CN116702892A - Knowledge base generation method and device, electronic equipment and storage medium - Google Patents
Knowledge base generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a knowledge base generation method, a knowledge base generation device, electronic equipment and a storage medium, and relates to the field of databases, comprising the following steps: acquiring information of a business shelf to be created; acquiring a parameter value corresponding to the target business object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special business object; searching a corresponding existing hierarchical frame in a database; acquiring the existing hierarchical frame and adding the proprietary business object into the existing hierarchical frame; associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame; and generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame. In the embodiment of the invention, the construction of the sub knowledge base by selecting the labels according to the user requirements can be supported, and the development cost is reduced.
Description
Technical Field
The present invention relates to the field of databases, and in particular, to a method and apparatus for generating a knowledge base, an electronic device, and a storage medium.
Background
In the vehicle industry, mass data are available in various links of vehicle research and development after product design, development and informatization construction for many years.
In the related technology, corresponding knowledge base platforms are independently generated aiming at various services in the vehicle research and development process, so that the knowledge sharing efficiency is low and the development cost is high.
Disclosure of Invention
The embodiment of the invention provides a knowledge base generation method, a knowledge base generation device, electronic equipment and a storage medium, which can multiplex at least part of existing service data through a specially established label system and can support the selection of related service data to construct a new sub-knowledge base of a corresponding service shelf according to user requirements.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
in a first aspect, a knowledge base generating method is provided, including:
acquiring information of a business shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
under the condition that the database is provided with the service main data corresponding to the target vehicle service object, acquiring a parameter value corresponding to the target service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
Searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
obtaining the existing hierarchical frame and adding the proprietary business object to the existing hierarchical frame if the existing hierarchical frame exists;
associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
and generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame.
Optionally, the associating the added node in the existing hierarchical frame with the corresponding parameter value includes:
determining a corresponding first target data model according to the universal main data tag
Invoking a first knowledge topic corresponding to the first target data model based on the first target data model;
acquiring a parameter value corresponding to the universal main data tag from a data pool through the first knowledge theme;
the parameter values are associated with the generic master data tags in the hierarchical framework.
Optionally, the associating the added node in the existing hierarchical frame with the corresponding parameter value includes:
A parameter value entered for the proprietary business object is received and associated with the proprietary business object.
Optionally, after the searching the database for the corresponding existing hierarchical frame based on the vehicle service object and the generic main data tag, the method further includes:
adding the proprietary tag to the existing hierarchical framework in the case that the proprietary tag other than the generic main data tag is included in the at least one target knowledge tag;
the associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame includes:
determining a corresponding second target data model according to the proprietary label
Invoking a second knowledge topic corresponding to the second target data model based on the second target data model;
acquiring parameter values corresponding to the proprietary tags from a data pool through the second knowledge theme;
the parameter value is associated with the proprietary tag in the hierarchical framework.
Optionally, after the obtaining the information of the service shelf to be created, the method further includes:
and under the condition that the database does not have the business master data corresponding to the shelf name, creating the business master data corresponding to the business shelf information to be created.
Optionally, after searching the database for the corresponding existing hierarchical frame based on the vehicle service object and the generic main data tag, the method further includes:
in the absence of the existing hierarchical frame, a corresponding new hierarchical frame is created based on the vehicle business object and the generic master data tag.
Optionally, after generating the sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame, the method further includes:
and pushing the data matched with the user tag in the sub knowledge base to the user according to the user tag corresponding to the user.
In a second aspect, an embodiment of the present application provides a knowledge base generating apparatus, including:
the service goods shelf acquisition module is used for acquiring information of the service goods shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
the first data acquisition module is used for acquiring a parameter value corresponding to the target service object under the condition that the database has service main data corresponding to the target vehicle service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
The hierarchical frame searching module is used for searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
a hierarchy frame operation module for acquiring the existing hierarchy frame and adding the proprietary business object to the existing hierarchy frame when the existing hierarchy frame exists;
the association module is used for associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
and the construction module is used for generating a sub knowledge base corresponding to the business shelf information based on the target level framework.
In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the steps of the method described above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having a program stored thereon, which when executed by a processor, implements the steps of the aforementioned method.
