CN114969383A - Application processing method and device based on zero code development - Google Patents
Application processing method and device based on zero code development Download PDFInfo
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Abstract
The application provides an application processing method and device based on zero code development, and the method comprises the steps of obtaining current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data; fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph; determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule; and configuring the target application events according to the target event entities and the target entity attributes, realizing data bridging between the two application events, improving the conventional shaft type data distribution structure, improving the utilization rate of data, and being more friendly to development users with different degrees.
Description
Technical Field
The application relates to the technical field of internet application, in particular to an application processing method and device based on zero code development.
Background
In recent years, with the gradual maturity of software engineering technology, a "zero code" technology without programming comes out, so that a terminal user who does not know the computer programming technology can be enabled to complete the application development meeting specific business requirements through the technology without writing any computer programming language code and only through more friendly application modeling (such as a form model, a flow model, a printing model, a report model and the like of application are built in a "dragging and pulling" mode), the application development process becomes "zero code" development or "no code" development, and the developed application generally becomes "zero code" application or "no code" application.
At present, zero-code development is increasingly applied, and the zero-code development is widely applied to data form collection (such as an opinion feedback table) and some simple enterprise working scenes (such as an OA scene of asking for reimbursement and the like). However, because each application is basically developed independently, the mutual utilization rate of the data collected by each application is low, and particularly for users who do not know the programming language or the data change rule, the data collected by the previous application is more difficult to be applied to the development of the subsequent application, so that the development efficiency is low, and the data is wasted.
Disclosure of Invention
In view of the above, the present application is proposed to provide an application processing method and apparatus based on zero-code development that overcomes or at least partially solves the above problems, comprising:
an application processing method based on zero code development specifically comprises the following steps:
acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data;
fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule;
and configuring the target application event according to the target event entity and the target entity attribute.
Preferably, the obtaining current application data of the current application event according to a preset first rule, and extracting a current event entity and a current entity attribute from the current application data includes:
acquiring instance data of the current application event, and determining the current application data in the instance data according to the first rule, wherein the first rule is used for monitoring a current event object of the current application event;
and extracting the current event entity and the current entity attribute in the current application data according to the current event object.
Preferably, the fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain the target knowledge graph comprises the following steps:
acquiring an application event model corresponding to a current application event, wherein the application event model is used for generating the current application event according to the current event entity and the current entity attribute;
extracting event elements and element attributes of the application event model, and constructing an initial knowledge graph according to the event elements and the element attributes;
acquiring historical application data of historical application events related to the application model, and extracting historical event entities and historical event attributes from the historical application data;
and fusing the initial knowledge graph according to the historical event entity and the historical event attribute to obtain the historical knowledge graph.
Preferably, the determining, in the target knowledge-graph, a target event entity and a target entity attribute associated with the current event entity and the current entity attribute according to a preset second rule includes:
determining a first target node in the target knowledge graph according to the current event entity and the current entity attribute;
determining a relationship edge associated with the first target node in the target knowledge graph according to the second rule;
determining a second target node in the target knowledge graph according to the first target node and the relation edge;
and obtaining the target event entity and the target entity attribute according to the knowledge expression of the second target node in the target knowledge graph.
Preferably, the configuring the target application event according to the target event entity and the target entity attribute comprises, before:
packaging the target event entity and the target entity attribute to generate a target calling interface;
and binding the target calling interface with the target application event.
Preferably, the configuring the target application event according to the target event entity and the target entity attribute includes:
responding to first operation information of a user in the target application event, and determining a target control of the target application event;
binding the target calling interface with the target control;
and responding to second operation information of the user on the target control, calling the target calling interface, and extracting the target event entity and the target entity attribute to configure the target application event.
Preferably, the determining the target control of the target application event previously includes:
determining a current control of the current application event, and extracting a current control entity and a current control attribute of the current control;
determining a target control entity and a target control attribute in the target knowledge graph according to the current control entity and the current control attribute;
determining the associated control type according to the target control entity and the target control attribute;
and determining the target control in the control category according to the first operation information.
Also provided is an application processing apparatus based on zero-code development, including:
the extraction module is used for acquiring current application data of a current application event according to a preset first rule and extracting a current event entity and current entity attributes from the current application data;
the construction module is used for fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
the determining module is used for determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule;
and the configuration module is used for configuring the target application event according to the target event entity and the target entity attribute.
There is also provided a computer device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the method as defined in any one of the above.
There is also provided a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method of any one of the above.
The application has the following advantages:
in the embodiment of the application, the current application data of the current application event is obtained according to the preset first rule, and the current event entity and the current entity attribute are extracted from the current application data; fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph; determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule; configuring a target application event according to the target event entity and the target entity attribute; the application data of the current application event is obtained according to a first rule, and then entities and attributes which can be fused into the historical knowledge map only in the application data are extracted, so that the historical knowledge map is updated; then determining a target event entity and a target entity attribute associated with the current application event in the updated target knowledge graph to configure the target application event; that is, the application data of the current application event can be adaptively configured and updated for the target application event, so that data bridging between two application events is realized, the conventional shaft type data distribution structure is improved, the utilization rate of the data is improved, and the method is more friendly to development users with different degrees.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a flowchart illustrating steps of a method for processing an application based on zero-code development according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an application processing apparatus based on zero-code development according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device for an application processing method based on zero-code development according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all 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.
Referring to fig. 1, an application processing method based on zero code development provided in an embodiment of the present application is shown, which specifically includes the following steps;
s110, acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data;
s120, fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
s130, determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule;
s140, configuring the target application event according to the target event entity and the target entity attribute.
Acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data; fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph; determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule; configuring a target application event according to the target event entity and the target entity attribute; the application data of the current application event is obtained according to a first rule, and then entities and attributes which can be fused into the historical knowledge map only in the application data are extracted, so that the historical knowledge map is updated; then determining a target event entity and a target entity attribute associated with the current application event in the updated target knowledge graph to configure the target application event; that is, the application data of the current application event can be adaptively configured and updated for the target application event, so that data bridging between two application events is realized, the conventional shaft type data distribution structure is improved, the utilization rate of the data is improved, and the method is more friendly to development users with different degrees.
The application processing method based on zero-code development will be further explained by the following embodiments.
As described in step S110 above, the specific process of "obtaining the current application data of the current application event according to the preset first rule, and extracting the current event entity and the current entity attribute from the current application data" in step S110 may be further described with reference to the following description.
Acquiring instance data of the current application event, and determining the current application data in the instance data according to the first rule, wherein the first rule is used for monitoring a current event object of the current application event;
and extracting the current event entity and the current entity attribute from the current application data according to the current event object.
The user can personally design the required application events by self through a zero code tool of the zero code application platform, and edit the application events, for example, the partial entities, the attributes and the relations in the application events are added and deleted, for example, the field information of columns or rows of the application events can be added and deleted in the form application events, for example, the flow node information of the application events can be added and deleted in the flow application events, and the like.
It should be noted that, in order to provide a wider visualization operation for a user in the process of editing an application event, the application provides convenience for the user to better extract more relevant and useful data in the process of editing the event through a knowledge graph, and meanwhile, the instance data generated by the edited application event is fused with a historical knowledge graph, so that the original knowledge graph is updated.
As described in step S120 above, the specific process before "fusing the historical knowledge-graph according to the current event entity and the current entity attribute to obtain the target knowledge-graph" in step S120 may be further described with reference to the following description.
Acquiring an application event model corresponding to a current application event, wherein the application event model is used for generating the current application event according to the current event entity and the current entity attribute;
extracting event elements and element attributes of the application event model, and constructing an initial knowledge graph according to the event elements and the element attributes;
acquiring historical application data of historical application events related to the application model, and extracting historical event entities and historical event attributes from the historical application data;
and fusing the initial knowledge graph according to the historical event entity and the historical event attribute to obtain the historical knowledge graph.
It should be noted that the initial knowledge graph is constructed based on the event elements and the element attributes of the application event model, and then the initial knowledge graph is refined and updated subsequently through the instance data of the application event constructed based on the application event model. Specifically, historical event entities and historical event attributes are extracted from the historical application data, and then the historical event entities and the historical event attributes are fused with the initial knowledge graph to obtain a current historical knowledge graph.
The knowledge graph is used as a knowledge database and is used for describing the relationship between entities representing the real world in mass data to form an abstract semantic network graph, wherein nodes represent the entities, and edges connecting the nodes represent attributes and the relationship of the attributes.
In the above, a relationship structure is constructed according to the relationship between the historical event entity and the historical entity attribute, and the relationship between the event element and the element attribute in the initial knowledge graph, so as to update the initial knowledge graph, so as to obtain the historical knowledge graph.
As described in step S130 above, the specific process of "determining the target event entity and the target entity attribute associated with the current event entity and the current entity attribute in the target knowledge-graph according to the preset second rule" in step S130 may be further described in conjunction with the following description.
Determining a first target node in the target knowledge-graph according to the current event entity and the current entity attribute;
determining a relationship edge associated with the first target node in the target knowledge graph according to the second rule;
determining a second target node in the target knowledge graph according to the first target node and the relation edge;
and obtaining the target event entity and the target entity attribute according to the knowledge expression of the second target node in the target knowledge graph.
It should be noted that, a user may edit the first rule based on the zero-code development platform, and may monitor a specific application event (current application event) in the zero-code application; for example, application events of "new data" in the form application may be monitored; specifically, based on the relationship structure of the "newly added data" node in the target knowledge graph, the user can obtain other associated nodes associated with the "newly added data" node in the target knowledge graph according to the feedback of the relationship structure, and the user can select the required associated node at the other associated nodes by himself or herself, and further set a corresponding second rule according to the selected associated node.
The second rule corresponds to the relationship edges designated by the selected associated nodes in the target knowledge graph.
As described in step S140 above, the specific process before "configuring the target application event according to the target event entity and the target entity attribute" in step S140 can be further described with reference to the following description.
Packaging the target event entity and the target entity attribute to generate a target calling interface;
and binding the target calling interface with the target application event.
In this embodiment, the configuring the target application event according to the target event entity and the target entity attribute includes:
responding to first operation information of a user in the target application event, and determining a target control of the target application event;
binding the target calling interface with the target control;
and responding to second operation information of the user on the target control, calling the target calling interface, and extracting the target event entity and the target entity attribute to configure the target application event.
In this embodiment of the present application, the determining the target control of the target application event previously includes:
determining a current control of the current application event, and extracting a current control entity and a current control attribute of the current control;
determining a target control entity and a target control attribute in the target knowledge graph according to the current control entity and the current control attribute;
determining the associated control type according to the target control entity and the target control attribute;
and determining the target control in the control category according to the first operation information.
It should be noted that, in the knowledge graph, if the assignment of the entity attributes thereof is different, another associated node that is reflected to be associated with the corresponding associated node in the target knowledge graph is also different, for example, the application event "new data" is used as one of the father nodes in the target knowledge graph, the child node that is associated with the new data through the relationship edge is "member ID", the child node that is associated with the new data through the relationship edge can be classified into three levels, namely, high level and medium level through the identification of the member ID that is input, and different levels are associated with different "auditors" child nodes.
When the user edits the first rule of the application event of the 'newly added data', the identifier of the member ID can be used as the reference of the attribute threshold; that is, the current application event is monitored through the first rule, when the current application event data is updated, particularly, the current event entity and the current entity attribute of the data are extracted, when the value of the extracted current entity attribute meets the attribute threshold value, a corresponding node is determined in the target knowledge graph according to the current event entity and the current entity attribute, another associated node is determined according to the corresponding node and the relation that the attribute threshold value of the node is reflected in the target knowledge graph, and the target event entity and the target entity attribute are obtained according to the another associated node.
It should be noted that, the target application event is used as a response event of the current application event, that is, in the present application, after it is monitored that the current application event meets the trigger condition, the target application event responds adaptively.
In the embodiment of the application, the event entity and the entity attribute which can be configured in the target application event are obtained by combining the current event entity and the current entity attribute through the target knowledge graph, so that the target application event executes the self-adaptive response.
With reference to the foregoing embodiment, when the entity attribute of the "member ID" event entity obtained in the "newly added data" application event is "advanced member", a child node of the "advanced member" is obtained to associate with a child node of the "advanced manager" according to the relationship structure in the target knowledge graph. Understandably, the target application event can be an 'auditing process', and how to respond to the monitoring result of the 'advanced member' in the 'new data' application event is not known in the initial 'auditing process'; furthermore, according to the target knowledge graph, the related 'high-level manager' event entity can be automatically configured for the 'auditing process' application event. Of course, entity attributes such as "zhang san" as a high-level manager, auditing admission "funds" of high-level members of the high-level manager and the like can be configured for the application event of the "auditing process" according to the target knowledge graph.
In the present application, a simpler example is listed, for example, the current application event of the monitoring is expressed as "student mingmen has 100 yuan", and the target application event is expressed as "bookstore buying book"; however, in practical applications, the data of the current application event and the target application event are unrelated in a shaft mode; then, the application provides a related processing idea, specifically, data of 'student xiaohong 100 yuan minbi going to bookstore and buying book' in an application event is subjected to entity and attribute extraction, and a knowledge graph is updated, so that a related relation of student-minbi-bookstore-buying book is established, that is, a reference condition for setting a monitoring and response mechanism is provided for a user. And when xiaoming is a student and there is 100 yuan (current application event intercepted), go to bookstore to buy book (target application event in response).
The present application further provides an application processing apparatus based on zero-code development, including:
the extracting module 110 is configured to obtain current application data of a current application event according to a preset first rule, and extract a current event entity and a current entity attribute from the current application data;
the construction module 120 is configured to fuse the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
a determining module 130, configured to determine, in the target knowledge-graph, a target event entity and a target entity attribute associated with the current event entity and the current entity attribute according to a preset second rule;
the configuration module 140 is configured to configure the target application event according to the target event entity and the target entity attribute.
Referring to fig. 3, a computer device of a zero-code application monitoring and processing method according to the present invention is shown, which may specifically include the following:
the computer device 12 described above is embodied in the form of a general purpose computing device, and the components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (commonly referred to as "hard drives"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, with the program modules 42 configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing an application processing method based on zero code development provided by the embodiment of the present invention.
That is, the processing unit 16 implements, when executing the program,: acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data; fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph; determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule; and configuring the target application event according to the target event entity and the target entity attribute.
In an embodiment of the present invention, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements an application processing method based on zero-code development as provided in all embodiments of the present application:
that is, the program when executed by the processor implements: acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data; fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph; determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule; and configuring the target application event according to the target event entity and the target entity attribute.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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 document, 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.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. 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 thereof. 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.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the operator's computer, partly on the operator's computer, as a stand-alone software package, partly on the operator's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the operator's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The application processing method and device based on zero code development provided by the application are introduced in detail, specific examples are applied in the application to explain the principle and the implementation of the application, and the description of the above embodiments is only used to help understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. An application processing method based on zero code development is characterized by comprising the following steps:
acquiring current application data of a current application event according to a preset first rule, and extracting a current event entity and current entity attributes from the current application data;
fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
determining a target event entity and a target entity attribute which are associated with the current event entity and the current entity attribute in the target knowledge graph according to a preset second rule;
and configuring the target application event according to the target event entity and the target entity attribute.
2. The method according to claim 1, wherein obtaining current application data of a current application event according to a preset first rule, and extracting a current event entity and a current entity attribute from the current application data comprises:
acquiring instance data of the current application event, and determining the current application data in the instance data according to the first rule, wherein the first rule is used for monitoring a current event object of the current application event;
and extracting the current event entity and the current entity attribute in the current application data according to the current event object.
3. The method of claim 1, wherein the fusing the historical knowledge-graph according to the current event entity and the current entity attribute to obtain a target knowledge-graph comprises:
acquiring an application event model corresponding to a current application event, wherein the application event model is used for generating the current application event according to the current event entity and the current entity attribute;
extracting event elements and element attributes of the application event model, and constructing an initial knowledge graph according to the event elements and the element attributes;
acquiring historical application data of historical application events related to the application model, and extracting historical event entities and historical event attributes from the historical application data;
and fusing the initial knowledge graph according to the historical event entity and the historical event attribute to obtain the historical knowledge graph.
4. The method according to claim 1, wherein the determining, in the target knowledge-graph, a target event entity and a target entity attribute associated with the current event entity and the current entity attribute according to a preset second rule comprises:
determining a first target node in the target knowledge graph according to the current event entity and the current entity attribute;
determining a relationship edge associated with the first target node in the target knowledge graph according to the second rule;
determining a second target node in the target knowledge graph according to the first target node and the relation edge;
and obtaining the target event entity and the target entity attribute according to the knowledge expression of the second target node in the target knowledge graph.
5. The method of claim 1, wherein the configuring the target application event according to the target event entity and the target entity attribute previously comprises:
packaging the target event entity and the target entity attribute to generate a target calling interface;
and binding the target calling interface with the target application event.
6. The method of claim 5, wherein the configuring the target application event according to the target event entity and the target entity attribute comprises:
responding to first operation information of a user in the target application event, and determining a target control of the target application event;
binding the target calling interface with the target control;
and responding to second operation information of the user on the target control, calling the target calling interface, and extracting the target event entity and the target entity attribute to configure the target application event.
7. The method of claim 6, wherein determining the target control for the target application event previously comprises:
determining a current control of the current application event, and extracting a current control entity and a current control attribute of the current control;
determining a target control entity and a target control attribute in the target knowledge graph according to the current control entity and the current control attribute;
determining the associated control type according to the target control entity and the target control attribute;
and determining the target control in the control category according to the first operation information.
8. An application processing apparatus based on zero-code development, comprising:
the extraction module is used for acquiring current application data of a current application event according to a preset first rule and extracting a current event entity and current entity attributes from the current application data;
the construction module is used for fusing the historical knowledge graph according to the current event entity and the current entity attribute to obtain a target knowledge graph;
a determining module, configured to determine, in the target knowledge-graph, a target event entity and a target entity attribute that are associated with the current event entity and the current entity attribute according to a preset second rule;
and the configuration module is used for configuring the target application event according to the target event entity and the target entity attribute.
9. A computer device comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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