CN109800278A - Data assets map application method, device, computer equipment and storage medium - Google Patents
Data assets map application method, device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of data assets map application method, device, computer equipment and storage mediums.The described method includes: obtaining data assets map and assignment instructions；According to the assignment instructions, the application strategy to the data assets map is obtained；According to the application strategy, executing inquiry operation, relationship discovery operation or event to the data assets map influences operation, obtains the implementing result of the assignment instructions.It can be for the fast automatic prediction of data quality problem using this method.
Description
Technical field
This application involves big data technical fields, more particularly to a kind of data assets map application method, device, calculating
Machine equipment and storage medium.
Background technique
As the data assets that large data center accesses are growing, data assets and its relationship gradually become complicated.It is right
For the exploitation, management and operation maintenance personnel of data center, quickly understands, obtains data assets entity information, relationship of assets, money
The mapping relations for producing entity and underlying platform become particularly difficult, and then assessment to the quality of data and verification cause very big barrier
Hinder.
Conventional method generally passes through metadata management method and carries out system acquisition to data assets information and manually record at present
Enter, so that user be allowed to will be seen that the description informations of data assets.The quality of data, which is verified, then generally utilizes system metadata, takes
It lays down a regulation and check progress, form quality of data report by thing and carrying out assessment to the quality of data afterwards, and with people
The mode that work verifies data traces to the source to data quality problem.
However, conventional method generally only can just find the problem after problem occurs, between artificial enquiry and trace back data
Relationship and the entity that quality problems occur, efficiency is lower and has biggish hysteresis quality.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of data assets map application method, device, calculating
Machine equipment and storage medium.
A kind of data assets map application method, which comprises
Obtain data assets map and assignment instructions；
According to the assignment instructions, the application strategy to the data assets map is obtained；
According to the application strategy, inquiry operation, relationship discovery operation or event shadow are executed to the data assets map
Operation is rung, the implementing result of the assignment instructions is obtained.
It is described according to the application strategy in one of the embodiments, inquiry behaviour is executed to the data assets map
Make, relationship discovery operation or event influence operation, the implementing result for obtaining the assignment instructions include:
According to the application strategy, the corresponding data assets entity of the inquiry operation is obtained；
In the data assets map, the information of the data assets entity is inquired.
It is described in the data assets map in one of the embodiments, inquire the letter of the data assets entity
Breath includes:
Entity description information (the side of entity link of the data assets entity is inquired in the data assets map
Formula)；And/or
The relationship of the data assets entity and other entities is inquired in the data assets map.
It is described according to the application strategy in one of the embodiments, inquiry behaviour is executed to the data assets map
Make, relationship discovery operation or event influence operation, the implementing result for obtaining the assignment instructions include:
According to the application strategy, obtains the relationship discovery and operate corresponding data assets entity；
In the data assets map, the direct relation information and/or direct relation of the data assets entity are found
Information.
It is described according to the application strategy in one of the embodiments, inquiry behaviour is executed to the data assets map
Make, relationship discovery operation or event influence operation, the implementing result for obtaining the assignment instructions include:
According to the application strategy, the event information between entity and entity is obtained in the data assets map；Prison
Whether abnormal control the event, when the event is abnormal, then
According to the direct relation and/or implication relation and the event information between the entity, corresponding thing is obtained
Part influences information.
It is described according to the application strategy in one of the embodiments, obtain the event information between entity and entity
Include:
Operation is executed to the data assets map by figure computational algorithm, obtains the anomalous variation of the entity.
In one of the embodiments, the method also includes:
According to the anomalous variation, trace to the source in the data assets map；
Obtain the starting point of anomalous variation.
In one of the embodiments, the method also includes:
According to the relationship between the anomalous variation and entity, early warning operation is diffused to the data assets map；
It is operated according to the diffusion early warning, exception will be generated because of the anomalous variation in the data assets map
Entity carry out early warning.
In one of the embodiments, the method also includes:
Obtain data assets information；
The data assets information is subjected to data assets model conversion, obtains data assets map.
The data assets information that obtains includes: the external information and internal system imported in one of the embodiments,
The information of acquisition；
The information imported outside will be described and the information of internal system acquisition are integrated, and the data assets are obtained
Information.
It is described in one of the embodiments, that the data assets information is subjected to data assets model conversion, it is counted
It include: the data assets information according to assets map include relation information and description information；
The relation information is stored in the form of triple to chart database；
The format information is directly stored in the chart database.
Described device includes: in one of the embodiments,
Data acquisition module, for obtaining data assets map and assignment instructions；
Application strategy obtains module, for obtaining the application plan to the data assets map according to the assignment instructions
Slightly；
Using result-generation module, for according to the application strategy, to the data assets map execute inquiry operation,
Relationship discovery operation or event influence operation, obtain the implementing result of the assignment instructions.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
The step of device realizes any of the above embodiment the method when executing the computer program.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The step of any of the above embodiment the method is realized when row.
Above-mentioned data assets map application method, device, computer equipment and storage medium, by assignment instructions to data
Assets map, which carries out inquiry application, relationship discovery application or event, influences application, realizes for the quick of data quality problem
Automatic prediction.
Detailed description of the invention
Fig. 1 is the applied environment figure of data assets map application method in one embodiment；
Fig. 2 is the flow diagram of data assets map application method in one embodiment；
Fig. 3 is data assets entity relationship schematic diagram in one embodiment；
Fig. 4 is in another embodiment by entity transition schematic diagram extremely；
Fig. 5 is that event influences simulation schematic diagram in one embodiment；
Fig. 6 is that event starting point is traced to the source schematic diagram in one embodiment；
Fig. 7 is the structural block diagram of data assets map use device in one embodiment；
Fig. 8 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Data assets map application method provided by the present application, can be applied in application environment as shown in Figure 1.Its
In, terminal 102 is communicated with server 103 by network by network.Wherein, terminal 102 can be, but not limited to be various
Personal computer, laptop, smart phone, tablet computer and portable wearable device, server 103 can be with independently
The server cluster of server either multiple servers composition realize.In one embodiment, server 103 is from figure number
According to data assets map is obtained in library 104, assignment instructions are obtained from terminal 102.Further, server 103 is according to task
Instruction, obtains the application strategy to data assets map, so that server 103 is inquired by data assets map, relationship
It was found that or event influence operation, obtain the implementing result of assignment instructions.
In one embodiment, it as shown in Fig. 2, providing a kind of data assets map application method, applies in this way
It is illustrated for application environment in Fig. 1, comprising the following steps:
Step S210 obtains data assets map and assignment instructions.Wherein the data assets map, which refers to, provides data
Produce the diagram data that the relationship between entity and data assets entity is showed and stored by way of knowledge mapping.Data assets
Entity specifically refers to the metadata object of carrying data information and attribute in data assets map.Further, data assets
Entity corresponds to respective description information.Wherein, assignment instructions refer to data assets map carry out using command information, include
Target information.
Step S220 obtains the application strategy to the data assets map according to the assignment instructions.Wherein, it applies
Strategy refers to the order that concrete operations are carried out for data assets map generated according to assignment instructions.It is to be appreciated that in office
It is engaged in execution process instruction, assignment instructions is embodied, it is detail, it obtains can be realized the corresponding execution mesh of assignment instructions
Target concrete application process.
Step S230 executes inquiry operation, relationship discovery operation to the data assets map according to the application strategy
Or event influences operation, obtains the implementing result of the assignment instructions.Specifically, inquiry operation refers in data assets map
Inquire specific data assets entity.Specifically, relationship discovery operation refers to the different numbers found in data assets map
According to the connection between asset entity.Wherein, event, which influences to operate, refers to that event early warning has occurred for basis in data assets map
The event will be on influence caused by the relationship between other data assets entities or other data assets entities.Wherein, thing
Part refers to data assets entity and the development and change information that data assets entity relationship occurs.It is to be appreciated that data
Assets map includes: the relationship and event between data assets entity, data assets entity.
Above-mentioned data assets map application method carries out inquiry application to data assets map by assignment instructions, relationship is sent out
Now application or event influence application, realize the fast automatic prediction for data quality problem.
In one embodiment, described according to the application strategy, inquiry operation is executed to the data assets map, is closed
System's discovery operation or event influence operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, the corresponding data assets entity of the inquiry operation is obtained；
In the data assets map, the information of the corresponding data assets entity is inquired.In the present embodiment, institute
Stating application strategy includes inquiry operation instruction and corresponding data assets entity relevant information.
It is described in the data assets map in one of the embodiments, it is real to inquire the corresponding data assets
The information of body includes: that the entity description information of the corresponding data assets entity is inquired in the data assets map.It can
Selection of land, the information of the corresponding data assets entity can also refer to storage location etc. in corresponding data assets entity and believes
Breath.Wherein, description information refers to the characteristic of of data assets entity itself, such as title, data volume, data source, data wound
Build time, data modification time etc..
As a kind of specific real-time mode, the specific number in a kind of data assets map is provided also referring to table 1
According to asset entity.It is divided according to data, the data assets entity which includes has model, entity table, field, journey
Sequence, interface, data source, data service, data standard, application, index, label, algorithm, key etc..It is divided according to resource, the number
It include tenant, platform, network, host etc. according to assets map.It is divided according to personnel, data assets map user, personnel, the group
Team, department etc..
Table 1
In one embodiment, described according to the application strategy, inquiry operation is executed to the data assets map, is closed
System's discovery operation or event influence operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, obtains the relationship discovery and operate corresponding data assets entity.Optionally, in relationship
It was found that operation is used, application strategy can correspond to a data asset entity set.
In the data assets map, the direct relation information and/or implication relation of the data assets entity are found
Information.Wherein, comprising finding variety classes in corresponding data assets entity and data assets map in relationship discovery operation
Connection, or the corresponding data assets entity of discovery contacts with congener in data assets map.Wherein, implication relation refers to
Relationship between entity and its entity not being directly linked.Such as there are relationship, entity B and entity C to exist for entity A and entity B
Relationship, then there are implication relations with entity C for entity A.
As a kind of specific embodiment, also referring to table 2:
Table 2
Wherein, index, label, application, personnel, team, tenant, platform are data assets entity.A reality wherein
It applies in example, the relationship between index and index refers to the relationship between logical indexes and indicator atom.In one of the embodiments,
The assembled report of index is derived from using the relationship between index.In one of the embodiments, using between label
Relationship refers to label application relationship.
In one embodiment, described according to the application strategy, inquiry operation is executed to the data assets map, is closed
System's discovery operation or event influence operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, the event information between entity and entity is obtained in the data assets map.Make
For a kind of specific embodiment, table 3 is referred to:
Table 3
As shown in Table 3, data, model, entity table, field, program and interface are entity.One embodiment wherein
In, the event that model generates is the newly-built, online or offline of data assets map.
In another embodiment, the event that entity table generates is the data distribution of entity table, the newly-built of table, data filling
Or the authorization of table.In yet another embodiment, the event that field generates are as follows: the standard of field is newly-built or changes.In another reality
It applies in example, the event that program generates are as follows: program is run, program is online, offline or modification.In a further embodiment, interface produces
The raw time are as follows: interface storage, interface export or data distribution.
Whether abnormal the event is monitored, when the event is abnormal then according to the direct relation between the entity
And/or implication relation and the event information, obtaining corresponding event influences information.Specifically, when event is abnormal, then
It may result in data quality problem.It is to be appreciated that will affect other realities of associated system when a certain event is abnormal
The event that body is carried out also faces data quality problem so as to cause other entities.Wherein, event influence information refers to, generates
Abnormal event also faces the information of data quality problem by will lead to other events or entity therewith.It influences to believe by event
Breath, can give warning in advance, to take workaround, will effectively be controlled thing by the entity or event that the event of being abnormal is influenced
The loss of part exception bring.
Judge event with the presence or absence of abnormal by the incidence relation between entity in one of the embodiments,.Such as Fig. 3 institute
Show, index B and Table A there are direct incidence relation, with index A C D exist and be indirectly positively correlated incidence relation.In certain a period of time
Carve, index B and its index A C D situation of change be not inconsistent, then can determine whether the index exist extremely.
In one embodiment, described according to the application strategy, the event information obtained between entity and entity includes:
Operation is executed to the data assets map by figure computational algorithm, obtains the anomalous variation of the entity.
In another embodiment, according to the variation of data assets knowledge mapping in a period of time, group is calculated by figure
It was found that algorithm, calculates relationship of assets and the abnormal of population characteristic changes.As shown in figure 4, between data assets entity in state one
It is associated two-by-two, and the long-term incidence relation, is defined as a data asset groups body.As shown in state two, index 1 occurs
Apparent variation, and no longer there is incidence relation between other assets entity, then exception has occurred in judge index 1.
In one embodiment, the method also includes:
According to the relationship between the anomalous variation and entity, early warning operation is diffused to the data assets map；
It is operated according to the diffusion early warning, exception will be generated because of the anomalous variation in the data assets map
Entity carry out early warning.
As a kind of specific embodiment, please refer to fig. 5, system 501 bore in source is abnormal, system is had recorded
The change events.By conducting and extending the influence of event change generation, the data assets that the event may cause are simulated
Quality problems, forming event influences map.The event influences in map, and source system bore, which is abnormal, will will lead to and source system
501 have the data volume of the interface 502 of direct relation to increase changes with the technology bore of field 503.Further, with source system
501 have the computational load of the server 504 of implication relation to increase, and the handling capacity of network 505 increases.In turn, program 508 will produce
Raw delay early warning, program 509 will generate delay early warning.Storage 506 generates part of nodes early warning.In turn, model 510 will produce
Raw shortage of data early warning, model 511 will generate field quality pre-alert.Providing event change can lead to its data assets entity
Variation, thus in advance obtain data assets quality pre-alert.Further, index 513 generates delay early warning, index 514 generates
Mistake early warning, index 515 generate wrong early warning, generate wrong early warning using 516, label 517 generates wrong early warning.Then, it answers
Delay early warning is generated with C, generates wrong early warning using B.
In one embodiment, the method also includes: according to the anomalous variation, trace back in the data assets map
Source；Obtain the starting point of anomalous variation.Wherein, it traces to the source and refers to the process of that searching generates anomalous variation reason.By quickly searching
The starting point of anomalous variation, being capable of Quick stop exception.
As a kind of specific embodiment, referring to Figure 6 together, there is abnormal, automatically retrieval to its correlation in index 301
Table 302 and table 303, and table 302 and table 303 are checked, it is thus found that table 303 exist it is abnormal.Then, discovery connects
Mouth 304 and its interface storage 306 exist abnormal.By retrieving entity relevant to interface storage, there are in network 307 for discovery
It is disconnected.Optionally, when network 307, when relationship is not present with other entities, the process of tracing to the source terminates, and determines that network 307 is anomalous variation
Starting point.When network 307, there are relationships with other entities, but on inspection, other entities are without exception, also may determine that
Network 307 is the starting point of anomalous variation.
In one embodiment, the method also includes: obtain data assets information；The data assets information is carried out
Data assets model conversion obtains data assets map.Wherein, the data assets information that obtains includes: the external letter imported
The information of breath and internal system acquisition；The information imported outside will be described and the information of internal system acquisition are integrated,
Obtain the data assets information.Specifically, the external information imported includes the information of system loading and the letter of manual entry
Breath.
Wherein, internal system acquisition refers to the collection rule by agreement, is timed to existing knowledge mapping information
Acquisition is to obtain newest data information.Collection process should support the extraction, conversion and loading of incremental data as far as possible.System loading
Refer to the data assets information that external system is required by the interface rules of agreement, regular system for filling.Manual entry refers to people
Format of the work by agreement, the irregular corresponding data assets information of typing in system.
In one embodiment, described that the data assets information is subjected to data assets model conversion, obtain data money
It includes relation information and description information that production map, which includes: the data assets information,；By the relation information with triple
Form is stored to chart database；The format information is directly stored in the chart database.In another embodiment, it is arranged
Mechanism of Conflict Among, according to the Mechanism of Conflict Among handle data assets entity between Conflict solving, attribute fusion and
Relationship merges.
It should be understood that although each step in the flow chart of Fig. 2 is successively shown according to the instruction of arrow, this
A little steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these steps
It executes there is no the limitation of stringent sequence, these steps can execute in other order.Moreover, at least part in Fig. 2
Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps
It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out,
But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in fig. 7, providing a kind of data assets map use device, comprising: described device
Include:
Data acquisition module 701, for obtaining data assets map and assignment instructions；
Application strategy obtains module 702, for obtaining the application to the data assets map according to the assignment instructions
Strategy；
Using result-generation module 703, for executing inquiry behaviour to the data assets map according to the application strategy
Work, relationship discovery operation or event influence operation, obtain the implementing result of the assignment instructions.
Specific restriction about data assets map use device may refer to use above for data assets map
The restriction of method, details are not described herein.Modules in above-mentioned data assets map use device can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of the place in computer equipment
It manages in device, can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution or more
The corresponding operation of modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment assets map for storing data.The network interface of the computer equipment is used to pass through with external terminal
Network connection communication.To realize a kind of data assets map application method when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 8, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory
The step of computer program, which realizes any of the above embodiment the method when executing computer program.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
The step of any of the above embodiment the method is realized when machine program is executed by processor.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (15)
1. a kind of data assets map application method, which is characterized in that the described method includes:
Obtain data assets map and assignment instructions；
According to the assignment instructions, the application strategy to the data assets map is obtained；
According to the application strategy, executing inquiry operation, relationship discovery operation or event to the data assets map influences behaviour
Make, obtains the implementing result of the assignment instructions.
2. the method according to claim 1, wherein described according to the application strategy, to the data assets
Map, which executes inquiry operation, relationship discovery operation or event, influences operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, the corresponding target data asset entity of the inquiry operation is obtained；
In the data assets map, the information of the corresponding data assets entity is inquired.
3. according to the method described in claim 2, inquiring the number it is characterized in that, described in the data assets map
Include: according to the information of asset entity
The entity description information of the data assets entity is inquired in the data assets map.
4. the method according to claim 1, wherein described according to the application strategy, to the data assets
Map, which executes inquiry operation, relationship discovery operation or event, influences operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, obtains the relationship discovery and operate corresponding data assets entity；
In the data assets map, the direct relation information and/or implication relation information of the data assets entity are found.
5. the method according to claim 1, wherein described according to the application strategy, to the data assets
Map, which executes inquiry operation, relationship discovery operation or event, influences operation, and the implementing result for obtaining the assignment instructions includes:
According to the application strategy, the event information between entity and entity is obtained in the data assets map；
Whether abnormal monitor the event, when the event is abnormal, then
According to the direct relation and/or implication relation and the event information between the entity, corresponding event shadow is obtained
Ring information.
6. according to the method described in claim 5, obtaining entity and entity it is characterized in that, described according to the application strategy
Between event information include:
Operation is executed to the data assets map by figure computational algorithm, obtains the anomalous variation of the entity.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
According to the anomalous variation, trace to the source in the data assets map；
Obtain the starting point of anomalous variation.
8. according to the method described in claim 6, it is characterized in that, the method also includes:
According to the relationship between the anomalous variation and entity, early warning operation is diffused to the data assets map；
It is operated according to the diffusion early warning, abnormal reality will be generated because of the anomalous variation in the data assets map
Body carries out early warning.
9. the method according to claim 1, wherein the method also includes:
Obtain data assets information；
The data assets information is subjected to data assets model conversion, obtains data assets map.
10. according to the method described in claim 9, it is characterized in that, the data assets information that obtains includes: external import
The information of information and internal system acquisition；The method also includes:
The information imported outside will be described and the information of internal system acquisition are integrated, and the data assets letter is obtained
Breath.
11. according to the method described in claim 10, it is characterized in that, it is described will be described outside the information and the system that import
The information of inside acquisition is integrated, and obtaining the data assets information includes:
Mechanism of Conflict Among is set；
Conflict solving, attribute fusion and relationship between data assets entity is handled according to the Mechanism of Conflict Among to merge.
12. according to the method described in claim 9, it is characterized in that, described carry out data assets for the data assets information
Model conversion, it includes relation information and description information that obtain data assets map, which include: the data assets information,；
The relation information is stored in the form of triple to chart database；
The format information is directly stored in the chart database.
13. a kind of data assets map use device, which is characterized in that described device includes:
Data acquisition module, for obtaining data assets map and assignment instructions；
Application strategy obtains module, for obtaining the application strategy to the data assets map according to the assignment instructions；
Using result-generation module, for executing inquiry operation, relationship to the data assets map according to the application strategy
It was found that operation or event influence operation, the implementing result of the assignment instructions is obtained.
14. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 12 the method when executing the computer program.
15. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 12 is realized when being executed by processor.
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| CN113094515A (en) * | 2021-04-13 | 2021-07-09 | 国网北京市电力公司 | Knowledge graph entity and link extraction method based on electric power marketing data |
| CN113495978A (en) * | 2020-03-18 | 2021-10-12 | 中电长城网际系统应用有限公司 | Data retrieval method and device |
| WO2023165559A1 (en) * | 2022-03-02 | 2023-09-07 | 中兴通讯股份有限公司 | Asset information collection method, electronic device and computer-readable storage medium |
| WO2023226311A1 (en) * | 2022-05-23 | 2023-11-30 | 华为云计算技术有限公司 | Data asset graph management method and related device |
| CN117574363A (en) * | 2024-01-15 | 2024-02-20 | 杭州美创科技股份有限公司 | Data security event detection method, device, computer equipment and storage medium |
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