The embodiment of the application provides a knowledge base generating method, which can set corresponding labels for various knowledge in a data pool, can select target knowledge labels for target vehicle service objects according to requirements for developers, can further determine reusable universal main data labels based on the target knowledge labels under the condition that corresponding service main data exist in a database based on the target vehicle service objects, can search reusable existing hierarchical frames based on the vehicle service objects and the universal main data labels, can construct a new target hierarchical frame corresponding to the target vehicle service objects under the existing hierarchical frames, can construct a sub-knowledge base based on the target hierarchical frames for release, can perform related operations based on the sub-knowledge base for other staff, can multiplex the existing knowledge and the hierarchical frames through a label system, can support the construction of the sub-knowledge base according to the requirements of users, and can reduce development cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 is a flowchart illustrating steps of a knowledge base generating method according to an embodiment of the present application;
FIG. 2 is a block diagram of a database system according to an embodiment of the present application;
FIG. 3 is a block diagram of another database system according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating steps of another knowledge base generation method according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Throughout the specification and claims, the term "comprising" is to be interpreted as an open, inclusive meaning, i.e. "comprising, but not limited to, unless the context requires otherwise. In the description of the present specification, the terms "one embodiment," "some embodiments," "example embodiments," "examples," "particular examples," or "some examples," etc., are intended to indicate that a particular feature, structure, material, or characteristic associated with the embodiment or example is included in at least one embodiment or example of the application. The schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
In addition, it should be noted that when introducing elements of the present application and the embodiments thereof, the articles "a," "an," "the," and "said" are intended to mean that there are one or more of the elements; unless otherwise indicated, the meaning of "a plurality" is two or more; the terms "comprising," "including," "containing," and "having" are intended to be inclusive and mean that there may be additional elements other than the listed elements; the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance and order of formation.
The application will be described in detail below with reference to the drawings in connection with embodiments.
Referring to fig. 1, an embodiment of the present application provides a knowledge base generating method, which includes:
step S102, acquiring information of a business shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
it should be noted that, in the embodiment of the present application, a database system may be preset, and referring to fig. 2, the system may include: a middle platform layer 1 and a service monomer model layer 2;
the middle floor 1 may include a shelf label management module 11, a shelf template management module 12, a shelf structure management module 13, and a shelf knowledge management module 14;
The shelf label management module 11 is used for managing labels in the database through the business monomer model layer 2; by way of example, shelf label management module 11 may be used to at least one of add, delete, or modify database system labels.
The labels of the database system comprise labels of various knowledge such as parts, vehicle types, personnel, business and the like, and can also comprise user labels of users, wherein the user labels can comprise role labels of the users, behavior labels of the users and the like.
The shelf template management module 12 is used for managing templates in the database through the business monomer model layer 2;
in an embodiment of the present application, the shelf template management module 12 is used to manage templates in a database. For example, shelf template management module 12 may be configured to at least one of add templates in the database, delete templates of sub-knowledge base 2, and modify templates in the database.
The shelf structure management module 13 is used for managing the structure of each sub knowledge base through the business monomer model layer 2;
in the embodiment of the present application, the shelf structure management module 13 is used for managing the structure of the sub-knowledge base 2. For example, the shelf structure management module 13 may be configured to at least one of add a structure of the sub-repository 2, delete a structure of the sub-repository 2, or modify a structure of the sub-repository 2.
The structure and the template can be a part of a hierarchy frame, the structure can be various hierarchies divided for service, each structure can be at least one stage, for example, engine service can be divided into one stage: an engine; and (2) second-stage: a 1.5 displacement engine, a 2.0 displacement engine, a naturally aspirated engine, a turbocharged engine, etc., may have templates corresponding to each given node below the second level, such as templates below the turbocharged engine, such as templates for gears, motors, etc., as nodes.
The shelf knowledge management module 14 is used to create a new sub-knowledge base or modify knowledge in an existing knowledge base;
in embodiments of the present application, the shelf knowledge management module 14 may perform steps S102-S112 to create a new sub-knowledge base 2. The shelf knowledge management module 14 may also be used to implement data entry, verification and manipulation, and manage data relationships between data.
The sub-knowledge base is used for storing vehicle research and development service data of corresponding services.
Optionally, referring to fig. 1, the service monomer model layer 2 includes:
a business model design module 21, a theme precipitation module 22 and a data lake entering module 23;
the business model design module 21 is used for designing a business model of the sub-knowledge base 2; the business model design module 21 may be configured to at least one of add business models to the sub-knowledge base 2, modify business models to the sub-knowledge base 2, and delete business models to the sub-knowledge base 2.
One business model may invoke at least one data topic, and one business model may include one data topic, for example, an external brand data model may invoke an external brand topic; alternatively, one data model may call multiple data topics, for example, the parts data model library may call a parts name topic, a parts size parameter data topic, a parts test data topic.
The topic precipitation module 22 is used to manage various topics, such as adding, deleting, or modifying data topics.
The data topic collects specific business data, and by way of example, the topic precipitation module 22 may collect data from online business data according to the data topic; alternatively, the topic precipitation module 22 can collect data from other business data based on the data topic.
A data topic obtains data from at least one business data and transmits the data upwards, and for example, the evaluation item topic may collect data from scoring data, evaluation point data, recommended content data, and evaluation picture data; each business data includes a large amount of knowledge and corresponding tags.
In some implementations, the business model includes a data model and an algorithm rule model.
The data lake-entry module 23 is used to store vehicle development business data in a database.
The data lake-entering module 23 stores the vehicle development business data collected by the subject precipitation module 22 in a sub-data pool.
The service monomer model layer 2 can comprise a service model design module, a theme precipitation module and a data lake entering module, wherein the structure of the service monomer model layer 2 is in a tree structure, and the service model design module is sequentially subdivided into the theme precipitation module and the data lake entering module.
Optionally, referring to fig. 3, the business model includes a data model and an algorithm rule model;
the data model comprises at least one of a part data model, a vehicle model data model, a whole vehicle structure model, a self-help analysis model, a common data comparison model, a goods shelf label model, an external brand data model and an internal and external brand corresponding model;
each data model is called by a middle platform and then realizes corresponding data processing functions. For example, the component data model is used for calling corresponding component subjects to obtain component related data, and analyzing and processing the data according to a first preset rule. For another example, the model of the vehicle type data is used for calling a corresponding theme of the vehicle type to obtain related data of the vehicle type, and analyzing and processing the data according to a second preset rule. For another example, the whole vehicle structure model is used for calling a corresponding whole vehicle structure theme to obtain related data of the whole vehicle structure, and analyzing and processing the data according to a third preset rule. For another example, the self-service analysis model is used for calling a corresponding analysis-assisting theme to acquire data, and analyzing the query result according to a fourth preset rule. For another example, the commonality data comparison model is used for comparing common points in a plurality of vehicle types or a plurality of business objects for a fifth preset rule of cases. For another example, the shelf label model is used for calling a label theme, and managing labels of each service data according to a sixth preset rule. For another example, the external brand data model is configured to invoke an external brand theme to obtain external brand related data, and analyze the data according to a seventh preset rule. For another example, the internal and external brand correspondence model is used for calling internal and external brand topics to obtain internal and external brand related data, and analyzing and processing the data according to an eighth preset rule.
Wherein the algorithm rule model includes at least one of a search algorithm rule model, a tag algorithm rule model, and a recommendation algorithm rule model.
Each data model is called by a middle platform and then realizes corresponding algorithm processing functions. For example, the search algorithm rule model is used for querying the sub-knowledge base according to preset rules and returning corresponding results when the query field is received. For another example, the tag algorithm rule model is used for searching for a corresponding tag according to a preset rule according to a keyword input by a user. For another example, at least one of the recommendation algorithm rule models recommends knowledge in each sub-knowledge base to a user based on the user's user tag.
It should be noted that the data model is only a part of the data model, and a user can create a new data model according to actual needs.
With reference to fig. 2, the component data model may call a component name data theme, where the component name data theme may obtain data from the service data, which is a component name;
model invocation of vehicle model data the subject matter of the vehicle model data, the vehicle type data theme can acquire data from the service data of the vehicle type data;
the whole vehicle structure model can call a whole vehicle structure data theme, and the whole vehicle structure data theme can acquire a data whole vehicle structure function layer name from service data, namely a whole vehicle structure function name;
The self-help analysis model can call a self-help analysis theme, and the self-help analysis theme can acquire data from service data, namely self-help analysis data;
the external brand data model may invoke an external brand theme that may obtain data from business data that is the specific name of the external brand.
And so on, and will not be described in detail herein.
In some embodiments, the data topic further comprises:
the evaluation item theme comprises scores, evaluation points, recommended content and evaluation pictures;
a dimensional parameter theme including rearview mirror length and steering wheel diameter;
functional definition topics include center control locks, electric child locks.
Of course, parsing rules for various formats of service data may be set in the above subject, and data may be extracted from the service data according to the parsing rules. Therefore, the service data in the existing data source can be not used, and the development cost is further reduced.
Of course, for the newly-put business data, it may be specified to be generated according to a standard format, so that the subsequent maintenance cost may be reduced.
Of course, if new format business data is added, new format parsing rules may be added to each topic.
The embodiment of the application provides a plurality of data models and algorithm rule models, the database can systematically store data, and uniformly manage each service data developed by the vehicle, thereby reducing the cost of data management and application and improving the efficiency of knowledge sharing
Optionally, the middle stage layer 1 further includes an update module 15;
the update module 15 is used to add functionality to the middle floor 1.
The update module 15 may also be referred to as a continuous precipitation module, and in the use process of the database system, along with the development of technology, other functional modules may need to be added to the middle floor 1, and the update module 15 may be used to increase the functions of the middle floor 1, so as to improve the applicability of the database system.
It should be noted that, the middle tier 1 may further include at least one of an information query module 16, a retrieval recommendation module 17, a single sign-on authentication module 18, a personnel authority management module 19, a flow processing module 110, a main data query module 111, and a document management module 112.
Wherein the information query module 16 is used for querying the data stored in the sub knowledge base; for example, the information query module 16 may be configured to query a Bill Of Materials (BOM) for vehicle structural information or part information.
The retrieval recommendation module 17 is used for pushing knowledge matched with the retrieval behavior of the user to the user according to the retrieval behavior of the user. The related knowledge may be different from the search result of the search behavior, and may include the search result.
The search recommendation module 17 may be used for searching according to one tag, or may be used for searching according to a plurality of tags, which is not particularly limited in the embodiment of the present application.
In some embodiments, the retrieval recommendation module 17 may actively recommend related knowledge to the user according to the role tag and the behavior tag, for example, when the user has a role tag of a whole vehicle research and development engineer and is developing a behavior tag of a vehicle rearview mirror, related information of the vehicle rearview mirror may be actively pushed to the user, so as to improve the multiplexing efficiency of knowledge.
The single sign-on authentication module 18 is used for authenticating the login information of the user. For example, for a plurality of sub-knowledge bases 2, a user only needs to log in sequentially to access all the sub-knowledge bases 2; alternatively, the user may mutually authenticate with other systems, and the user may directly access the sub-knowledge base 2 after logging into the other systems that mutually authenticate.
A personnel rights management module 19 for configuring the rights of the user. By way of example, the personnel rights management module 19 may be used to configure the user's sub-knowledge base 2 access rights.
The flow processing module 110 is configured to process a flow of the database system.
The main data query module 111 is configured to query main data of the database system. In some embodiments, the primary data includes user information, customer information, organization, vendor, etc. information.
The document management module 112 is used for managing the documents of the database system. In some embodiments, the documents include log documents, and the document management module 112 may be used to manage the log documents.
After the database system is built, step S102 to step S112 may be performed to perform a creation process of the sub-knowledge base.
It should be noted that, the vehicle service objects may include vehicle development, vehicle modeling development, vehicle power development, transmission development, computer aided engineering development, and trial-production test, which are not limited by the embodiments of the present application. The target vehicle business object may be a business object for which the technician is directed.
In the embodiment of the application, a technician can open a service goods shelf information filling interface in a database system interface of the electronic equipment, and then input service goods shelf information to be created in the service goods shelf information filling interface. Specifically, a target vehicle service object and at least one target knowledge tag can be input, and the electronic device obtains the service shelf information to be created based on the input of the user.
The knowledge tag stores the corresponding knowledge in the data pool in the data pasting module. Taking the part as an example, the name of the part can be used as a knowledge tag, and then parameters such as the shape, the size and the like of the part are stored corresponding to the tag.
In practical application, a knowledge tag query control can be set in a business shelf information filling interface, a technician can input a keyword in the control, then click the knowledge tag query control, then the knowledge tag query control invokes a shelf tag model to query whether a database has the knowledge tag corresponding to the keyword and displays at least one to-be-selected knowledge tag matched with the keyword, then after the user selects one or more to-be-selected tags, the electronic equipment determines the target knowledge tag based on the selection operation of the user.
Step S104, under the condition that the database has the service main data corresponding to the target vehicle service object, acquiring a parameter value corresponding to the target service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
In the embodiment of the application, the service main data can be a main object of the through service, such as an item identifier, and the item identifier corresponds to the item source code of the general data of the service.
In the embodiment of the present application, after step S102, a technician may determine whether the target vehicle service object exists, if so, may click on a confirm presence control, after receiving a confirm operation, the electronic device proceeds to step S104, and in step S104, the service shelf information filling interface may jump to a data confirm interface. Of course, the electronic device may also automatically analyze whether the service master data corresponding to the target vehicle service object exists.
Of course, the target vehicle service object input by the technician may be text, for example, the target vehicle service object is an engine. The technician can determine from the list of business master data whether the target vehicle business object exists. Of course, the electronic device may also match the text of the target vehicle service object with the text corresponding to the item code, and determine whether the target vehicle service object exists.
Then, in the case that the database has the service main data corresponding to the target vehicle service object, the parameter value of the target vehicle service object may be obtained, for example, for the service object of the engine, the item identifier may be obtained. In practice, the parameter values may be entered by a technician, at which point the parameter values may be entered in the data validation interface in correspondence to the input controls of the target vehicle business object.
In addition, the target knowledge labels can be further checked to determine whether the target knowledge labels have the common knowledge labels and find the common knowledge labels. The confirmation process may be performed manually by a technician according to a general knowledge tag list, or may be automatically recognized by an electronic device. In the case of manual identification, a technician can select and confirm the data on the data confirmation interface. Under the condition of automatic identification of the electronic equipment, the electronic equipment can store the universal knowledge tag into a preset list, and then match the target knowledge tag with the preset list, so that the universal knowledge tag can be confirmed.
The knowledge corresponding to the universal knowledge tag is universal data, the universal data is data which can be shared by two or more sub knowledge bases, and the development cost can be saved by multiplexing the universal data. The general data can be data affecting parameters of the whole vehicle, such as displacement, and engine research and development service is available, and the whole vehicle structure is also available.
In addition, a proprietary business object can be created according to the characteristics of the business to which the business shelf information to be created belongs, and the parameter value of the proprietary business object can be created.
For example, if the engine develops the service, and the special service object, namely the key teeth of the engine, is not used in other services and is special for the engine service, a technician can create the special service object and parameter values thereof through a special service object creation control in a data confirmation interface;
for another example, the concentration of the fragrance is specific to the vehicle air conditioner research and development service, the concentration parameter values of the fragrance such as elegant, standard and heavy are not used in other services, the concentration of the fragrance is special service data of the vehicle air conditioner research and development, and a technician can create the concentration of the fragrance and the parameter values thereof through a special service object creation control in a data confirmation interface.
Step S106, searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
it should be noted that the hierarchical framework may include structures and/or templates, as previously described. The structure can be divided into at least two layers by taking a target vehicle service object as a root node, and the template is the next layer of the leaf node of the last layer of the structure. It is understood that both the structure and the templates may be combined into a hierarchical framework.
After the parameter value, the general main data label and the special service object corresponding to the target service object are all determined, whether an available hierarchical frame exists in the item source code corresponding to the item identifier can be judged.
In practical application, the template knowledge label can be a node identifier of a template layer, the template can be associated with specific knowledge, and the structure layering can facilitate inquiry. Of course, in this case, the matching can be performed with the existing hierarchical frame based on the vehicle service object and the generic main data tag, if matching is performed, there is a reusable hierarchical frame, and a new hierarchical frame is not required to be created any more, so that development cost is saved.
Of course, the target knowledge tag can also be used as a stage identifier of the middle level, and can also correspond to the knowledge of the corresponding level. In this case, the structure and the template may be matched separately, and if the labels match a structure, the structure may be multiplexed, and if the labels do not match the upper template, the template may be newly created or the template associated under the structure may be used directly. If the labels match some templates, the templates may be reused, while if the structure does not match, the structure needs to be recreated. If both match, they can be multiplexed.
Taking vehicle service objects as an example of engine research and development, taking keywords of the engine research and development, and using general main data labels of 1.5 displacement, 2.0 displacement, turbocharging, natural inhalation and the like to match, the engine research and development of the upper structural root node can be matched, and secondary nodes of 1.5 displacement, 2.0 displacement, turbocharging and natural inhalation can be matched.
For example, in the vehicle air conditioner research and development business, the keywords of the vehicle air conditioner research and development are matched by labels such as pipe sheet type, pipe belt type, water cooling type, air cooling type and the like, so that the vehicle air conditioner research and development of the upper structural root node can be matched, and the pipe sheet type, pipe belt type, water cooling type and air cooling type of the secondary node can be matched.
For another example, in a vehicle air conditioning research and development business, a condenser class template of a water cooled secondary node may be matched using a sleeve condenser, shell and tube condenser, or the like.
Or, the water-cooled secondary node is not provided with a condenser type template, and professional service objects corresponding to the sleeve condenser and the shell-and-tube condenser can be added in the water-cooled secondary node.
Step S108, when the existing hierarchical frame exists, acquiring the existing hierarchical frame and adding the proprietary business object into the existing hierarchical frame;
as described previously, in the case where the existing hierarchical frame exists, the hierarchical frame may be multiplexed. In the case of multiplexing an existing hierarchical frame, the existing hierarchical frame may not satisfy the current service, and thus, for a proprietary service object, the proprietary service object may be identified as a node and added to the existing hierarchical frame. Such as matching the structure but not enough templates, the proprietary business object may be added in a child node of the structure.
In the embodiment of the present application, the aforementioned data confirmation interface may jump to a hierarchical framework setting interface, in which a user may operate to add a proprietary business object to the existing hierarchical framework. For example, a multiplexed structure, a user may add a proprietary business object under a leaf node of the structure to which the proprietary business object is adapted. The electronic device may then add the proprietary business object to the existing hierarchical framework based on the user's add operation.
Step S110, associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
through step S108, the hierarchical framework is set, and at this time, each node may be associated with a corresponding parameter value. Of course, if knowledge is only in the child node of the set hierarchical frame, knowledge data corresponding to the knowledge label of the child node can be obtained and then associated with the child node, so that the target hierarchical frame is obtained.
And step S112, generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame.
Finally, since the target level framework has both a knowledge architecture level and relevant specific data, a sub-knowledge base corresponding to the business shelf information can be generated based on the architecture at this time, and then released.
Then, after the sub knowledge base is released, the data application can be performed. Such as providing other research and development personnel with query, analysis, tracking, etc. It should be noted that, the sub-knowledge base may be used as the project source code corresponding to the target vehicle service object.
The embodiment of the application provides a knowledge base generating method, which can set corresponding labels for various knowledge in a data pool, can select target knowledge labels for target vehicle service objects according to requirements for developers, can further determine reusable universal main data labels based on the target knowledge labels under the condition that corresponding service main data exist in a database based on the target vehicle service objects, can search reusable existing hierarchical frames based on the vehicle service objects and the universal main data labels, can construct a new target hierarchical frame corresponding to the target vehicle service objects under the existing hierarchical frames, can construct a sub-knowledge base based on the target hierarchical frames for release, can perform related operations based on the sub-knowledge base for other staff, can multiplex the existing knowledge and the hierarchical frames through a label system, can support the construction of the sub-knowledge base according to the requirements of users, and can reduce development cost.
Referring to fig. 4, another knowledge base generating method is provided in an embodiment of the present application, and includes:
step S202, acquiring information of a business shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
this step refers to the aforementioned step S102, and will not be described in detail here.
Step S204, under the condition that the database does not have the business master data corresponding to the shelf names, creating the business master data corresponding to the business shelf information to be created.
In the embodiment of the application, if the current service does not have reusable service main data, a public main data creation interface can be provided, technicians can edit the interface, the interface can call the modules such as the shelf label management module and the shelf knowledge management module in fig. 3 respectively according to edited contents, and then the modules call the service monomer model layer to create general service main data for multiplexing of other subsequent services.
For example, the service main data of the engine object can be multiplexed in the engine research and development service and the whole vehicle research and development service, but sub databases corresponding to the engine research and development service and the whole vehicle research and development service are not generated, wherein the service main data engine object is not generated, then a technician can open a public main data creation interface, then the technician can edit in the interface, for example, compile project source codes related to the engine object, then the interface can respectively call a shelf label management module, a shelf knowledge management module and the like in fig. 3 according to edited contents, then the modules call a service monomer model layer to create the service main data of the general engine object, and the service main data can be multiplexed by other subsequent services.
Step S206, under the condition that the database has the service main data corresponding to the target vehicle service object, acquiring the parameter value corresponding to the target service object, determining the general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring the special service object;
this step is referred to the aforementioned step S104, and will not be described in detail here.
Step S208, searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
this step is referred to the aforementioned step S106, and will not be described in detail here.
Step S210, in the absence of the existing hierarchical frame, creating a corresponding new hierarchical frame based on the vehicle service object and the generic master data tag.
In an embodiment of the present application, according to the foregoing description, if there is no reusable hierarchical frame, a corresponding new hierarchical frame may be created based on the vehicle service object and the generic master data tag.
For example, there is a non-reusable structure, a structure may be created, such as a shelf structure management module may be invoked to create a structure.
For example, there are non-reusable templates, a template may be created, such as a shelf template management module may be invoked to create a template.
Step S212, acquiring the existing hierarchical frame and adding the proprietary business object into the existing hierarchical frame when the existing hierarchical frame exists;
this step refers to the aforementioned step S108, and will not be described in detail here.
Step S214, associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
this step is referred to the aforementioned step S110, and will not be described in detail here.
Step S216, generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame.
This step refers to the aforementioned step S112, and will not be described in detail here.
Step S218, pushing data matched with the user tag in the sub-knowledge base to the user according to the user tag corresponding to the user.
In the embodiment of the application, the user label can comprise a role label and a behavior label, and after the user performs a certain behavior, the user can be marked with the behavior label. Then the electronic equipment can search knowledge matched with the role label and/or the behavior label from each sub knowledge base to recommend the user based on the role label and/or the behavior label, so that the user can conveniently know the knowledge, and the multiplexing rate of the knowledge can be improved.
Optionally, in step S214, associating the added node in the existing hierarchical frame with a corresponding parameter value includes:
a sub-step A11 of determining a corresponding first target data model according to the general main data tag;
a sub-step A12 of calling a first knowledge theme corresponding to the first target data model based on the first target data model;
a sub-step A13 of acquiring a parameter value corresponding to the general main data tag from a data pool through the first knowledge theme;
substep a14, associating the parameter values with the generic master data tags in the hierarchical framework.
In the embodiment of the application, as the data is stored in the lake entering module, each service data and the corresponding relation between the labels and the knowledge are stored in the lake entering module. In order to read the business data of various data sources, the application is provided with a three-layer structure, a business model layer, a main data precipitation layer and a data entering lake layer, wherein the business of the business model layer is provided for the middle-stage algorithm call, and the middle-stage algorithm is provided for the front-end call. Each topic may read data from one or more business data. The model may invoke one or more topics.
Therefore, for the general main data tag, a corresponding first target data model is determined according to the general main data tag, for example, the general main data tag is a part tag, then the corresponding relation between a root model and a theme can be used for determining that the first target data model is a part data model, and then a part name theme corresponding to the part data model is called based on the part data model; and then, according to the corresponding relation between the theme and the service data, reading the parameter value corresponding to the general main data tag in the part name theme from the data pool through the part name theme, returning the read data to the model for processing, and returning the processed data to the middle station for processing if necessary. Therefore, the traversing range can be reduced, and the efficiency is improved.
Optionally, in step 214, associating the added node in the existing hierarchical frame with a corresponding parameter value includes:
substep a21 receives the parameter values entered for the proprietary business object and associates the parameter values with the proprietary business object.
In the embodiment of the application, if the parameter value of the proprietary service object is possibly not existed in the data pool, a proprietary service object parameter input control can be provided, the input of the user is received, the parameter value of the proprietary service object is obtained, and then the parameter value is associated with the proprietary service object. A more flexible way of parameter setting may be provided.
Optionally, in step 208, after the searching the database for the corresponding existing hierarchical frame based on the vehicle service object and the generic main data tag, the method further includes:
step 209, adding the proprietary tag into the existing hierarchical frame in the case that the proprietary tag outside the universal main data tag is included in the at least one target knowledge tag;
in embodiments of the present application, where there may be target knowledge tags that are desired by the user, but are not generic master data tags, then such a manner may incorporate proprietary tags outside of such generic data tags into the aforementioned hierarchical framework. Of course, the proprietary tag may be added as a template under the corresponding leaf node of the structure.
In step 214, the associating the added node in the existing hierarchical frame with the corresponding parameter value, to obtain a target hierarchical frame includes:
Sub-step A31, determining a corresponding second target data model according to the proprietary tag
A sub-step A32 of calling a second knowledge theme corresponding to the second target data model based on the second target data model;
a sub-step A33 of acquiring a parameter value corresponding to the proprietary tag from a data pool through the second knowledge theme;
substep a34, associating the parameter value with the proprietary tag in the hierarchical framework.
In a similar manner to the data acquisition manner of the general data tag, since the proprietary tag and the knowledge thereof already exist in the data pool, a second target data model corresponding to the proprietary tag can be determined in a similar manner, then a second knowledge theme corresponding to the second target data model is called by the second target data model, and then the data is read from corresponding business data by the second knowledge theme and returned.
The embodiment of the application provides a knowledge base generating method, which can set corresponding labels for various knowledge in a data pool, can select target knowledge labels for target vehicle service objects according to requirements for developers, can further determine reusable universal main data labels based on the target knowledge labels under the condition that corresponding service main data exist in a database based on the target vehicle service objects, can search reusable existing hierarchical frames based on the vehicle service objects and the universal main data labels, can construct a new target hierarchical frame corresponding to the target vehicle service objects under the existing hierarchical frames, can construct a sub-knowledge base based on the target hierarchical frames for release, can perform related operations based on the sub-knowledge base for other staff, can multiplex the existing knowledge and the hierarchical frames through a label system, can support the construction of the sub-knowledge base according to the requirements of users, and can reduce development cost. The embodiment of the application can flexibly recommend related knowledge based on the user tag, and improve the multiplexing efficiency of the knowledge. The embodiment of the application constructs a sub knowledge base generating framework, can provide knowledge input, approval, inquiry, comparison and self-service analysis functions for users, meets the requirement of business management data for knowledge precipitation, and provides research and development knowledge pages for unified knowledge retrieval and recommendation service.
On the basis of the above embodiment, the embodiment of the present invention further provides a knowledge base generating device, including:
the service goods shelf acquisition module is used for acquiring information of the service goods shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
the first data acquisition module is used for acquiring a parameter value corresponding to the target service object under the condition that the database has service main data corresponding to the target vehicle service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
the hierarchical frame searching module is used for searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
a hierarchy frame operation module for acquiring the existing hierarchy frame and adding the proprietary business object to the existing hierarchy frame when the existing hierarchy frame exists;
the association module is used for associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
And the construction module is used for generating a sub knowledge base corresponding to the business shelf information based on the target level framework.
Optionally, the association module includes:
a first model determination submodule for determining a corresponding first target data model according to the general main data tag
A first subject determination submodule for calling a first knowledge topic corresponding to the first target data model based on the first target data model;
the first parameter acquisition module is used for acquiring parameter values corresponding to the general main data labels from a data pool through the first knowledge theme;
a first association sub-module for associating the parameter value with the generic master data tag in the hierarchical framework.
Optionally, the association module includes:
and the parameter receiving sub-module is used for receiving the parameter value input for the special service object and associating the parameter value with the special service object.
Optionally, after the hierarchical frame operation module, the method further includes:
a proprietary tag adding module, configured to add a proprietary tag to the existing hierarchical frame when the at least one target knowledge tag includes a proprietary tag other than the generic main data tag;
The association module comprises:
a second determining sub-module for determining a corresponding second target data model according to the proprietary tag
A second subject determination submodule for calling a second knowledge topic corresponding to the second target data model based on the second target data model;
the second parameter determining submodule is used for acquiring parameter values corresponding to the special tags from the data pool through the second knowledge subject;
a second sub-association module for associating the parameter value with the proprietary tag in the hierarchical framework.
Optionally, after the service shelf obtaining module, the service shelf obtaining module further includes:
and the main data creation module is used for creating the business main data corresponding to the business shelf information to be created under the condition that the database does not have the business main data corresponding to the shelf name.
Optionally, after the hierarchical frame searching module, the method further includes:
and the hierarchical frame creation module is used for creating a corresponding new hierarchical frame based on the vehicle service object and the universal main data tag in the condition that the existing hierarchical frame does not exist.
Optionally, after building the module, the method further includes:
And the pushing module is used for pushing the data matched with the user tag in the sub knowledge base to the user according to the user tag corresponding to the user.
In summary, the embodiment of the present application provides a knowledge base generating method, which may set corresponding tags for various kinds of knowledge in a data pool, then may select a target knowledge tag for a developer according to requirements for a target vehicle service object, then may determine that there is corresponding service main data in a database based on the target vehicle service object, further may determine reusable general main data tags based on the target knowledge tags, then may search for reusable existing hierarchical frames based on the vehicle service object and the general main data tags, then may construct a new target hierarchical frame corresponding to the target vehicle service object under the existing hierarchical frame, then may construct a sub-knowledge base based on the target hierarchical frame, and then may perform related operations based on the sub-knowledge base by other personnel.
The embodiment of the application also provides a readable storage medium, and when the instructions in the readable storage medium are executed by a processor of the whole vehicle controller, the whole vehicle controller can execute the vehicle power supply method.
The embodiment of the application also provides a vehicle, which comprises the whole vehicle controller.
Referring to fig. 5, an embodiment of the present application provides an electronic device 501, including a memory 502, a processor 503, and a computer program stored in the memory 502 and executable on the processor 503, where the processor 503 executes the computer program to implement the steps of the method according to any one of the above.
An embodiment of the present application provides a computer-readable storage medium, characterized in that: the computer readable storage medium has stored thereon a program which, when executed by a processor, performs the steps of the method described in any of the above, has the beneficial effects of the method described in any of the above.
The computer readable storage medium provided by the embodiment of the application realizes the steps of the method described in any one of the above when the processor executes the program, so that a plurality of sub-knowledge bases of different vehicle research and development services can be systematically generated, and further, the data of each vehicle research and development service is uniformly managed, and the cost of data management and application is reduced.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing apparatus embodiments, and are not repeated herein.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. A knowledge base generation method, comprising:
acquiring information of a business shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
under the condition that the database is provided with the service main data corresponding to the target vehicle service object, acquiring a parameter value corresponding to the target service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
obtaining the existing hierarchical frame and adding the proprietary business object to the existing hierarchical frame if the existing hierarchical frame exists;
associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
and generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical frame.
2. The method of claim 1, wherein associating the added nodes in the existing hierarchical framework with corresponding parameter values comprises:
Determining a corresponding first target data model according to the universal main data tag
Invoking a first knowledge topic corresponding to the first target data model based on the first target data model;
acquiring a parameter value corresponding to the universal main data tag from a data pool through the first knowledge theme;
the parameter values are associated with the generic master data tags in the hierarchical framework.
3. The method of claim 1, wherein associating the added nodes in the existing hierarchical framework with corresponding parameter values comprises:
a parameter value entered for the proprietary business object is received and associated with the proprietary business object.
4. The method of claim 1, further comprising, after said looking up a corresponding existing hierarchical frame in a database based on said vehicle service object and said generic master data tag:
adding the proprietary tag to the existing hierarchical framework in the case that the proprietary tag other than the generic main data tag is included in the at least one target knowledge tag;
the associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame includes:
Determining a corresponding second target data model according to the special tag;
invoking a second knowledge topic corresponding to the second target data model based on the second target data model;
acquiring parameter values corresponding to the proprietary tags from a data pool through the second knowledge theme;
the parameter value is associated with the proprietary tag in the hierarchical framework.
5. The method of claim 1, wherein after the obtaining the service shelf information to be created, further comprising:
and under the condition that the database does not have the business master data corresponding to the shelf name, creating the business master data corresponding to the business shelf information to be created.
6. The method of claim 1, wherein the searching the database for the corresponding existing hierarchical frame based on the vehicle service object and the generic master data tag further comprises:
in the absence of the existing hierarchical frame, a corresponding new hierarchical frame is created based on the vehicle business object and the generic master data tag.
7. The method of claim 1, further comprising, after generating a sub-knowledge base corresponding to the business shelf information based on the target tier framework:
And pushing the data matched with the user tag in the sub knowledge base to the user according to the user tag corresponding to the user.
8. A knowledge base generation apparatus, comprising:
the service goods shelf acquisition module is used for acquiring information of the service goods shelf to be created; the vehicle service shelf information to be created comprises a target vehicle service object and at least one target knowledge tag;
the first data acquisition module is used for acquiring a parameter value corresponding to the target service object under the condition that the database has service main data corresponding to the target vehicle service object, determining a general main data tag in the target knowledge tag according to the matching of the target knowledge tag and the existing general knowledge tag in the database, and acquiring a special service object;
the hierarchical frame searching module is used for searching a corresponding existing hierarchical frame in a database based on the vehicle service object and the general main data tag;
a hierarchy frame operation module for acquiring the existing hierarchy frame and adding the proprietary business object to the existing hierarchy frame when the existing hierarchy frame exists;
The association module is used for associating the added nodes in the existing hierarchical frame with corresponding parameter values to obtain a target hierarchical frame;
and the construction module is used for generating a sub knowledge base corresponding to the business shelf information based on the target level framework.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, characterized in that it has stored thereon a program which, when executed by a processor, implements the steps of the method according to any of claims 1-7.
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| CN117435555B (en) * | 2023-12-20 | 2024-03-12 | 杭州硕磐智能科技有限公司 | Main data management method, platform, server and storage medium |
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