CN109471904A - A kind of method and system for tissue label - Google Patents
A kind of method and system for tissue label Download PDFInfo
- Publication number
- CN109471904A CN109471904A CN201811297517.6A CN201811297517A CN109471904A CN 109471904 A CN109471904 A CN 109471904A CN 201811297517 A CN201811297517 A CN 201811297517A CN 109471904 A CN109471904 A CN 109471904A
- Authority
- CN
- China
- Prior art keywords
- label
- backstage
- classification
- foreground
- view
- 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.)
- Granted
Links
Abstract
The invention discloses a kind of method and systems for tissue label.A method of for tissue label, comprising: the label in selection label backstage classification forms label foreground view；Label foreground view is parsed to obtain executive plan, the executive plan includes task node；And the task node in the executive plan is executed, generate label data corresponding to the view of the label foreground.
Description
Technical field
The present invention relates to big data technology, particularly it is a kind of in big data development platform for tissue label
Method and system.
Background technique
In big data system, need to carry out labeling to data.To the definition of label, use and access is data service
Important implementation means.When scene is more and more and becomes increasingly complex, the demand to label also can be more and more, and to mark
The usage mode of label is also put forward higher requirements.Traditional label usage mode is to define label classification according to demand, then
Label is developed, label is finally applied to scene.However, traditional label usage mode can not with the rapid variation of scene
Well adapt to the development of business.Therefore, it is necessary to a kind of more flexible label usage modes.
In view of the above-mentioned problems, the prior art has taught some solutions.For example, a kind of existing label user
Formula is that label classification and specific label are defined according to the demand of business；Or exploitation label is gone according to specific logic, and
Label is online；Or the label of corresponding classification is selected in online business and is used.
However, there are still some problems in the solution of the prior art.First, from define label to use mark
During label, the life cycle of label is too long, is difficult meet the needs of business.Even second, in a data scene
Simple trial, it is also desirable to spend more time and cost to produce label.Third, it is basic that label, which is all with single classification,
Unit go using, will be unable to flexibly organize and using label in this way.
Summary of the invention
One aspect of the present invention is a kind of method for tissue label, comprising: the mark in selection label backstage classification
Label form label foreground view；Label foreground view is parsed to obtain executive plan, the executive plan includes task section
Point；And the task node in the executive plan is executed, generate label data corresponding to the view of the label foreground.
The step of label in the selection label backstage classification forms label foreground view further comprises: from the mark
It signs backstage classification, label backstage example, entity relevant to the label selected from the classification of the label backstage and forms institute
State the metamessage of label foreground view.
The metamessage includes: source-information, after being used to record the label that label foreground view is derived from
Platform classification, the selected label, label backstage example and label associated with label backstage classification are real
Body；Related information is used to record the incidence relation between at least two classification of label background class purpose；And output letter
Breath, is used to record the storage location that the label data of label foreground view is output to.
The step of parsing label foreground view is to obtain executive plan further comprises: (1) reading the member
Information, and the script file and dependence of label foreground view are generated, the dependence is and the label backstage
Dependence between the relevant task of example；(2) first task node is generated, it includes the script files；(3) number is generated
According to synchronous script file, the synchronous script file of the data describes the specification to data source write-in data；(4) the is generated
Two task nodes, it includes the synchronous script files of the data, wherein the first task node will be in the second task section
It is performed before point.
The executive plan includes at least one workflow, and the workflow has entry-into-force time, out-of-service time and scheduling
Period.
It include at least two task nodes in the workflow, at least two task node has respective scheduling
Period, dependence and code position.
The step of label in the selection label backstage classification forms label foreground view further comprises: according to difference
Each autocorrelative label entries of label backstage example identical entity arrange to form label foreground view.
The step of label in the selection label backstage classification forms label foreground view further comprises: according to difference
The different entities of each autocorrelative label entries of label backstage example arrange to form label foreground view, wherein described
There are mapping relations between different entity column.
Another aspect of the present invention discloses a kind of system for tissue label, comprising: label backstage classification module,
It is according to level organization label；Label backstage example module, it includes label backstage examples；Label foreground views module, will
At least one label that user selects from the label of the label backstage classification module is rendered as label foreground view；
Label scheme translater parses label foreground view, to obtain executive plan；And labeling task stream enforcement engine,
It executes the executive plan, generates label data corresponding with label foreground view.
Label foreground views module or the label backstage classification module can be from label backstage classifications, label
Backstage example, entity relevant to the label selected from the classification of the label backstage form label foreground view
Metamessage.
The metamessage includes: source-information, after being used to record the label that label foreground view is derived from
Platform classification, the selected label, label backstage example and label associated with label backstage classification are real
Body；Related information is used to record the incidence relation between at least two classification of label background class purpose；And output letter
Breath, is used to record the storage location that the label data of label foreground view is output to.
The label scheme translater further comprises: for reading the metamessage, and generating the label foreground view
The script file of figure and the module of dependence, the dependence are between task relevant to label backstage example
Dependence；For generating the module of first task node, it includes the script files；For generating the synchronous script text of data
The module of part, the synchronous script file of the data describe the specification to data source write-in data；And for generating second
The module of task node, it includes the synchronous script files of the data, wherein the first task node will be at described second
It is performed before business node.
The executive plan includes at least one workflow, and the workflow has entry-into-force time, out-of-service time and scheduling
Period.
It include at least two task nodes in the workflow, at least two task node has respective scheduling
Period, dependence and code position.
Label foreground views module further comprises: for according to different each autocorrelative marks of label backstage example
The identical entity of label entity arranges to form the module of label foreground view.
Label foreground views module further comprises: for according to different each autocorrelative marks of label backstage example
The different entities of label entity arrange to form the module of label foreground view, wherein existing between the different entity column
Mapping relations.
Another aspect of the present invention discloses a kind of computer-readable medium, is stored thereon with computer-readable instruction, institute
It states and is able to carry out the method for being used for tissue label when computer-readable instruction is computer-executed.
The embodiment of the present invention may be implemented label and organize automatically across classification, may be implemented between multiple label classifications into
The flexible tissue of row and use, and can satisfy diversified business demand.
In addition, different label classifications can be organized and be used automatically by the embodiment of the present invention, without re-working
New label classification.
Further, the embodiment of the present invention can shorten the life cycle of label, and can satisfy data service
Demand.
Detailed description of the invention
Fig. 1 shows the component part of the tag system of embodiment according to the present invention.
Fig. 2 shows the flow charts of the label of embodiment according to the present invention organized automatically.
Fig. 3 shows the flow chart of the label scheme translater of embodiment according to the present invention.
Fig. 4 shows the signal for the executive plan of embodiment according to the present invention generated by label scheme translater
Figure.
Fig. 5 shows the automatic schematic illustration of tissue for the label of embodiment according to the present invention arranged across classification with entity.
Fig. 6 shows the automatic schematic illustration of tissue based on the label arranged across classification with entity of embodiment according to the present invention
Executive plan schematic diagram.
Fig. 7 shows the automatic schematic illustration of tissue of the label of across the classification different entities column of embodiment according to the present invention.
Fig. 8 shows the automatic tissue signal of the label based on across classification different entities column of embodiment according to the present invention
The schematic diagram of the executive plan of figure.
Specific embodiment
The contents of the present invention are discussed now with reference to several exemplary embodiments.It should be appreciated that discussing these implementations
Example is rather than dark merely to better understood when those of ordinary skill in the art and therefore realize the contents of the present invention
Show any restrictions to the scope of the present invention.
As used herein, term " includes " and its variant will be read as meaning opening " including but not limited to "
Put formula term.Term "based" will be read as " being based at least partially on ".Term " one embodiment " and " a kind of embodiment "
It is read as " at least one embodiment ".Term " another embodiment " will be read as " at least one other embodiment ".
As used herein, term " task " can refer to any executable unit, including but not limited to process, thread, mould
Block or its set.
In the disclosure, " label (tag) " is the data structure that refers to use tricks to calculate in machine system to realize to specific
The description of object；" label data " is the content of label.
The logic of one embodiment of the invention forms as shown in Figure 1, including following each section: label foreground views module,
Label backstage classification module, label backstage example module, label entries and labeling task stream enforcement engine.The function of each section and
Embodiment is described as follows:
Label foreground views module: the different background class purpose tag combinations that user is selected are with a kind of unification
Label foreground view is presented.
Label backstage classification module: this module tissue label in a manner of rank (classification).Label backstage classification is one
The organizational form of kind label, carries out tissue to label according to the rank (such as one, two, three) of label.One label backstage
Class would generally have multiple labels now.Label backstage classification stores in the database in the form of metadata.
Label backstage example module: it includes label backstage example.Label backstage example is the mark with background class now
Corresponding data are signed, tissue can be carried out in the form of the tables of data of relevant database.One label backstage example can be unique
Ground corresponds to a label backstage classification, and a label backstage classification may embody in the example of multiple label backstages.
Label entries: label entries indicate object, such as people, company, country, cell described in a label etc..
Label entries include that one or more entities arrange (or field), for example the entity column of " people " this label entries may include postal
Case, identification card number, cell-phone number etc..
Labeling task stream enforcement engine: the task in this engine scheduling, execution labeling task stream,
To generate label data for label foreground view (label).
In an embodiment of the invention, the classification without pre-defined label foreground, can be realized across classification label
Automatic tissue.As shown in Fig. 2, the process of the embodiment includes the following steps:
(a) label is selected from " label backstage classification ", forms label foreground view (empty Tab View, no number of views
According to)；
(b) label foreground view is parsed by a label scheme translater, obtains an executive plan, the execution meter
Drawing is the workflow comprising multiple tasks node；
(c) labeling task stream enforcement engine is dispatched according to executive plan, executes the task node in the works, generate mark
The label data for the label that label foreground view is included.
In an embodiment of the invention, the nucleus module of label scheme translater is executive plan transfer function.Referring to
Fig. 3, the workflow of label scheme translater are as follows: the metamessage of the label foreground view in reading database, by the inclusion of spy
Determine the executive plan transfer function of programmed logic and obtains executive plan.Executive plan will be submitted to Workflow execution engine simultaneously
By Workflow execution engine scheduling, execute executive plan.
The metamessage to label foreground view, executive plan transfer function, executive plan are described in detail below.
(1) metamessage of label foreground view
The metamessage of label foreground view is according to specific requirements, for describing such as source of label foreground view, depositing
The data of the attributes such as storage space sets, logical relation.Metamessage can be by label foreground views module or the label backstage classification mould
Block generates.Metamessage is alternatively referred to as metadata, for example, its can recorde label backstage classification that label foreground view is derived from and
Label backstage example, the relationship of relevant label entries and label foreground view data, such as following four information: label
Backstage classification (category), label backstage example (category_instance), entity (entity), storage
(storage)。
According to one embodiment of present invention, before label backstage classification, label backstage example, label entries formation label
The metamessage of json format is described as follows based on the process of platform view:
Entire metamessage is divided into three parts, respectively sourceList, relation, outputList.Wherein source arranges
Table (sourceList) (source-information) has recorded the label backstage category information, selected in the source of current label foreground view
Label field information, label backstage example information and the associated entity information of label backstage classification；Incidence relation
(relation) (related information) describes the incidence relation between at least two related classifications in the classification of label backstage；Output
The data that list (outputList) (output information) describes label foreground view exported after storage location.
The process of above-mentioned data protocol description is as follows:
1. label foreground view derives from two label backstage classifications, classification id is 34,37 respectively；
2. " c_id ", " is_car ", " is_house ", " is_ of the label background class that reservation id is 34 respectively now
These three marks of child " the label background class that this four labels and id are 37 is now " card ", " location ", " sex "
Label, and using them as the label under the view of label foreground；
3. label backstage classification 34 is associated with the entity that id is 17, c_id is associated with the card_id in the entity；Label
Backstage classification 37 is associated with 17 this entity, and card is associated with the card_id in the entity；
4. two label backstage classifications are by instructing inner_join to be associated, the id difference of the example of corresponding classification
For 138 and 168；
5. label data relevant to label foreground view is output on the memory that id that type is hive is 276,
Output mode is overwrite, is output on the subregion of ds=20180903.
(2) executive plan
Executive plan is a data protocol with xml language description.According to one embodiment of present invention, executive plan
Data protocol it is as follows:
With reference to Fig. 4, to being explained as follows for each section sentence of above-mentioned executive plan:
It include a flows in 1.Project；
It include multiple flow in 2.flows, flow has entry-into-force time (start_effect_date), out-of-service time
(end_effect_date), the attributes such as dispatching cycle (schedule_expression)；
It include multiple node in 3.flow, it includes dispatching cycle in node that node, which is the node specifically to be executed,
(schedule_expression), the information such as father node Dependency Specification (parents), specific code position (file_path).
According to above-mentioned data protocol, meaning expressed by the executive plan are as follows: node c1 and c2 are node tag_sql_
The father node of process, node tag_sql_process are the father nodes of node output；C1 and c2 is relevant two realities
Two tasks corresponding to example, have been completed；Node tag_sql_process is first completed, then completes node output again.
(3) executive plan transfer function
The executive plan transfer function is using the metamessage in the view of label foreground as input, by the fortune of programmed logic
Row, to export the executive plan of xml format.Referring to above example, the following institute of the work step of executive plan transfer function
Show:
(1) metamessage for reading json format generates label according to the relevant information in relation and sourceList
Foreground view sql script file and dependence (such as precedent interior joint tag_sql_process to node c1 and c2 according to
The relationship of relying)；
(2) the node tag_sql_process that type is hive_sql is generated, it is (right to generate node tag_sql_proces
Node c1 and c2) dependence, the inside include step (1) in generate sql script file, father node derive from step
(1)；
(3) information of its relevant data source is obtained according to the storageId of outputList in metamessage, generates data
Synchronous script file, this file describe the specification to data source write-in data；
(4) the data synchronization node output that type is datax is generated, the inside includes that the data of generation in step (3) are same
Script file is walked, father node is the node tag_sql_process generated in step (2)；
(5) according to step (1) to (4), the executive plan of xml format is generated.
In an embodiment of the invention, label scheme translater further include: for reading the metamessage, and generate institute
The script file of label foreground view and the module of dependence are stated, the dependence is related to label backstage example
Task between dependence；For generating the module of first task node, it includes the script files；For generating number
According to the module of synchronous script file, the synchronous script file of the data describes the specification to data source write-in data；And
For generating the module of the second task node, it includes the synchronous script files of the data, wherein the first task node will
It is performed before second task node.
It below will be to two kinds of automatic organizational forms of label included in foregoing translation device and labeling task stream enforcement engine
It is illustrated: the automatic tissue arranged across classification with entity, and the automatic tissue of across classification different entities column.Detailed description is such as
Under:
The automatic tissue arranged across classification with entity
It is a kind of illustratively to include the following steps: across classification with the method organized automatically that entity arranges
(1) it goes to select different labels from different label backstage examples (it can uniquely correspond to a label backstage classification)
Construct new foreground Tab View: as shown in figure 5, selecting identification card number from label backstage example 1 based on " people " this entity
Code, car owners, You Fang family label select ID card No., working place, gender label from label backstage example 2, finally
Constitute ID card No., car owners, You Fang family, gender, this new foreground Tab View organized of working place；
(2) label backstage classification corresponding to the example of different labels backstage is all the same reality for being associated with the same entity
Body column: as label backstage classification 1, label backstage classification 2 are associated with the card_id of this entity of people；
(3) different labels backstage example can inquire and the associated label task of the example: such as inquire label backstage
Example 1 is associated with label task 1, and label backstage example 2 is associated with label task 2；
(4) according to the metamessage of label foreground view, the execution of label foreground view is generated by label scheme translater
Plan, and executed by labeling task stream enforcement engine.
For the scene that same entity arranges, the executive plan of new label foreground view and its label will be generated.Such as Fig. 6 institute
Showing, label foreground view can be translated into the executive plan of a label comprising multiple tasks node by label scheme translater,
The executive plan information of final label is as follows:
(a) metamessage of the label foreground view generated according to above step (1) is as follows:
(b) read sourceList information, according to label backstage example 1 and example 2 (category_instance_id:
138 and category_instance_id:168) to inquire corresponding label task be c1 and c2 respectively.
(c) according to relation and sourceList information, the corresponding sql script of label foreground view, content are generated are as follows:
create table front_tag_c1_c2_1as select c1.card_id,c1.car,c1.house,c2.sex,
C2.work_place from c1, c2where c1.card_id=c2.card_id, corresponding entitled front_tag_
C1_c2_1.sql relies on two tasks of c1 and c2
(d) the synchronous script datax_front_tag_c1_ of the label data for label foreground view being generated according to ouputList
C2_1.json relies on front_tag_c1_c2_1 task, content are as follows:
(e) the label executive plan generated according to the information of step (b), (c), (d) is as follows:
(f) executive plan is transferred to labeling task stream enforcement engine and the executive plan is executed with dynamic scheduling.
In an embodiment of the present invention, label foreground views module further comprises: for according to different labels
The identical entity of each autocorrelative label entries of backstage example arranges to form the module of label foreground view.
The automatic tissue of across classification different entities column
The area of the scene organized automatically and the scene organized automatically arranged across classification with entity of across classification different entities column
It is not: first, the entity column of entity are different；Second, Workflow execution engine has corresponding entity column mapping (mapping)
Task；Third, label executive plan is different.
The automatic tissue of across classification different entities column according to an embodiment of the invention is as follows:
(1) it goes to select different labels from different label backstage examples (it can uniquely correspond to a label backstage classification)
Construct new foreground Tab View: as shown in fig. 7, selecting identification card number from label backstage example 1 based on " people " this entity
Code, car owners, You Fang family label select mailbox, working place, gender label from label backstage example 2, finally constitute body
Part card number, mailbox, car owners, You Fang family, gender, this new foreground Tab View organized of working place.
(2) label backstage classification corresponding to the example of different labels backstage is all to be associated with the same entity, but be associated with
It is arranged to different entities: as the card_id, email of this entity of people is respectively associated in label backstage classification 1, label backstage classification 2
Two entity column.
(3) different labels backstage example can inquire and the associated label task of the example: such as inquire label backstage
Example 1 is associated with label task 1, and label backstage example 2 is associated with label task 2；The entity column that entity associated can be inquired reflect
Penetrate (mapping) task.
(4) the execution meter of Tab View is generated by label scheme translater tissue according to the metamessage of label foreground view
It draws, and is executed by labeling task stream enforcement engine.
For the scene of different entities column, new label foreground view and its executive plan will be generated.As shown in figure 8, mark
Label foreground view can be translated into the executive plan comprising multiple tasks node by label plan translater, and final label is held
Row plan information is as follows:
(a) the label foreground view metamessage generated according to above step (1) is as follows:
(b) read sourceList information, according to label backstage example 1 and example 2 (category_instance_id:
138 and category_instance_id:169) to inquire corresponding label task be c1, c3 respectively；According to entity
EntityId information, obtaining associated entity column mapping (mapping) task is c4.
(c) according to relation and sourceList information, the corresponding sql script of label foreground view, content are generated are as follows:
create table front_tag_d_c1_c3_1as select c1.card_id,c3.email,c1.car,
C1.house, c3.sex, c3.work_place from c1, c3, c4where c1.card_id=c4.card_id and
C2.email=c4.email, corresponding entitled front_tag_d_c1_c3_1.sql rely on c1, c3, c4 tri- and appoint
Business.
(d) the synchronous script datax_front_tag_c1_ of the label data for label foreground view being generated according to ouputList
C3_1.json relies on front_tag_c1_c3_1 task, content are as follows:
(e) executive plan generated according to the information of step (b), (c), (d) is as follows:
(f) executive plan is transferred to labeling task stream enforcement engine should with dynamic scheduling execution
Executive plan.
In an embodiment of the present invention, label foreground views module further comprises: for according to different labels
The different entities of each autocorrelative label entries of backstage example arrange to form the module of label foreground view, wherein described
There are mapping relations between different entity column.
Following purpose can be reached by implementing the embodiment of the present invention: first, it is automatic to provide a kind of label across classification
Change the system of tissue；Second, the combination of the own screening across classification label may be implemented in the embodiment of the present invention, executive plan is supported
Automatically generate, and quickly support the demand to new data scene；Third, passing through label scheme translater and labeling task
Enforcement engine is flowed to complete whole automatic tissue and execution process.
As needed, the system of various embodiments of the present invention, method and apparatus can be implemented as pure software (such as with
Java and SQL is come the software program write), also can according to need be embodied as pure hardware (such as dedicated asic chip or
Fpga chip), be also implemented as combining software and hardware system (such as be stored with fixed code fixer system or
System with general-purpose storage and processor).
Another aspect of the present invention is a kind of computer-readable medium, is stored thereon with computer-readable instruction, described
Instruct the method for being performed implementable various embodiments of the present invention.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to the disclosed embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The range of claimed theme only by
The attached claims are defined.
Claims (17)
1. a kind of method for tissue label, comprising:
The label in the classification of label backstage is selected to form label foreground view；
Label foreground view is parsed to obtain executive plan, the executive plan includes task node；And
The task node in the executive plan is executed, label data corresponding to the view of the label foreground is generated.
2. according to the method described in claim 1, wherein, the label in the selection label backstage classification forms label foreground view
The step of figure, further comprises:
From label backstage classification, label backstage example, related to the label selected from the classification of the label backstage
Entity form the metamessage of label foreground view.
3. according to the method described in claim 2, wherein, the metamessage includes:
Source-information is used to record label backstage classification that label foreground view is derived from, selected described
Label, label backstage example and label entries associated with label backstage classification；
Related information is used to record the incidence relation between at least two classification of label background class purpose；With
Output information is used to record the storage location that the label data of label foreground view is output to.
4. according to the method described in claim 2, wherein, the parsing label foreground view is to obtain the step of executive plan
Suddenly further comprise:
(1) metamessage is read, and generates the script file and dependence of label foreground view, the dependence
It is the dependence between task relevant to label backstage example；
(2) first task node is generated, it includes the script files；
(3) the synchronous script file of data is generated, the synchronous script file of the data describes the rule to data source write-in data
Model；With
(4) the second task node is generated, it includes the synchronous script files of the data, wherein the first task node will be in institute
It is performed before stating the second task node.
5. according to the method described in claim 1, wherein, the executive plan includes at least one workflow, the workflow
With entry-into-force time, out-of-service time and dispatching cycle.
6. include at least two task nodes in the workflow according to the method described in claim 5, wherein, it is described extremely
Few two task nodes have respective dispatching cycle, dependence and code position.
7. according to the method described in claim 2, wherein, the label in the selection label backstage classification forms label foreground view
The step of figure, further comprises:
It is arranged according to the identical entity of different each autocorrelative label entries of label backstage example to form the label foreground
View.
8. according to the method described in claim 2, wherein, the label in the selection label backstage classification forms label foreground view
The step of figure, further comprises:
The label foreground is formed according to the different entity column of different each autocorrelative label entries of label backstage example
View, wherein there are mapping relations between the different entity column.
9. a kind of system for tissue label, comprising:
Label backstage classification module, according to level organization label；
Label backstage example module, it includes label backstage examples；
Label foreground views module, at least one that user is selected from the label of the label backstage classification module
A label is rendered as label foreground view；
Label scheme translater parses label foreground view, to obtain executive plan；And
Labeling task stream enforcement engine executes the executive plan, generates number of tags corresponding with label foreground view
According to.
10. system according to claim 9, wherein label foreground views module or the label backstage classification mould
Block can from label backstage classification, label backstage example, with the label phase that is selected from the classification of the label backstage
The entity of pass forms the metamessage of label foreground view.
11. system according to claim 10, wherein the metamessage includes:
Source-information is used to record label backstage classification that label foreground view is derived from, selected described
Label, label backstage example and label entries associated with label backstage classification；
Related information is used to record the incidence relation between at least two classification of label background class purpose；With
Output information is used to record the storage location that the label data of label foreground view is output to.
12. system according to claim 10, wherein the label scheme translater further comprises:
For reading the metamessage, and the script file of label foreground view and the module of dependence are generated, it is described
Dependence is the dependence between task relevant to label backstage example；
For generating the module of first task node, it includes the script files；
For generating the module of the synchronous script file of data, the synchronous script file of the data, which is described to a data source, is written number
According to specification；With
For generating the module of the second task node, it includes the synchronous script files of the data, wherein the first task section
Point will be performed before second task node.
13. system according to claim 9, wherein the executive plan includes at least one workflow, the workflow
With entry-into-force time, out-of-service time and dispatching cycle.
14. system according to claim 13, wherein it include at least two task nodes in the workflow, it is described
At least two task nodes have respective dispatching cycle, dependence and code position.
15. system according to claim 10, wherein label foreground views module further comprises:
The label is formed for arranging according to the identical entity of different each autocorrelative label entries of label backstage example
The module of foreground view.
16. according to the method described in claim 10, wherein, label foreground views module further comprises:
For forming the label according to the different entity column of different each autocorrelative label entries of label backstage example
The module of foreground view, wherein there are mapping relations between the different entity column.
17. a kind of computer-readable medium is stored thereon with computer-readable instruction, the computer-readable instruction is by computer
The method as described in one of any in claim 1-8 is able to carry out when execution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811297517.6A CN109471904B (en) | 2018-11-01 | 2018-11-01 | Method and system for organizing labels |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811297517.6A CN109471904B (en) | 2018-11-01 | 2018-11-01 | Method and system for organizing labels |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109471904A true CN109471904A (en) | 2019-03-15 |
| CN109471904B CN109471904B (en) | 2021-07-20 |
Family
ID=65666786
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811297517.6A Active CN109471904B (en) | 2018-11-01 | 2018-11-01 | Method and system for organizing labels |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109471904B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110110224A (en) * | 2019-04-16 | 2019-08-09 | 中科金联（北京）科技有限公司 | A kind of data migration method and system based on the multiple label of data |
