en) * | 2020-05-22 | 2020-09-18 | 平安普惠企业管理有限公司 | Document template updating method and device, electronic equipment and medium |
| CN113554274A (en) * | 2021-06-22 | 2021-10-26 | 未鲲(上海)科技服务有限公司 | Data processing method, system and storage medium |
| CN113656095A (en) * | 2021-08-06 | 2021-11-16 | 北京数码大方科技股份有限公司 | Method and device for processing configuration data |
| CN116521198A (en) * | 2023-04-13 | 2023-08-01 | 广州汽车集团股份有限公司 | Data processing method, device, equipment and computer readable storage medium |
| CN111209061B (en) * | 2019-12-27 | 2024-04-30 | 广东德诚科教有限公司 | User information filling method, device, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103092996A (en) * | 2013-02-21 | 2013-05-08 | 用友软件股份有限公司 | Document data acquisition device and document data acquisition method |
| CN107133233A (en) * | 2016-02-29 | 2017-09-05 | 阿里巴巴集团控股有限公司 | A kind of processing method and processing device of configuration data inquiry |
| CN108876166A (en) * | 2018-06-27 | 2018-11-23 | 平安科技（深圳）有限公司 | Financial risk authentication processing method, device, computer equipment and storage medium |
| CN109062952A (en) * | 2018-06-22 | 2018-12-21 | 北京奇艺世纪科技有限公司 | A kind of data query method, apparatus and electronic equipment |
| CN109785092A (en) * | 2018-12-10 | 2019-05-21 | 平安科技（深圳）有限公司 | Accounting voucher generates management method, device and computer equipment, storage medium |
-
2019
- 2019-07-12 CN CN201910629175.1A patent/CN110442774A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103092996A (en) * | 2013-02-21 | 2013-05-08 | 用友软件股份有限公司 | Document data acquisition device and document data acquisition method |
| CN107133233A (en) * | 2016-02-29 | 2017-09-05 | 阿里巴巴集团控股有限公司 | A kind of processing method and processing device of configuration data inquiry |
| CN109062952A (en) * | 2018-06-22 | 2018-12-21 | 北京奇艺世纪科技有限公司 | A kind of data query method, apparatus and electronic equipment |
| CN108876166A (en) * | 2018-06-27 | 2018-11-23 | 平安科技（深圳）有限公司 | Financial risk authentication processing method, device, computer equipment and storage medium |
| CN109785092A (en) * | 2018-12-10 | 2019-05-21 | 平安科技（深圳）有限公司 | Accounting voucher generates management method, device and computer equipment, storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209061A (en) * | 2019-12-27 | 2020-05-29 | 广东德诚科教有限公司 | Method and device for filling in user information, computer equipment and storage medium |
| CN111209061B (en) * | 2019-12-27 | 2024-04-30 | 广东德诚科教有限公司 | User information filling method, device, computer equipment and storage medium |
| CN111680483A (en) * | 2020-05-22 | 2020-09-18 | 平安普惠企业管理有限公司 | Document template updating method and device, electronic equipment and medium |
| CN113554274A (en) * | 2021-06-22 | 2021-10-26 | 未鲲(上海)科技服务有限公司 | Data processing method, system and storage medium |
| CN113656095A (en) * | 2021-08-06 | 2021-11-16 | 北京数码大方科技股份有限公司 | Method and device for processing configuration data |
| CN113656095B (en) * | 2021-08-06 | 2023-08-04 | 北京数码大方科技股份有限公司 | Processing method and device for configuration data |
| CN116521198A (en) * | 2023-04-13 | 2023-08-01 | 广州汽车集团股份有限公司 | Data processing method, device, equipment and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110442774A (en) | Information acquisition method and device | |
| Abel et al. | Cross-system user modeling and personalization on the social web | |
| CN105893615B (en) | Owner's characteristic attribute method for digging and its system based on Mobile Phone Forensics data | |
| CN103905482B (en) | Method, push server and the system of pushed information | |
| CN105095311B (en) | The processing method of promotion message, apparatus and system | |
| CN103368992A (en) | Message push method and device | |
| CN110019712A (en) | More intent query method and apparatus, computer equipment and computer readable storage medium | |
| CN102073701A (en) | Semantic definition-based multi-data source data querying method | |
| CN105608113B (en) | Judge the method and device of POI data in text | |
| CN110019713A (en) | Based on the data retrieval method and device, equipment and storage medium for being intended to understand | |
| CN110427540A (en) | A kind of realization method and system of determining IP address responsible party | |
| CN105096023A (en) | System and method for pushing data relevant to working standard | |
| CN102104613A (en) | Technology for realizing recommendation of personalized commodities at mobile phone client | |
| CN103593478A (en) | Resource retrieval method and device of electronic component | |
| CN112100402A (en) | Power grid knowledge graph construction method and device | |
| CN102521713A (en) | Data processing device and data processing method | |
| CN109165947A (en) | Account information determines method, apparatus and server | |
| CN110019714A (en) | More intent query method, apparatus, equipment and storage medium based on historical results | |
| CN103473290B (en) | The processing method and processing device of the attribute data of point of interest | |
| CN107645583A (en) | A kind of contact sequencing method, mobile terminal and computer-readable recording medium | |
| CN107679097A (en) | A kind of distributed data processing method, system and storage medium | |
| CN110472019A (en) | Public sentiment searching method and device | |
| CN112184481B (en) | Smart power grid arrearage processing method and device combining RPA and AI | |
| CN111414364B (en) | User information generation method and device and electronic equipment | |
| CN109446217A (en) | Data method, electronic device and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |