CN114880323A - Data management method, device, equipment and storage medium - Google Patents
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Abstract
The application provides a data management method, which is applied to an information processing platform, wherein the information processing platform comprises: a client; the method comprises the following steps: receiving a data request instruction sent by a client; acquiring the client-side association information according to the data request instruction; interacting with a third-party database according to the associated information to acquire corresponding target data information; extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information; and displaying a plurality of pieces of field information corresponding to each piece of target data on a corresponding client according to a preset format. The method realizes the efficient and convenient data import to the client. In addition, a data management device, equipment and a storage medium are also provided.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a data management method, apparatus, device, and storage medium.
Background
At present, the people are in the information age, a large amount of data information is generated every day, and how to manage the data information related to the people is crucial for individuals or enterprises.
For example, intellectual property is increasingly paid attention by enterprises, and how to realize convenient and quick management of intellectual property cases of the enterprises is a problem which needs to be solved urgently. At present, many enterprises tend to manage intellectual property cases through a system, but at present, when the system is adopted to manage the intellectual property cases, a client is required to manually input related information, or the client is required to manually input the related case information one by one, or the client is required to manually input search conditions, and then the related intellectual property case information is searched for from a third party based on the search conditions to be imported. Obviously, this mode is wasted time and energy, and is not intelligent enough, so can not satisfy the enterprise to the demand of convenient management of data.
Disclosure of Invention
The application aims to solve the problems of time and labor waste and insufficient intelligence, and provides a data management method, a device, equipment and a storage medium.
A data management method is applied to an information processing platform, and the information processing platform comprises the following steps: a client;
the method comprises the following steps:
receiving a data request instruction sent by a client;
acquiring the client-side association information according to the data request instruction;
interacting with a third-party database according to the associated information to acquire corresponding target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information;
and displaying a plurality of pieces of field information corresponding to each piece of target data on a corresponding client according to a preset format.
A data management device is applied to an information processing platform, and the information processing platform comprises: a client;
the device comprises:
the receiving module is used for receiving a data request instruction sent by a client;
the acquisition module is used for acquiring the client-side association information according to the data request instruction;
the interaction module is used for interacting with a third-party database according to the associated information to acquire corresponding target data information;
an importing module, configured to extract the target data information according to a preset field model, import the extracted information matched with a preset field to a corresponding client, and obtain a plurality of pieces of field information corresponding to each target data, where the plurality of pieces of field information include: name information, status information;
and the display module is used for displaying the plurality of pieces of field information corresponding to each piece of target data on the corresponding client according to a preset format.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
receiving a data request instruction sent by a client;
acquiring the client-side association information according to the data request instruction;
interacting with a third-party database according to the associated information to acquire corresponding target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information;
and displaying a plurality of pieces of field information corresponding to each piece of target data on a corresponding client according to a preset format.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
receiving a data request instruction sent by a client;
acquiring the client-side association information according to the data request instruction;
interacting with a third-party database according to the associated information to acquire corresponding target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information;
and displaying a plurality of pieces of field information corresponding to each piece of target data on a corresponding client according to a preset format.
According to the data management method, the data management device, the computer equipment and the storage medium, when the client needs to import information, only a data request instruction needs to be triggered without manually inputting any content, the client related information can be automatically acquired according to the data request instruction, then the target data information is acquired through interaction between the related information and a third-party database, field extraction is carried out on the target data information according to a preset field model, then the target data information is imported into the client, and the target data information is displayed on the corresponding client according to a preset format. The data management method can intelligently acquire the client-side associated information, saves time and labor, and realizes convenient management of the data information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram of a method for data management in one embodiment;
FIG. 2 is a flow chart of a data management method in another embodiment;
FIG. 3 is a block diagram showing the structure of a data management apparatus according to an embodiment;
FIG. 4 is a block diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is noted that the terms "comprises," "comprising," and "having" and any variations thereof in the description and claims of this application and the drawings described above are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. In the claims, the description and the drawings of the specification of the present application, relational terms such as "first" and "second", and the like, may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.
As shown in fig. 1, a data management method is applied to an information processing platform, and the information processing platform includes: a client;
the method comprises the following steps:
The data request command may be triggered automatically or passively, for example, a timing may be set for monitoring triggering. In one embodiment, a data import button may be provided on the interface of the client, and the data import button triggers a corresponding data request command.
And step 104, acquiring the client-side associated information according to the data request instruction.
Wherein the client association information may be associated with one or more personal/business information associated with the client. For example, if the data to be imported is patent data, the business information (i.e., applicant information) may be used as the association information by default. In an embodiment, the client related information may also be obtained by analyzing and extracting the imported data information in the client, for example, if the imported data information obtained by analyzing the imported data information includes a plurality of enterprise/personal subjects, the plurality of subjects are directly used as the client related information. And/or extracting a plurality of enterprises/personal subjects as default client association information according to the user information of the client (the user information can be registration information of individuals/enterprises); specifically, according to the user information serving as a retrieval condition, querying an enterprise associated with the current user on a third-party enterprise query platform, such as enterprise query, love enterprise query, sky eye query and the like, and extracting an enterprise meeting a preset condition (for example, the stock holding ratio of the user reaches a certain threshold value, and/or the stock holding ratio in shareholder information reaches a certain threshold value) as the associated information of the current client; therefore, the client-side associated information can be intelligently obtained without user input or editing, input errors or omission of the user in the manual input process are avoided, and the client-side associated information acquired by the method is more efficient and accurate.
Optionally, when the obtained client association information includes a plurality of data, the user may be allowed to perform selection confirmation.
And 106, interacting with a third-party database according to the associated information to acquire corresponding target data information.
After the associated information is determined, the search condition is determined, and corresponding target data information is searched in a third-party database according to the associated information.
The preset field model is used for extracting preset fields from the target data information, so that a plurality of pieces of field information corresponding to each target data can be extracted.
And step 110, displaying the plurality of pieces of field information corresponding to each piece of target data on the corresponding client according to a preset format.
The method comprises the steps of setting a configuration format of a plurality of fields in a client in advance, and displaying a plurality of pieces of field information corresponding to each piece of target data based on the preset format.
According to the data management method, when the client needs to import information, only a data request instruction needs to be triggered without manually inputting any content, client association information can be automatically acquired according to the data request instruction, then target data information is acquired through interaction between the association information and a third-party database, field extraction is carried out on the target data information according to a preset field model, then the target data information is imported into the client, and the target data information is displayed on the corresponding client according to a preset format. The data management method can intelligently acquire the client-side associated information, saves time and labor, and realizes convenient management of the data information.
In one embodiment, the obtaining the client association information according to the data request instruction includes: acquiring user information of the client, inquiring at least one enterprise information related to the user information on a third-party platform according to the user information, and taking the at least one enterprise information as the client related information; or when the imported data information exists in the client, extracting an enterprise main body or an individual main body in the imported data information, and using the enterprise main body or the individual main body as the client related information. By automatically acquiring the client-side associated information, the user does not need to manually input, so that on one hand, the manual input error is avoided, and on the other hand, the client-side associated information acquired by the method is more comprehensive, efficient and accurate.
In one embodiment, after the interacting with the third-party database according to the association information to obtain the corresponding target data information, the method further includes: screening out data information which is imported into the client from the target data information to serve as first target data information; taking the data information which is not imported into the client in the target data information as second target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information, including: updating state information of the imported data information in the client according to the first target data information; and extracting the second target data information according to a preset field model, and importing the extracted information matched with the preset field into a corresponding client.
The client may already have some imported data information before initiating the data request instruction, in order to avoid repeated import, the imported data information is screened out from the searched target data information and used as first target data information, and then only the state of the imported data information needs to be updated based on the first target data, and repeated import is not needed. And for the second target data information which is not imported, extracting fields and importing the fields to the corresponding client. By the method, repeated leading-in is avoided, state updating of the led-in data information can be realized, time and labor are saved, and high efficiency and intelligence are achieved.
As shown in fig. 2, in an embodiment, the data management method further includes:
in order to further improve the management convenience of enterprise users, the information processing platform can also actively monitor newly added data information sets in the third-party database, for example, the newly added data information in the third-party database is crawled every day or every week. And then automatically assigned to the associated client.
And step 114, searching whether a related client exists or not for each piece of newly added data information, if so, performing field extraction on the corresponding data information by adopting a preset field model and importing the data information into the corresponding client, and if not, discarding the corresponding data information.
And automatically searching whether the associated client exists or not aiming at each piece of newly added data information, namely searching whether each piece of newly added data information is matched with the associated information of the client or not. For example, if the associated information is the applicant information, the applicant information in the newly added data information may be acquired and then matched with the applicant information of the client, and if the associated information is matched with the applicant information of the client, the newly added data information is distributed to the corresponding client. If no client is matched, the data information is discarded. The data information of the actively distributed client can be newly marked, so that enterprise users can conveniently know which data are newly added, and the efficiency and convenience of information acquisition are improved.
The information processing platform actively acquires the newly-added data information in the third-party database and then distributes the newly-added data information to the associated client, so that enterprise users can acquire information data without feeling, and convenience in data management is further provided for enterprises.
In one embodiment, the obtaining the client association information according to the data request instruction includes: acquiring whether the imported data information exists in the client; if the data information exists, analyzing and identifying the imported data information, and determining the associated information based on the analysis and identification result; and if the information does not exist, acquiring the personal information or the enterprise information corresponding to the client as the associated information.
The client-side associated information may be obtained in two ways, one is to obtain personal information or enterprise information corresponding to the client-side as associated information, the other is to analyze the imported data information in the client-side to determine the associated information, for example, which applicant information exists in the imported data information can be analyzed and obtained, then the analyzed applicant information is used as the associated information, and also which common characteristic all exist in the imported data information can be analyzed and obtained, for example, if the imported data information corresponds to the same agent, the agent can be used as the common characteristic, if the imported data information corresponds to the same technology, the technology can be used as the common characteristic, then the analyzed common characteristic can be used as the associated information, or the selected item can be displayed to the client-side, and then acquiring the selection of the client, and taking the selection of the client as the associated information.
In one embodiment, the analyzing and identifying the imported data information and determining the association information based on the analyzing and identifying result includes:
extracting the features of the imported data information to obtain one or more common features;
and displaying the one or more common characteristics as selection items on the client, acquiring the selection of the client on the one or more common characteristics, and determining the associated information according to the selection.
The method includes the steps of extracting common features of imported data information, wherein the common features of the imported data information are extracted, for example, if the imported data information corresponds to a certain enterprise, the enterprise is one of the common features, if the imported data information corresponds to a certain technology or a certain classification number, the technology or the classification number is also one of the common features, the extracted common features are used as selection items to be displayed on a client, and the client can select one or more common features as associated information according to requirements. A plurality of common features are analyzed and extracted from the imported data information, and then the common features are displayed at the client side, so that enterprise users can select one or more common features as associated information according to actual requirements, and then corresponding data information is automatically acquired according to the associated information.
In one embodiment, the method comprises: when detecting that the client deletes the imported one or more pieces of data information, performing feature identification on the deleted one or more pieces of data information, and determining feature tags of the one or more pieces of data information; and prompting whether to delete all imported data information with the feature tag or not based on the feature tag.
In the data management process of the enterprise, not only new data is required, but also old data information or data information which is not concerned any more is required to be deleted. In order to enable an enterprise user to delete data to be deleted more quickly, when it is detected that a client deletes one or more pieces of imported data, feature recognition is carried out on one or more pieces of deleted data information to obtain corresponding feature tags, a plurality of feature tags can be provided, for example, an applicant can exist, technical classification exists, case state exists and the like, the plurality of feature tags are displayed to prompt whether other data information with the corresponding feature tags needs to be deleted or not, and therefore the data information with the same feature tags can be deleted together after the data information is obtained and the method is efficient and quick.
In one embodiment, the method further comprises: acquiring an updating instruction of the selected data information; and interacting with the third-party database according to the updating instruction to acquire the latest state of the selected data information, and updating the state information according to the latest state.
The data information which is imported to the client side has a state updating requirement, and after an updating instruction is received, the corresponding latest state is acquired, and then the latest state is updated to the state information. When the state is required to be updated, only the updating instruction needs to be sent based on the selected data information, so that the method is fast and efficient.
In one embodiment, the method further comprises: when detecting a newly added field, acquiring newly added field information corresponding to the imported data information through interaction with a third-party database; and importing the newly added field information corresponding to the imported data information into a corresponding field position, and displaying the newly added field information at a corresponding client.
At the client, an enterprise user can customize fields as required, namely, can select which fields to display, and if additional fields are required for the imported data information, the fields required to be added are obtained, and then the field information corresponding to the newly added fields is extracted through interaction with a third-party database and is imported into the client for display. The method can meet the customization requirements of enterprise users.
In one embodiment, the interacting with the third-party database according to the association information to obtain the corresponding target data information includes: searching all data information corresponding to the associated information in the third database according to the associated information; and screening the data information in the valid state from all the data information to be used as the target data information.
The data information in the invalid state is often useless for the enterprise, so that the data information in the valid state can be screened out as target data information according to the validity and invalidity of the data state during data searching, and information acquisition and management of enterprise users are facilitated.
As shown in fig. 3, in one embodiment, a data management apparatus is applied to an information processing platform, and the information processing platform includes: a client;
a receiving module 302, configured to receive a data request instruction sent by a client;
an obtaining module 304, configured to obtain the client-side association information according to the data request instruction;
the interaction module 306 is configured to interact with a third-party database according to the association information to obtain corresponding target data information;
an importing module 308, configured to extract the target data information according to a preset field model, and import the extracted information matched with a preset field to a corresponding client, so as to obtain multiple pieces of field information corresponding to each target data, where the multiple pieces of field information include: name information, status information;
the display module 310 is configured to display the plurality of pieces of field information corresponding to each piece of target data on the corresponding client according to a preset format.
In one embodiment, the data request instruction is a user trigger or an automatic monitoring trigger according to a preset period.
In one embodiment, the above apparatus further comprises:
the screening module is used for screening the data information which is imported into the client from the target data information to serve as first target data information; taking the data information which is not imported into the client in the target data information as second target data information;
the import module is further used for updating the state information of the imported data information in the client according to the first target data information; and extracting the second target data information according to a preset field model, and importing the extracted information matched with the preset field into a corresponding client.
In one embodiment, the above apparatus further comprises:
the monitoring module is used for regularly monitoring a newly added data information set in the third-party database by the information processing platform, wherein the data information set comprises a plurality of newly added data information;
and the searching module is used for searching whether the associated client exists or not according to each piece of newly added data information, if so, performing field extraction on the corresponding data information by adopting a preset field model and importing the data information into the corresponding client, and if not, discarding the corresponding data information.
In one embodiment, the obtaining module is further configured to obtain whether the imported data information exists in the client; if the data information exists, analyzing and identifying the imported data information, and determining the associated information based on the analysis and identification result; and if the information does not exist, acquiring personal information or enterprise information corresponding to the client as the associated information.
In one embodiment, the obtaining module is further configured to perform feature extraction on the imported data information, and extract one or more common features; and displaying the one or more common characteristics as selection items on the client, acquiring the selection of the client on the one or more common characteristics, and determining the associated information according to the selection.
In one embodiment, the apparatus comprises:
the characteristic identification module is used for carrying out characteristic identification on the one or more pieces of deleted data information and determining the characteristic labels of the one or more pieces of data information when detecting that the client deletes the imported one or more pieces of data information;
and the prompting module is used for prompting whether all imported data information with the characteristic label is deleted or not based on the characteristic label.
In one embodiment, the apparatus comprises: acquiring an updating instruction of the selected data information; and interacting with the third-party database according to the updating instruction to acquire the latest state of the selected data information, and updating the state information according to the latest state.
In one embodiment, the above apparatus further comprises:
the new field importing module is used for acquiring new field information corresponding to imported data information through interaction with a third-party database when the new field is detected; and importing the newly added field information corresponding to the imported data information into a corresponding field position, and displaying the newly added field information at a corresponding client.
In one embodiment, the interaction module is further configured to search all data information corresponding to the associated information in the third database according to the associated information; and screening the data information in the valid state from all the data information to be used as the target data information.
FIG. 4 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may be a server, the computer device including a processor and a memory connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, causes the processor to implement the data management method described above. The internal memory may also store a computer program, which, when executed by the processor, causes the processor to perform the data management method described above. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform the steps of the above-described data management method.
A computer device comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, causes the processor to carry out the steps of the data management method described above.
It should be noted that the data management method, the data management apparatus, the computer device and the storage medium have the same or corresponding technical features, and the corresponding embodiments may be mutually applicable.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (13)
1. A data management method is applied to an information processing platform, and the information processing platform comprises the following steps: a client;
the method comprises the following steps:
receiving a data request instruction sent by a client;
acquiring the client-side association information according to the data request instruction;
interacting with a third-party database according to the associated information to acquire corresponding target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information;
and displaying a plurality of pieces of field information corresponding to each piece of target data on a corresponding client according to a preset format.
2. The method according to claim 1, wherein the obtaining the client-side association information according to the data request instruction comprises:
acquiring user information of the client, inquiring at least one enterprise information related to the user information on a third-party platform according to the user information, and taking the at least one enterprise information as the client related information;
or
When the imported data information exists in the client, extracting an enterprise main body or an individual main body in the imported data information, and using the enterprise main body or the individual main body as the client related information.
3. The method according to claim 1, further comprising, after the interacting with a third-party database according to the association information to obtain corresponding target data information:
screening out data information which is imported into the client from the target data information to serve as first target data information;
taking the data information which is not imported into the client in the target data information as second target data information;
extracting the target data information according to a preset field model, importing the extracted information matched with a preset field into a corresponding client to obtain a plurality of pieces of field information corresponding to each target data, wherein the plurality of pieces of field information comprise: name information, status information, including:
updating state information of the imported data information in the client according to the first target data information;
and extracting the second target data information according to a preset field model, and importing the extracted information matched with the preset field into a corresponding client.
4. The method of claim 1, further comprising:
the information processing platform regularly monitors a newly added data information set in the third-party database, wherein the data information set comprises a plurality of newly added data information;
and searching whether the associated client exists or not according to each piece of newly added data information, if so, adopting a preset field model to carry out field extraction on the corresponding data information and importing the data information into the corresponding client, and if not, discarding the corresponding data information.
5. The method according to claim 1, wherein the obtaining the client-side association information according to the data request instruction comprises:
acquiring whether the imported data information exists in the client;
if the data information exists, analyzing and identifying the imported data information, and determining the associated information based on the analysis and identification result;
and if the information does not exist, acquiring the personal information or the enterprise information corresponding to the client as the associated information.
6. The method according to claim 5, wherein the analyzing and identifying the imported data information and determining the association information based on the analyzing and identifying result comprise:
extracting the features of the imported data information to obtain one or more common features;
and displaying the one or more common characteristics as selection items on the client, acquiring the selection of the client on the one or more common characteristics, and determining the associated information according to the selection.
7. The method according to claim 1, characterized in that it comprises:
when detecting that the client deletes the imported one or more pieces of data information, performing feature identification on the deleted one or more pieces of data information, and determining feature tags of the one or more pieces of data information;
and prompting whether to delete all imported data information with the feature tag or not based on the feature tag.
8. The method of claim 1, further comprising:
acquiring an updating instruction of the selected data information;
and interacting with the third-party database according to the updating instruction to acquire the latest state of the selected data information, and updating the state information according to the latest state.
9. The method of claim 1, further comprising:
when detecting a newly added field, acquiring newly added field information corresponding to the imported data information through interaction with a third-party database;
and importing the newly added field information corresponding to the imported data information into a corresponding field position, and displaying the newly added field information at a corresponding client.
10. The method according to claim 1, wherein the interacting with a third-party database according to the association information to obtain corresponding target data information comprises:
searching all data information corresponding to the associated information in the third database according to the associated information;
and screening the data information in the valid state from all the data information to be used as the target data information.
11. A data management apparatus, applied to an information processing platform, the information processing platform comprising: a client;
the device comprises:
the receiving module is used for receiving a data request instruction sent by a client;
the acquisition module is used for acquiring the client-side association information according to the data request instruction;
the interaction module is used for interacting with a third-party database according to the associated information to acquire corresponding target data information;
an importing module, configured to extract the target data information according to a preset field model, import the extracted information matched with a preset field to a corresponding client, and obtain a plurality of pieces of field information corresponding to each target data, where the plurality of pieces of field information include: name information, status information;
and the display module is used for displaying the plurality of pieces of field information corresponding to each piece of target data on the corresponding client according to a preset format.
12. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the data management method according to any one of claims 1 to 10.
13. A computer arrangement comprising a memory and a processor, characterized in that the memory stores a computer program which, when executed by the processor, causes the processor to carry out the steps of the data management method according to any one of claims 1 to 10.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210450099.XA CN114880323B (en) | 2022-04-26 | 2022-04-26 | Data management method, device, equipment and storage medium |
| PCT/CN2023/092688 WO2023208246A1 (en) | 2022-04-26 | 2023-05-08 | Data management method and apparatus, device and storage medium |
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| CN202210450099.XA CN114880323B (en) | 2022-04-26 | 2022-04-26 | Data management method, device, equipment and storage medium |
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| WO2023208246A1 (en) * | 2022-04-26 | 2023-11-02 | 深圳市未来鼠信息技术有限公司 | Data management method and apparatus, device and storage medium |
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| CN114880323B (en) | 2023-12-12 |
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