| CN111787084A (en) * | 2020-06-23 | 2020-10-16 | 杭州数澜科技有限公司 | Method and device for selecting object |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699393A (en) * | 2009-10-09 | 2010-04-28 | 中国电子科技集团公司第二十八研究所 | Intelligent software interface dynamic generation method facing network |
| CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技（深圳）有限公司 | Recommendation list generation method, device, media server, client and method |
| CN103164476A (en) * | 2011-12-16 | 2013-06-19 | 中国移动通信集团公司 | Execution method and execution device of applying metadata to describe files in business intelligence (BI) |
| CN105404509A (en) * | 2015-11-11 | 2016-03-16 | 神州数码国信信息技术（苏州）有限公司 | ExtJS UI based visual code generation method |
| CN107872589A (en) * | 2016-09-26 | 2018-04-03 | 中国电信股份有限公司 | User characteristics display methods and system |
| CN108629608A (en) * | 2017-03-22 | 2018-10-09 | 腾讯科技（深圳）有限公司 | User data processing method and processing device |
-
2018
- 2018-11-01 CN CN201811297517.6A patent/CN109471904B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699393A (en) * | 2009-10-09 | 2010-04-28 | 中国电子科技集团公司第二十八研究所 | Intelligent software interface dynamic generation method facing network |
| CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技（深圳）有限公司 | Recommendation list generation method, device, media server, client and method |
| CN103164476A (en) * | 2011-12-16 | 2013-06-19 | 中国移动通信集团公司 | Execution method and execution device of applying metadata to describe files in business intelligence (BI) |
| CN105404509A (en) * | 2015-11-11 | 2016-03-16 | 神州数码国信信息技术（苏州）有限公司 | ExtJS UI based visual code generation method |
| CN107872589A (en) * | 2016-09-26 | 2018-04-03 | 中国电信股份有限公司 | User characteristics display methods and system |
| CN108629608A (en) * | 2017-03-22 | 2018-10-09 | 腾讯科技（深圳）有限公司 | User data processing method and processing device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110110224A (en) * | 2019-04-16 | 2019-08-09 | 中科金联（北京）科技有限公司 | A kind of data migration method and system based on the multiple label of data |
| CN111787084A (en) * | 2020-06-23 | 2020-10-16 | 杭州数澜科技有限公司 | Method and device for selecting object |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109471904B (en) | 2021-07-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fleischmann et al. | Whom to talk to? A stakeholder perspective on business process development | |
| US8117594B2 (en) | Graphical editor with incremental development | |
| CN106507686B (en) | Method and system for designing software architecture of complex cyber-physical systems in different technical fields with its various software artifacts | |
| US8490049B2 (en) | Faceted, tag-based approach for the design and composition of components and applications in component-based systems | |
| Vernon | Domain-driven design distilled | |
| Buchmann et al. | Modelling mobile app requirements for semantic traceability | |
| Wachter-Boettcher | Content everywhere: Strategy and structure for future-ready content | |
| Theunissen et al. | A mapping study on documentation in Continuous Software Development | |
| CN109815242B (en) | Data processing method and system | |
| US11907860B2 (en) | Targeted data acquisition for model training | |
| CN108536718A (en) | A kind of method and system for the IT application in management realized based on input and output semantization | |
| CN109471904A (en) | A kind of method and system for tissue label | |
| CN114594927A (en) | Low code development method, device, system, server and storage medium | |
| Zikra et al. | Bringing enterprise modeling closer to model-driven development | |
| Gómez et al. | A framework for variable content document generation with multiple actors | |
| Roubi et al. | A model driven approach to generate graphical user interfaces for Rich Internet Applications using Interaction Flow Modeling Language | |
| Gómez et al. | An approach to the co-creation of models and metamodels in Enterprise Architecture Projects. | |
| US8555240B2 (en) | Describing formal end-user requirements in information processing systems using a faceted, tag-based model | |
| Azad et al. | Using signature matrix to analyze conflicting frames during the IS implementation process | |
| Schuhbert et al. | Deep and organizational learning as innovation catalyzer in digital business ecosystems–a scenario analysis on the tourism destination Berlin | |
| CN109947425A (en) | A kind of the dealing with information flow method and device | |
| Bode et al. | Comprehensive model integration for dependency identification with EMFTrace | |
| Martin | Overview of the revised standard on architecture description–ISO/IEC 42010 | |
| Riley et al. | Enterprise content management with Microsoft SharePoint | |
| JP2008140190A (en) | Program, apparatus and method for automatically generating screen configurations |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |