CN111291065B

CN111291065B - Asset data modification method and device executed by computing equipment and computing equipment

Info

Publication number: CN111291065B
Application number: CN202010089504.0A
Authority: CN
Inventors: 陈璐璐; 叶齐娇; 魏世嘉; 郭贝贝
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2020-02-12
Filing date: 2020-02-12
Publication date: 2023-07-25
Anticipated expiration: 2040-02-12
Also published as: CN111291065A

Abstract

The present disclosure provides an asset data modification method performed by a computing device, comprising: receiving a change instruction of target asset data aiming at a business architecture, wherein the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data category of the target asset data and a current change reason, and the current change reason characterizes the current priority of the target asset data; if the current priority is determined to be the first priority, performing a change operation on the target asset data in response to the change instruction; if the current priority is determined to be the second priority, determining whether first reference asset data which is in the same category as the target asset data exists in the storage device according to the data category of the target asset data to obtain a determination result; and determining whether to perform a change operation on the target asset data in response to the change instruction according to the determination result. The disclosure also provides an asset data modification device, a computing device and a medium.

Description

Asset data modification method and device executed by computing equipment and computing equipment

Technical Field

The present disclosure relates to the field of computer technology, and in particular, to an asset data modification method executed by a computing device, an asset data modification apparatus, a computing device, and a computer-readable storage medium.

Background

In order to meet the development requirements of digital banks, commercial banks need to understand industry development trends and analyze threats and opportunities existing in enterprises. The business architecture can globally display the association relationship among businesses of the commercial bank so as to analyze the threat and opportunity existing in the enterprise. The method realizes modular development based on enterprise-level business architecture, and is an effective means for bridging the digital gap between business and technology. Asset data changes in business architecture are often caused by demands, which have different priorities. In banking, the requirements mainly include policy requirements, strategic requirements, problem requirements, project requirements, etc., and are presented in such a way that policy requirements take precedence over strategic requirements, strategic requirements take precedence over problem requirements, problem requirements take precedence over project requirements.

In the course of implementing the disclosed concept, the inventors found that the related art method for asset data modification has at least the following problems. When different users change asset data based on different needs, a change conflict is necessarily caused. In the related art, in order to avoid a change conflict, an offline communication manner is generally adopted to coordinate the change of asset data in a business architecture. However, there are a number of drawbacks to communicating via offline: firstly, the system does not have any record information about the change of the asset data, and the record information is recorded only by manpower, so that the change result of the asset data is easy to forget and put aside; secondly, the management and control mode of the asset data change is single, and all the asset data changes can be determined by off-line multiparty coordination, so that the labor cost and the time cost are high.

Disclosure of Invention

One aspect of the present disclosure provides an asset data modification method performed by a computing device, the method comprising: receiving a change instruction of target asset data aiming at a business architecture, wherein the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data category of the target asset data and a current change reason, the current change reason is characterized by the current priority of the target asset data, if the current priority is determined to be a first priority, a change operation is performed on the target asset data in response to the change instruction, if the current priority is determined to be a second priority, whether first reference asset data which is the same category as the target asset data exists in the storage device is determined according to the data category of the target asset data to obtain a determination result, and whether the change operation is performed on the target asset data in response to the change instruction is determined according to the determination result, wherein the first priority is higher than the second priority.

According to an embodiment of the present disclosure, determining whether to perform a change operation on the target asset data in response to the change instruction according to the determination result includes: and if the determined result represents that the first reference asset data which is in the same category with the target asset data exists in the storage device, determining the priority of the first reference asset data according to the change reason of the first reference asset data, and determining whether to execute the change operation on the target asset data according to the change instruction according to the priority of the first reference asset data.

According to an embodiment of the present disclosure, determining whether to perform a change operation on the target asset data in response to the change instruction according to the priority of the first reference asset data includes: performing a change operation on the target asset data in response to the change instruction if the priority of the first reference asset data is lower than the second priority, and prohibiting the change operation from being performed on the target asset data based on the change instruction if the priority of the first reference asset data is higher than or equal to the second priority.

According to an embodiment of the present disclosure, the method further includes: after performing a change operation on the target asset data in response to the change instruction, determining whether second reference asset data of the same class as the target asset data exists in the storage device according to a data class of the target asset data, determining a priority of the second reference asset data according to a change reason of the second reference asset data in response to determining that second reference asset data of the same class as the target asset data exists in the storage device, determining whether the priority of the second reference asset data is lower than a current priority of the target asset data, and performing a modification operation on the second reference asset data in response to determining that the priority of the second reference asset data is lower than the current priority of the target asset data.

According to an embodiment of the present disclosure, performing the modification operation on the second reference asset data includes: generating notification information, wherein the notification information comprises change information of the target asset data, sending the notification information to a change user of the second reference asset data, receiving a modification instruction of the second reference asset data by the change user of the second reference asset data based on the notification information, and responding to the modification instruction, and modifying the second reference asset data so as to enable the modified second reference asset data to be consistent with the target asset data.

According to an embodiment of the present disclosure, determining whether second reference asset data in the same category as the target asset data exists in the storage device according to the data category of the target asset data includes: and acquiring an asset change table stored in the storage device according to the data category of the target asset data, wherein the asset change table comprises a plurality of pieces of reference asset data to be selected, the data category of each piece of reference asset data to be selected is consistent with the data category of the target asset data, the asset effective time of the target asset data is determined, at least one piece of reference asset data is determined from the plurality of pieces of reference asset data based on the asset effective time of the target asset data, the asset effective time of the at least one piece of reference asset data is equal to or later than the asset effective time of the target asset data, the similarity of each piece of reference asset data in the at least one piece of reference asset data and the target asset data is calculated, and the reference asset data with the similarity greater than the preset similarity in the at least one piece of reference asset data is determined as the second reference asset data.

According to an embodiment of the present disclosure, calculating the similarity of each of the at least one reference asset data and the target asset data includes: performing word segmentation on each of the at least one piece of reference asset data to obtain a plurality of first words of each piece of reference asset data, performing word segmentation on the target asset data to obtain a plurality of second words of the target asset data, obtaining historical asset data, determining a weight of each first word of the plurality of first words based on a proportion of each first word of the plurality of first words in the historical asset data, determining a weight of each second word of the plurality of second words based on a proportion of each second word of the plurality of second words in the historical asset data, and calculating a vector product of each reference asset data and the target asset data based on the weight of each first word of the plurality of first words and the weight of each second word of the plurality of second words, wherein the vector product is used for representing similarity of each piece of the plurality of reference asset data and the target asset data.

According to an embodiment of the present disclosure, the method further includes: and determining the current priority of changing the target asset data based on the current change reason. Wherein determining, based on the current change cause, a current priority to change the target asset data comprises: and acquiring a priority parameter table stored in the storage device, wherein the priority parameter table comprises corresponding relations between a plurality of reference change reasons and a plurality of reference priorities, determining a reference change reason consistent with the current change reason from the priority parameter table, and determining a reference priority corresponding to the reference change reason consistent with the current change reason from the priority parameter table as the current priority.

Another aspect of the present disclosure provides an asset data modification device, the device comprising: the device comprises a receiving module, a changing module, a first determining module and a second determining module. The receiving module receives a change instruction of target asset data aiming at a business architecture, wherein the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data category of the target asset data and a current change reason, and the current change reason characterizes the current priority of the target asset data. And the change module is used for responding to the change instruction to execute a change operation on the target asset data if the current priority is determined to be the first priority. And the first determining module is used for determining whether first reference asset data which is in the same category with the target asset data exists in the storage device according to the data category of the target asset data to obtain a determination result if the current priority is determined to be the second priority. And the second determining module is used for determining whether to execute a change operation on the target asset data according to the determination result, wherein the first priority is higher than the second priority.

According to an embodiment of the disclosure, the apparatus further includes a third determining module, a fourth determining module, a fifth determining module, and a modifying module. And the third determining module is used for determining whether second reference asset data which is in the same category with the target asset data exists in the storage device according to the data category of the target asset data after the change operation is performed on the target asset data in response to the change instruction. And a fourth determining module, responsive to determining that there is second reference asset data in the same category as the target asset data in the storage device, determining a priority of the second reference asset data according to a change reason of the second reference asset data. A fifth determination module determines whether the priority of the second reference asset data is lower than the current priority of the target asset data. And a modification module that performs a modification operation on the second reference asset data in response to determining that the second reference asset data has a lower priority than the current priority of the target asset data.

According to an embodiment of the present disclosure, the above apparatus further includes: and a sixth determining module for determining a current priority of changing the target asset data based on the current change reason. Wherein determining, based on the current change cause, a current priority to change the target asset data comprises: and acquiring a priority parameter table stored in the storage device, wherein the priority parameter table comprises corresponding relations between a plurality of reference change reasons and a plurality of reference priorities, determining a reference change reason consistent with the current change reason from the priority parameter table, and determining a reference priority corresponding to the reference change reason consistent with the current change reason from the priority parameter table as the current priority.

Another aspect of the present disclosure provides a computing device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described above.

Another aspect of the present disclosure provides a non-transitory readable storage medium storing computer executable instructions which, when executed, are configured to implement a method as described above.

Another aspect of the present disclosure provides a computer program comprising computer executable instructions which when executed are for implementing a method as described above.

Drawings

For a more complete understanding of the present disclosure and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which:

FIG. 1 schematically illustrates a flow chart of an asset data modification method performed by a computing device according to an embodiment of the disclosure;

FIG. 2 schematically illustrates a flowchart of an asset data modification method performed by a computing device according to another embodiment of the disclosure;

FIG. 3 schematically illustrates a block diagram of an asset data modification device according to an embodiment of the disclosure;

FIG. 4 schematically illustrates a flow chart of an asset data modification method performed by a computing device according to yet another embodiment of the disclosure;

FIG. 5 schematically illustrates a block diagram of an asset data modification device according to an embodiment of the disclosure; and

FIG. 6 schematically illustrates a block diagram of a computer system for implementing asset data changes, according to an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a formulation similar to at least one of "A, B or C, etc." is used, in general such a formulation should be interpreted in accordance with the ordinary understanding of one skilled in the art (e.g. "a system with at least one of A, B or C" would include but not be limited to systems with a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

Some of the block diagrams and/or flowchart illustrations are shown in the figures. It will be understood that some blocks of the block diagrams and/or flowchart illustrations, or combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable control apparatus, such that the instructions, when executed by the processor, create means for implementing the functions/acts specified in the block diagrams and/or flowchart.

Thus, the techniques of this disclosure may be implemented in hardware and/or software (including firmware, microcode, etc.). Additionally, the techniques of this disclosure may take the form of a computer program product on a computer-readable medium having instructions stored thereon, the computer program product being usable by or in connection with an instruction execution system. In the context of this disclosure, a computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the instructions. For example, a computer-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. Specific examples of the computer readable medium include: magnetic storage devices such as magnetic tape or hard disk (HDD); optical storage devices such as compact discs (CD-ROMs); a memory, such as a Random Access Memory (RAM) or a flash memory; and/or a wired/wireless communication link.

Embodiments of the present disclosure provide an asset data modification method performed by a computing device, the method comprising: and receiving a change instruction of target asset data aiming at a business architecture, wherein the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data type of the target asset data and a current change reason, and the current change reason characterizes the current priority of the target asset data. If the current priority is determined to be the first priority, a change operation is performed on the target asset data in response to the change instruction. If the current priority is determined to be the second priority, determining whether first reference asset data in the same category as the target asset data exists in the storage device according to the data category of the target asset data to obtain a determination result. Then, it is determined whether to perform a change operation on the target asset data in response to the change instruction according to the determination result, wherein the first priority is higher than the second priority.

FIG. 1 schematically illustrates a flow chart of an asset data modification method performed by a computing device according to an embodiment of the disclosure.

As shown in FIG. 1, the method may include operations S110-S140.

In operation S110, a change instruction for target asset data of a business architecture is received, where the business architecture includes a storage device in which the target asset data is stored, the change instruction including at least a data category of the target asset data and a current change cause, the current change cause characterizing a current priority of the target asset data.

According to embodiments of the present disclosure, a business architecture stores, for example, a variety of asset data, which is processed, for example, to form components. In the process of developing business applications, a plurality of components can be acquired from a business architecture to develop corresponding businesses. For example, in a banking architecture example, the components stored in the business architecture may include, for example, a login verification component, a password setting component, a transfer money component, and so forth. When a banking application program of the mobile phone end needs to be developed, a login verification component, a password setting component, a money transfer component and the like can be obtained from a business architecture to realize the development of the banking application program of the mobile phone end.

According to embodiments of the present disclosure, the target asset data is, for example, any one or more of a variety of asset data stored in a storage device. The computing device used for executing the method of the embodiment of the disclosure may be a device in a service architecture, for example, the computing device may be a server, a server cluster, or the like. The change instruction for the target asset data of the business architecture may be, for example, a user instruction, and when the computing device receives the change instruction, a corresponding process may be performed based on the change instruction to determine whether to change the target asset data.

In the embodiment of the disclosure, the change instruction includes, for example, a data category of the target asset data and a current change reason. The data categories may include, for example, a flow category, a product category, and an entity category, among others. The current change cause may be, for example, a national policy cause, an industry policy cause, an enterprise policy cause, and so on. It will be appreciated that the current change cause can characterize the current priority of making changes to the target asset data. For example, national policy reasons have highest priority, followed by industry policy reasons having lower priority.

In operation S120, if it is determined that the current priority is the first priority, a change operation is performed on the target asset data in response to the change instruction. According to an embodiment of the present disclosure, the first priority may be, for example, a highest priority, which characterizes, for example, that a current change reason for which the target asset data needs to be changed at the time is a national policy reason.

According to embodiments of the present disclosure, for example, the target asset data is taken as an example of an open-card asset, and the open-card asset before modification includes, for example, a debit card. After the modification operation is performed on the target asset data, the modified target asset data includes, for example, a debit card and a credit card.

In operation S130, if it is determined that the current priority is the second priority, it is determined whether there is first reference asset data of the same category as the target asset data in the storage device according to the data category of the target asset data to obtain a determination result. According to an embodiment of the present disclosure, the first priority is higher than the second priority, for example. The second priority, for example, characterizes that the current change reason for the current need to change the target asset data is an industry policy reason, an enterprise policy reason, or the like. The specific process of determining whether the first reference asset data in the same category as the target asset data exists in the storage device according to the data category of the target asset data is the same as or similar to the following operation S220, and the description in the following operation S220 may be referred to specifically. The determination of the embodiments of the present disclosure includes, for example, the presence of the first reference asset data in the storage device or the absence of the first reference asset data in the storage device.

In operation S140, it is determined whether to perform a change operation on the target asset data in response to the change instruction according to the determination result. For example, if the determination result indicates that the first reference asset data is not present in the storage device, it indicates that performing the change operation on the target asset data does not affect the asset data of the same category, and thus the change operation may be performed on the target asset data directly based on the change instruction. The specific process is described in fig. 2.

Embodiments of the present disclosure determine whether the target asset data needs to be changed by determining the current priority of the target asset data. If the current priority is determined to be the first priority, a change operation is performed on the target asset data in response to the change instruction. If it is determined that the current priority is the second priority, it is determined whether a change operation needs to be performed on the target asset data according to whether there is first reference asset data of the same category as the target asset data. By the technical scheme of the embodiment of the disclosure, the effect of automatically changing the asset data is realized, the efficiency of asset change is improved, the burden of asset maintenance personnel is reduced, and the cost of asset maintenance is reduced.

FIG. 2 schematically illustrates a flowchart of an asset data modification method performed by a computing device according to another embodiment of the disclosure.

As shown in fig. 2, the method may include operations S110 to S140 and operations S210 to S250. Operations S110 to S140 are the same as or similar to the operations described in fig. 1, and are not described here again. Further, operation S140 may include operations S141 to S144, for example.

In operation S210, a current priority of the change target asset data is determined based on the current change cause.

For example, first, a priority parameter table stored in a storage device is acquired, the priority parameter table including correspondence between a plurality of reference change causes and a plurality of reference priorities. The plurality of reference change reasons include, for example, a country policy reason, an industry policy reason, an enterprise policy reason, and the like, and the plurality of reference priorities include, for example, a first priority, a second priority, a third priority, and the like, and the priorities of the first priority, the second priority, and the third priority are, for example, from high to low. One reference change cause corresponds to one reference priority, e.g., a national policy cause corresponds to a first priority.

Then, a reference change cause that coincides with the current change cause is determined from the priority parameter table, and a reference priority corresponding to the reference change cause that coincides with the current change cause is determined from the priority parameter table as the current priority. For example, if the current change source is a country policy cause, a first priority corresponding to the country policy cause in the priority parameter table is determined as the current priority.

According to an embodiment of the present disclosure, the above-described operation S140 includes, for example, the following operations S141 to S144.

In operation S141, if the determination result indicates that the first reference asset data of the same category as the target asset data does not exist in the storage device, a change operation is performed on the target asset data in response to the change instruction. That is, if the determination result indicates that the first reference asset data does not exist in the storage device, it means that the same category of asset data is not affected by performing the change operation on the target asset data, and therefore, the change operation can be performed on the target asset data directly based on the change instruction.

In operation S142, if the determination result indicates that there is first reference asset data of the same category as the target asset data in the storage device, the priority of the first reference asset data is determined according to the change cause of the first reference asset data.

Then, it is determined whether to perform a change operation on the target asset data in response to the change instruction according to the priority of the first reference asset data, and the specific process includes, for example, the following operations S143 to S144.

In operation S143, if the priority of the first reference asset data is lower than the second priority, a change operation is performed on the target asset data in response to the change instruction. That is, since the priority of the first reference asset data is lower than the second priority, it is possible to perform the change operation on the target asset data based on the change instruction without considering whether there is a conflict with the first reference asset data after the change of the target asset data having the high priority. The first reference asset data may be subsequently modified if there is a conflict between the first reference asset data and the target asset data.

In operation S144, if the priority of the first reference asset data is higher than or equal to the second priority, the execution of the change operation on the target asset data based on the change instruction is prohibited. That is, since the first reference asset data has a higher priority than the second priority, it is necessary to consider whether there is a conflict with the first reference asset data having a higher priority when performing the change operation on the target asset data. Since the priority of the first reference asset data is high, it is necessary to prohibit the execution of the change operation on the target asset data of low priority, thereby avoiding the conflict between the target asset data and the first reference asset data.

According to an embodiment of the present disclosure, after performing the above-described operation S120 or operation S143, the following operations S220 to S250 may be continuously performed.

In operation S220, after performing a change operation on the target asset data in response to the change instruction, it is determined whether there is second reference asset data of the same category as the target asset data in the storage device according to the data category of the target asset data.

For example, asset change tables stored in the storage device are obtained based on the data categories of the target asset data, e.g., one data category corresponds to one asset change table. When the data category is a process category, a product category, and an entity category, the process category corresponds to, for example, asset change table 1, the product category corresponds to, for example, asset change table 2, and the entity category corresponds to, for example, asset change table 3.

According to an embodiment of the present disclosure, each asset change table includes, for example, a plurality of reference asset data to be selected, and a data category of each of the plurality of reference asset data to be selected is consistent with a data category of the target asset data. For example, the data categories of the plurality of reference asset data to be selected in the asset change table 1 are all flow categories.

According to an embodiment of the present disclosure, for example, an asset validation time of the target asset data is determined, and then at least one reference asset data is determined from the plurality of reference asset data to be selected based on the asset validation time of the target asset data, the asset validation time of the at least one reference asset data being equal to or later than the asset validation time of the target asset data. For example, taking the data category of the target asset data as a product category as an example, the asset validation time of the target asset data is 2019, 1 month and 1 day, and the asset change table 2 includes the reference asset data 1 to be selected, the reference asset data 2 to be selected, the reference asset data 3 to be selected, and the like. If the asset validation time of the reference asset data 1 to be selected, the reference asset data 2 to be selected and the reference asset data 3 to be selected is 2019, 1 st 3 nd 12 nd 1 st 12 nd in order, determining that the asset validation time of the reference asset data 1 to be selected is equal to the asset validation time of the target asset data and the asset validation time of the reference asset data 2 to be selected is later than the asset validation time of the target asset data.

Then, a similarity of each of the at least one reference asset data to the target asset data is calculated. For example, the similarity of the reference asset data 1 to be selected and the target asset data is calculated, and the similarity of the reference asset data 2 to be selected and the target asset data is calculated. And determining the reference asset data with the similarity larger than the preset similarity in the at least one reference asset data as second reference asset data. For example, if the calculated similarity between the reference asset data 1 to be selected and the target asset data is greater than the preset similarity, the reference asset data 1 to be selected is determined as the second reference asset data.

According to an embodiment of the present disclosure, calculating the similarity of each of the at least one reference asset data with the target asset data includes, for example, the following steps (1) to (3).

(1) Performing word segmentation on each piece of reference asset data in at least one piece of reference asset data to obtain a plurality of first words of each piece of reference asset data, and performing word segmentation on the target asset data to obtain a plurality of second words of the target asset data.

For example, taking the target asset data as an open-card asset example, word segmentation is performed on the target asset data, and the obtained plurality of second words comprise clients, offerings, open-cards, functions, bindings, money storage and the like. The process of word segmentation for each of the at least one reference asset data is similar to that of the target asset data and will not be described in detail herein.

(2) The method comprises the steps of obtaining historical asset data, then determining the weight of each first word of the plurality of first words based on the proportion of each first word of the plurality of first words in the historical asset data, and determining the weight of each second word of the plurality of second words based on the proportion of each second word of the plurality of second words in the historical asset data. The proportion of each first word or each second word in the historical asset data may be characterized, for example, by the number of occurrences thereof.

According to embodiments of the present disclosure, the historical asset data is, for example, asset data in an existing asset library. Taking a plurality of second words as examples, for example, the number of occurrences of a plurality of second word clients, offerings, card opening, functions, binding and saving in the historical asset data is 3 times, 1 time, 5 times, 1 time, 2 times and 5 times respectively, and the weights of the clients, offerings, card opening, functions, binding and saving are 3/17, 1/17, 5/17, 1/17, 2/17 and 5/17 respectively after standardized processing. The calculation process of the weight of each first word in the plurality of first words is similar to that of the second word, and will not be described in detail here.

(3) And calculating a vector product of each reference asset data and the target asset data based on the weight of each first word of the plurality of first words and the weight of each second word of the plurality of second words, wherein the vector product is used for representing the similarity of each reference asset data in the at least one reference asset data and the target asset data. For example, if the vector product of a certain reference asset data and the target asset data exceeds a certain threshold, the reference asset data is determined as the second reference asset data.

According to the embodiment of the present disclosure, the specific process of determining whether the first reference asset data in the storage device is in the same category as the target asset data according to the data category of the target asset data in the above-mentioned operation S130 is the same as or similar to the process of determining whether the second reference asset data in the storage device is in the same category as the target asset data according to the data category of the target asset data, and will not be described again here.

In response to determining that there is second reference asset data of the same category as the target asset data in the storage device, a priority of the second reference asset data is determined according to a change cause of the second reference asset data in operation S230. For example, a priority parameter table is acquired, and then a priority corresponding to the cause of change of the second reference asset data is found from the priority parameter table.

In operation S240, it is determined whether the priority of the second reference asset data is lower than the current priority of the target asset data.

In response to determining that the priority of the second reference asset data is lower than the current priority of the target asset data, a modification operation is performed on the second reference asset data in operation S250. That is, since the change operation has been performed on the target asset data in operation 120 or operation S143, if the priority of the second reference asset data is lower than the current priority of the target asset data, there is a conflict between the second reference asset data and the target asset data, at which time a modification operation of the second reference asset data is required in order to modify the second reference asset data into data consistent with the target asset data.

According to an embodiment of the present disclosure, performing the modification operation on the second reference asset data includes, for example, the following process.

First, notification information is generated, the notification message including change information of the target asset data. Then, notification information is sent to the changing user of the second reference asset data so as to inform the changing user of the second reference asset data about the changing condition of the target asset data, so that the changing user of the second reference asset data knows that the second reference asset data conflicts with the target asset data. When a change user of the second reference asset data modifies the second reference asset data, the computing device in the business architecture may receive a modification instruction of the change user of the second reference asset data to the second reference asset data based on the notification information, and then the computing device may perform a modification operation on the second reference asset data in response to the modification instruction so as to make the modified second reference asset data consistent with the target asset data.

Fig. 3 schematically illustrates a block diagram of an asset data modification device according to an embodiment of the present disclosure.

As shown in fig. 3, the asset data modification device includes, for example, a build priority parameter model module 310, a priority determination module 320, a modify asset module 330, an asset comparison module 340, a mail confirmation module 350, and an associated system update module 360. The functions of the respective modules will be described below.

The build priority parameter model module 310 is used to implement the priority of configuration asset change sources. For example, build priority parameter model module 310 may receive configuration instructions from a management user to build a priority parameter table. The management user may include, for example, a user who has authority to build a priority parameter table, and the management user and the change user may be different users, for example. The configuration instruction includes various attributes such as a main system person, a source category, and a priority, for example, the various attributes such as the main system person, the source category, and the priority in the configuration instruction are respectively government, country category, and highest priority. After the build priority parameter model module 310 receives the configuration instruction of the management user, various attributes in the configuration instruction can be analyzed and split, so as to build a priority parameter table. The main fields of the priority parameter table include, for example, priority ID, event type, stem, source category, priority, and the like. The different attributes in the configuration instruction may be stored, for example, as field values of different fields in the priority parameter table, for example, "government" in the configuration instruction may be stored as field values of the "main person" field in the priority parameter table, "country category" may be stored as field values of the "source category" field in the priority parameter table, and "highest priority" may be stored as field values of the "priority" field in the priority parameter table, and in a preferred embodiment, the field values of the "priority" field stored in the priority parameter table may be, for example, a number, for example, the number of the "highest priority" may be 001, and number 001 may be stored as field value of the "priority" field in the priority parameter table. It will be appreciated that the number 001 is only an illustrative example, and those skilled in the art can specifically set numbers of different priorities according to actual application situations. The field values of the respective fields of the priority parameter table are not exemplified one by one. The owner of the related asset data is, for example, a government if the reason for changing the related asset data is, for example, national policy reasons. For example, when the source type is related to the cause of the change of the asset data, for example, the cause of the change of the asset data is a country policy cause, an industry policy cause, or an enterprise policy cause, respectively, the corresponding source type is a country type, an industry type, or an enterprise type, respectively. The constructed priority parameter table may be used by the priority determination module 320, for example.

The priority determination module 320 may be used, for example, to implement the following two functions: (1) Based on the change instruction sent by the user, the priority parameter table is queried to acquire and output a change priority level, and the output change priority level can be used by the change asset module 330 and the asset comparison module 340, for example; (2) And inquiring a priority parameter table based on the asset priority ID in the similar asset change set provided by the asset comparison module 340, acquiring a comparison result between the priority of the target asset data and the priority of the similar asset, and then outputting the comparison result to the asset comparison module 340.

The business architecture of the embodiments of the present disclosure is divided into a plurality of business models, for example, mainly into a flow model, a product model, a entity model, and the like. The asset data categories corresponding to the process model, the product model and the entity model are, for example, a process category, a product category and an entity category respectively. The change asset module 330 may be configured to store corresponding asset data in a classified manner, that is, determine a data type of an asset to be changed by receiving a change instruction sent by a user, and store the asset data to be changed in an asset change table corresponding to the data type in a classified manner according to the data type. The main fields of the asset change table include, for example, asset ID, asset type, asset name, asset original content, asset change content, asset changer, priority ID, etc., the asset change table is available for query by the asset comparison module 340.

The asset comparison module 340 may be used to compare other asset data that conflicts with the target asset data. For example, based on the data category of the target asset data of the current change, an asset change table corresponding to the data category is queried, and an asset comparison algorithm may be employed to compare the current target asset data with other asset data having an asset validation time equal to or later than the target asset data validation time to output a set of like asset changes for use by the priority determination module 320 and mail confirmation module 350. The asset comparison algorithm is specifically implemented by calculating a vector product of the target asset data and other asset data, for example. If the cross product of the two compared asset data exceeds a certain threshold, the same asset is called a same asset and is added to a same asset change set. Conversely, it is referred to as an unrelated asset.

Mail validation module 350 can mail the asset owner regarding the status of the asset conflict. For example, the information of the asset stem person is obtained through the like asset change set provided by the asset comparison module 340, and the change content about the current target asset data provided by the priority determination module 320 is edited into mail content to notify the asset stem person. The general content of the mail may include, for example, why the source of the change (the reason for the change), the existence of conflicts in the assets changed by the stakeholder, prompting the stakeholder to modify, and providing a link to the modification. Specifically, the general content of the mail may include: because of policy adjustment, there is a conflict with the asset data with high priority in the asset a changed before you, you are expected to modify the asset a quickly to meet the requirements, and the link is confirmed or modified as follows: and a link B.

The related system updating module 360 is used for synchronously updating the asset data in other related systems after the asset data is changed, for example.

FIG. 4 schematically illustrates a flowchart of an asset data modification method performed by a computing device according to yet another embodiment of the disclosure.

As shown in fig. 4, the method may include operations S401 to S411. The method of the embodiments of the present disclosure will be described below in connection with the various functional modules in fig. 3.

According to the embodiment of the disclosure, the priority judging module 320 obtains a change instruction of the asset change user, obtains a change priority level of the current target asset data from the priority parameter library, and performs different processes according to the priority level. If the change priority of the target asset data is the highest level (e.g., the first priority), the change asset module 330 sorts and stores the target asset data according to the data category of the target asset data and notifies the change user of the target asset data about the change result online. If the change priority of the target asset data is at another level, the asset comparison module 340 compares the current target asset data with other asset data (the other asset data having a validation time equal to or later than the validation time of the target asset data). If the target asset data and other asset data are similar assets, the priority judging module 320 inquires whether other assets with higher priority than the current target asset data exist, and if so, the user changing the target asset data is notified on line that the current change of the target asset data fails and the failure reason. If not, the change asset module 330 sorts and stores the change of the target asset data and notifies the more user of the change of the target asset data that the change operation was successful. Further, the priority determination module 320 may also query whether there are other assets that are lower priority than the current target asset data. If so, the mail confirmation module 350 notifies the stakeholders of other assets with low priority regarding the asset conflict situation in a mail manner; if not, the system does no longer do any processing. The specific processing procedure includes, for example, the following operations S401 to S411.

In operation S401, an asset changer enters an asset management interface to modify target asset data.

In operation S402, the priority determining module 320 obtains and determines the priority level of the source of change of the target asset data by querying the priority parameter table constructed by the constructed priority parameter model module 310. Different processing is performed based on different priority levels. For example, if the source of the change target asset data is at the highest level, operation S403 is performed; if it is the other level, operation S404b is performed.

In operation S403, the modification asset module 330 receives the modification content of the target asset data input by the modification user and the priority ID provided by the priority determination module 320, determines the data type of the target asset data to be modified and performs classified storage to complete the modification, and notifies the modification person of the target asset data about the stored and successfully modified result on line.

In operation S404a or operation S404b, the asset comparison module 340 compares the target asset data of the current change with other asset data (the effective time of which is equal to or later than the effective time of the target asset data). For example, by using word segmentation techniques, the target asset data is compared to other asset data by calculating a vector product. If the vector product of the two compared asset data exceeds a certain threshold, adding the target asset data into the similar asset change set.

In operation S405, the priority determination module 320 queries other asset changes of low priority in the priority parameter table based on the similar asset change set provided in the asset comparison module 340 and stores them in the low priority asset change set for output. If the low priority asset transition collection is not empty, then the result is passed to mail validation module 350 and operation S406 is performed; if it is empty, operation S411 is performed.

In operation S406, the mail confirmation module 350 receives the current target asset data and other asset change data having a lower priority than the change of the target asset data, and notifies the asset owner of the other asset change data about the latest target asset data change, and provides a link to prompt the other asset changer to adjust the confirmation.

In operation S407, the priority determination module 320 queries the priority parameter table for the high priority asset change based on the same type of asset change set provided in the asset comparison module 340 and stores the high priority asset change in the high priority asset change set for output. If the set is not empty, the result is returned to the asset comparison module 340 and operation S408 is performed; if it is empty, operation S403 is performed.

In operation S408, the asset comparison module 340 obtains the result returned by the priority determination module 320, and alerts the asset changer to the failure and the failure cause of the current target asset data change on line.

In operation S409, the asset trunk person clicks the mail confirmation link and completes the confirmation.

After receiving the confirmation instruction of the asset contact person, the associated system update module 360 updates the asset data of the associated system to maintain the synchronization of the asset data in operation S410. After the synchronization is successful, operation S411 is performed.

In operation S411, the process ends.

It can be appreciated that by the technical scheme of the embodiment of the disclosure, the effect of automatically changing the asset data is achieved. That is, the asset data does not need to be changed in an artificial offline coordination mode, so that the efficiency of asset change is improved, the burden of asset maintenance personnel is reduced, and the cost of asset maintenance is reduced.

Fig. 5 schematically illustrates a block diagram of an asset data modification device according to an embodiment of the disclosure.

As shown in fig. 5, the asset data modification device 500 includes, for example, a receiving module 510, a modification module 520, a first determination module 530, and a second determination module 540.

The receiving module 510 may be configured to receive a change instruction for target asset data of a business architecture, where the business architecture includes a storage device in which the target asset data is stored, and the change instruction includes at least a data category of the target asset data and a current change cause, where the current change cause characterizes a current priority of the target asset data. The receiving module 510 may, for example, perform operation S110 described above with reference to fig. 1 according to an embodiment of the present disclosure, which is not described herein.

The change module 520 may be configured to perform a change operation on the target asset data in response to the change instruction if the current priority is determined to be the first priority. According to an embodiment of the present disclosure, the modification module 520 may perform, for example, the operation S120 described above with reference to fig. 1, which is not described herein.

The first determining module 530 may be configured to determine whether first reference asset data having the same category as the target asset data exists in the storage device according to the data category of the target asset data to obtain the determination result if it is determined that the current priority is the second priority. According to an embodiment of the present disclosure, the first determining module 530 may perform, for example, the operation S130 described above with reference to fig. 1, which is not described herein.

The second determining module 540 may be configured to determine whether to perform a change operation on the target asset data in response to the change instruction according to the determination result, wherein the first priority is higher than the second priority. The second determining module 540 may, for example, perform the operation S140 described above with reference to fig. 1 according to the embodiment of the present disclosure, which is not described herein.

Any number of modules, sub-modules, units, sub-units, or at least some of the functionality of any number of the sub-units according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented as split into multiple modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in any other reasonable manner of hardware or firmware that integrates or encapsulates the circuit, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be at least partially implemented as computer program modules, which when executed, may perform the corresponding functions.

For example, any of the receiving module 510, the altering module 520, the first determining module 530, and the second determining module 540 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the receiving module 510, the altering module 520, the first determining module 530, and the second determining module 540 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the receiving module 510, the altering module 520, the first determining module 530, and the second determining module 540 may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

FIG. 6 schematically illustrates a block diagram of a computer system for implementing asset data changes, according to an embodiment of the disclosure. The computer system illustrated in fig. 6 is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present disclosure.

As shown in fig. 6, computer system 600 includes a processor 601, a computer readable storage medium 602. The system 600 may perform a method according to an embodiment of the present disclosure.

In particular, the processor 601 may include, for example, a general purpose microprocessor, an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. Processor 601 may also include on-board memory for caching purposes. The processor 601 may be a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

The computer-readable storage medium 602 may be, for example, any medium that can contain, store, communicate, propagate, or transport the instructions. For example, a readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. Specific examples of the readable storage medium include: magnetic storage devices such as magnetic tape or hard disk (HDD); optical storage devices such as compact discs (CD-ROMs); a memory, such as a Random Access Memory (RAM) or a flash memory; and/or a wired/wireless communication link.

The computer-readable storage medium 602 may comprise a computer program 603, which computer program 603 may comprise code/computer-executable instructions which, when executed by the processor 601, cause the processor 601 to perform a method according to an embodiment of the present disclosure or any variant thereof.

The computer program 603 may be configured with computer program code comprising computer program modules, for example. For example, in an example embodiment, code in the computer program 603 may include one or more program modules, including for example 603A, module 603B, … …. It should be noted that the division and number of modules is not fixed, and that a person skilled in the art may use suitable program modules or combinations of program modules depending on the actual situation, which when executed by the processor 601, enable the processor 601 to perform the method according to embodiments of the present disclosure or any variations thereof.

According to an embodiment of the present disclosure, at least one of the receiving module 510, the altering module 520, the first determining module 530, and the second determining module 540 may be implemented as computer program modules described with reference to fig. 6, which when executed by the processor 601, may implement the respective operations described above.

The present disclosure also provides a computer-readable medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer readable medium carries one or more programs which, when executed, implement the methods described above.

According to embodiments of the present disclosure, the computer readable medium may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, fiber optic cable, radio frequency signals, or the like, or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be combined in various combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

While the present disclosure has been shown and described with reference to certain exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure as defined by the appended claims and their equivalents. The scope of the disclosure should, therefore, not be limited to the above-described embodiments, but should be determined not only by the following claims, but also by the equivalents of the following claims.

Claims

1. A method of asset data modification performed by a computing device, the method comprising:

receiving a change instruction of target asset data aiming at a business architecture, wherein the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data category of the target asset data and a current change reason, and the current change reason characterizes the current priority of the target asset data;

if the current priority is determined to be the first priority, performing a change operation on the target asset data in response to the change instruction;

if the current priority is determined to be the second priority, determining whether first reference asset data which is in the same category as the target asset data exists in the storage device according to the data category of the target asset data to obtain a determination result; and

Determining whether to execute a change operation on the target asset data in response to the change instruction according to the determination result, wherein the method comprises the following steps: if the determined result represents that the first reference asset data which is in the same category with the target asset data does not exist in the storage device, responding to the change instruction to execute a change operation on the target asset data; if the determined result represents that the first reference asset data which is in the same category as the target asset data exists in the storage device, determining the priority of the first reference asset data according to the change reason of the first reference asset data; and determining whether to perform a change operation on the target asset data in response to the change instruction according to the priority of the first reference asset data; performing a change operation on the target asset data in response to the change instruction if the first reference asset data has a lower priority than the second priority; if the first reference asset data has a priority higher than or equal to the second priority, disabling execution of a change operation on the target asset data based on the change instruction,

Wherein the first priority is higher than the second priority.

2. The method of claim 1, further comprising:

after performing a change operation on the target asset data in response to the change instruction, determining whether second reference asset data of the same category as the target asset data exists in the storage device according to the data category of the target asset data;

in response to determining that there is second reference asset data in the storage device that is of the same category as the target asset data, determining a priority of the second reference asset data according to a change cause of the second reference asset data;

determining whether the priority of the second reference asset data is lower than the current priority of the target asset data; and

in response to determining that the priority of the second reference asset data is lower than the current priority of the target asset data, performing a modification operation on the second reference asset data.

3. The method of claim 2, wherein the performing a modification operation on the second reference asset data comprises:

generating notification information, wherein the notification information comprises change information of the target asset data;

Sending the notification information to a changing user of the second reference asset data;

receiving a modification instruction of the second reference asset data by a modification user of the second reference asset data based on the notification information; and

and in response to the modification instruction, performing modification operation on the second reference asset data so as to enable the modified second reference asset data to be consistent with the target asset data.

4. The method of claim 2, wherein the determining whether there is second reference asset data in the storage device that is of the same category as the target asset data according to the data category of the target asset data comprises:

acquiring an asset change table stored in the storage device according to the data category of the target asset data, wherein the asset change table comprises a plurality of pieces of reference asset data to be selected, and the data category of each piece of reference asset data to be selected in the plurality of pieces of reference asset data to be selected is consistent with the data category of the target asset data;

determining an asset validation time of the target asset data;

determining at least one reference asset data from the plurality of reference asset data to be selected based on an asset validation time of the target asset data, wherein the asset validation time of the at least one reference asset data is equal to or later than the asset validation time of the target asset data;

Calculating the similarity of each piece of reference asset data in the at least one piece of reference asset data and the target asset data; and

and determining the reference asset data with the similarity larger than the preset similarity in the at least one reference asset data as the second reference asset data.

5. The method of claim 4, wherein the calculating the similarity of each of the at least one reference asset data to the target asset data comprises:

performing word segmentation processing on each piece of reference asset data in the at least one piece of reference asset data to obtain a plurality of first word segments of each piece of reference asset data;

performing word segmentation processing on the target asset data to obtain a plurality of second words of the target asset data;

acquiring historical asset data;

determining a weight of each first word of the plurality of first words based on a proportion of each first word of the plurality of first words in the historical asset data;

determining a weight of each second word of the plurality of second words based on a proportion of each second word of the plurality of second words in the historical asset data; and

And calculating a vector product of each of the reference asset data and the target asset data based on the weight of each of the plurality of first words and the weight of each of the plurality of second words, wherein the vector product is used for representing the similarity of each of the at least one reference asset data and the target asset data.

6. The method of claim 1, further comprising: determining a current priority of changing the target asset data based on the current change cause;

wherein determining, based on the current change cause, a current priority to change the target asset data comprises:

acquiring a priority parameter table stored in the storage device, wherein the priority parameter table comprises corresponding relations between a plurality of reference change reasons and a plurality of reference priorities;

determining a reference change cause consistent with the current change cause from the priority parameter table; and

and determining a reference priority corresponding to the reference change reason consistent with the current change reason from the priority parameter table as the current priority.

7. An asset data modification device, the device comprising:

The system comprises a receiving module, a processing module and a processing module, wherein the receiving module receives a change instruction of target asset data aiming at a business architecture, the business architecture comprises a storage device, the target asset data is stored in the storage device, the change instruction at least comprises a data category of the target asset data and a current change reason, and the current change reason characterizes the current priority of the target asset data;

a change module that, if it is determined that the current priority is a first priority, performs a change operation on the target asset data in response to the change instruction;

the first determining module is used for determining whether first reference asset data which is in the same category as the target asset data exists in the storage device according to the data category of the target asset data to obtain a determining result if the current priority is determined to be the second priority; and

a second determining module for determining whether to execute a change operation on the target asset data in response to the change instruction according to the determination result, wherein the second determining module comprises: if the determined result represents that the first reference asset data which is in the same category with the target asset data does not exist in the storage device, responding to the change instruction to execute a change operation on the target asset data; if the determined result represents that the first reference asset data which is in the same category as the target asset data exists in the storage device, determining the priority of the first reference asset data according to the change reason of the first reference asset data; and determining whether to perform a change operation on the target asset data in response to the change instruction according to the priority of the first reference asset data; performing a change operation on the target asset data in response to the change instruction if the first reference asset data has a lower priority than the second priority; if the first reference asset data has a priority higher than or equal to the second priority, disabling execution of a change operation on the target asset data based on the change instruction,

Wherein the first priority is higher than the second priority.

8. A computing device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.

9. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-6.