CN113792137A - Middle research and development material retrieval method, system, intelligent terminal and storage medium - Google Patents
Middle research and development material retrieval method, system, intelligent terminal and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a system for searching a middle research and development material, an intelligent terminal and a storage medium. The middle research and development material retrieval method comprises the following steps: scanning a material packet to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data; constructing a middle station graph according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one knowledge node and the connection relation; and acquiring a search condition input by a user, and acquiring corresponding target information from the Zhongtai atlas according to the search condition. The invention can effectively improve the working efficiency.
Description
Technical Field
The invention relates to the field of knowledge maps, in particular to a method and a system for searching a middle research and development material, an intelligent terminal and a storage medium.
Background
The middle platform is a gathering center, a data asset conversion center and a data value mining center of various data resources, and meets the requirements of transversely crossing the major and longitudinally different levels of data sharing, analysis mining and communication. With the gradual deepening and development of the middle station application, a large amount of data generated at every moment needs to be managed through the middle station.
Due to the reasons of data dispersion, multiple data types, non-uniform data formats and the like, the efficiency of data reading and data management of the central station is low, and the relationship among the data is numerous and complicated, so that a user cannot quickly acquire target information, or the acquired target information is not comprehensive and inaccurate, thereby seriously affecting the working efficiency of the user.
Disclosure of Invention
The invention aims to solve the technical problems that target information cannot be quickly acquired or acquired target information is incomplete, and provides a method, a system, a terminal and a medium for searching middle research and development materials aiming at the defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: the method for searching the research and development materials of the middle platform comprises the following steps: scanning a material packet to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data; constructing a middle station graph according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one knowledge node and the connection relation; and acquiring a search condition input by a user, and acquiring corresponding target information from the Zhongtai atlas according to the search condition.
Wherein the at least one knowledge node comprises at least one key node; the search condition comprises one of the key nodes; the step of obtaining corresponding target information from the Zhongtai atlas according to the search condition comprises the following steps: and taking the key node included in the search condition as an entry, indexing to the rest key nodes through the at least one associated link, and acquiring the target information taking the key node included in the search condition as a center and the rest key nodes as boundaries.
Wherein the at least one knowledge node comprises: at least one of a domain, an entity, a capability, an interface, an application, a page, a configuration item, a function package, a front-end function package, a back-end function package, a data transmission object, and a scene; the connection relationship includes: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, expose; the at least one key node comprises at least one of a domain, a function package, a scene, and an application.
Wherein, after the step of obtaining the target information with the key node included in the search condition as the center and the remaining key nodes as the boundaries, the method includes: and generating an information table according to the target information, wherein the information table is used for counting the relation data of the key nodes included in the search condition.
Wherein the step of presenting the knowledge node data in the form of at least one knowledge node comprises: acquiring node detailed introduction and simple introduction of each knowledge node according to the knowledge node data, and displaying the simple introduction in a card form; and displaying the detailed node introduction in a document form according to a display instruction of a user.
Wherein, before the step of displaying the simple introduction in card form, the method comprises: and acquiring a modification instruction of a user, and changing the display template in the card form in real time according to the modification instruction.
Before the step of scanning the material package to be processed to obtain the target resource file, the method comprises the following steps: and annotating the codes of the target resource file according to a preset business rule.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a middlebox research and development material retrieval system, including: the system comprises a scanning module, a data processing module and a data processing module, wherein the scanning module is used for scanning a material package to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data; the map module is used for constructing a middle station map according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one node and the connection relation; and the information module is used for acquiring a search condition input by a user and acquiring corresponding target information from the Zhongtai atlas according to the search condition.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a smart device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the method as described above.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the method as described above.
Compared with the prior art, the method has the advantages that the target resource file is obtained by scanning the material bag to be processed, and the target resource file is analyzed to obtain knowledge node data and node relation data; the method comprises the steps of constructing a middle platform map according to knowledge node data and relationship data, displaying the knowledge nodes in the form of at least one knowledge node, obtaining search conditions input by a user, obtaining corresponding target information from the middle platform map according to the search conditions, achieving accurate and comprehensive retrieval of middle platform research and development materials, automatically updating documents of the middle platform research and development materials, effectively improving data management and sorting efficiency, and effectively improving working efficiency.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic flow chart of an embodiment of a search method for research and development materials of a middlebox provided by the present invention;
FIG. 2 is a schematic diagram of one embodiment of a midrange atlas provided in the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of a middle research and development material retrieval system provided by the present invention;
FIG. 4 is a schematic structural diagram of an embodiment of an intelligent device provided by the present invention;
fig. 5 is a schematic structural diagram of an embodiment of a storage medium provided in the present invention.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a search method for a middle research and development material provided by the present invention. The invention provides a Chinese research and development material retrieval method which comprises the following steps:
s101: scanning the material packet to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data.
In a specific implementation scenario, a material package to be processed is scanned to obtain a target resource file. The to-be-processed material package can be prepared in advance by a user, or updated or uploaded additionally. The material package to be processed comprises a target resource file. The files in the material bags to be processed can be read and identified, and the target resource files in the files can be obtained. And analyzing the target resource file to obtain knowledge node data and node relation data. In the implementation scenario, a Maven plugin is used to scan codes of a material bag to be processed in a compiling period to obtain a resource file, and a target resource file is uploaded to a research and development boring warehouse. The knowledge node data and the node relation data are analyzed through a research and development material warehouse (xMarket), and in other implementation scenarios, the knowledge node data and the node relation data can be obtained through other tools or methods. In other implementation scenarios, a material warehouse is developed to perform formatted aggregation and distribution on a target resource file, and an mq message queue is used to notify a middle-desk map update data, so that the middle-desk map data is updated.
In other implementation scenarios, before the step of obtaining the target resource file, the code of the target resource file is annotated according to the preset business rule. Therefore, when scanning is carried out, the target resource file can be obtained according to the annotation, and further, knowledge node data and node relation data can be obtained according to the annotation. The annotation operation can be performed by a developer, and the annotation can be performed automatically according to a preset program. The knowledge node data and node relationship data in the target resource file may be annotated, and when a file including the annotation is scanned, the file is taken as the target resource file.
Specifically, at least one knowledge node included in the knowledge graph to be drawn and the connection relationship between the knowledge nodes may be obtained in advance, and the knowledge node data and the node relationship data may be obtained by performing retrieval in the target resource file according to the at least one knowledge node and the connection relationship. For example, it may be that whether or not there is data to which a comment of a knowledge node and a connection relation is marked is searched, and if so, the knowledge node data and the node relation data are acquired from the comment.
In one implementation scenario, the node relationship data is obtained according to the relationship between knowledge node data in the target resource file, for example, if the knowledge node data of the "data transmission object" and the knowledge node data of the "entity" are obtained in the target resource file as an associated relationship, the obtained node relationship data is "data transmission object" associated "entity". In other implementation scenarios, the node relationship data is fixed, that is, the "data transmission object" association "entity" is known, only the "data transmission object" knowledge node data and the "entity" knowledge node data need to be parsed according to the target resource file, and the relationship between the two knowledge node data is "association" by default.
S102: and constructing a middle station graph according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one knowledge node and the connection relation.
In a specific implementation scenario, please refer to fig. 2 in combination, and fig. 2 is a schematic diagram of an embodiment of a middle station atlas provided in the present invention. As shown in fig. 2, the middlebox graph displays knowledge node data in the form of at least one knowledge node, and at least one knowledge node generates a connection relationship according to relationship data. In the present implementation scenario, the knowledge node data and the relationship data between them are stored based on a Neo4j graph database.
In this implementation scenario, the knowledge node data includes knowledge node data corresponding to a plurality of knowledge nodes. For example, data associated with an "order" such as the transaction amount of the order, a transaction list of the order, a transaction location of the order, a payment method of the order, a number of the order, a formation time of the order, and the like. Data relating to a "trading mall," such as a website address for a mall trade, a name of a trading mall, and so forth. When the annotation is performed in step S101, only the data may be annotated as knowledge node data, or a specific related node name of the data may be annotated. Therefore, in this step, the knowledge node data corresponding to each knowledge node may be directly obtained according to the annotation, or after the knowledge node data is obtained, the knowledge node data may be analyzed or analyzed to obtain the knowledge node data corresponding to each knowledge node.
In other implementation scenarios, at least one knowledge node type in the built middle station graph may be obtained in advance, and data content matching at least one knowledge node is obtained from knowledge node data according to the at least one knowledge node type, for example, the knowledge node data matching the "entity" node type is knowledge node data of "order", and then the knowledge node data of "order" is sorted to be used as related data of the "entity" node type.
In one implementation scenario, each knowledge node type may acquire data content matched with the corresponding knowledge node, and in other implementation scenarios, only some knowledge node types may acquire data content matched with the corresponding knowledge node. And if the data content of which the part of the knowledge node types do not have the corresponding knowledge node matching exists, replacing the part of the data with a preset value so as to maintain the integrity of the middle station atlas and the integrity of each associated link. The preset value may be a value obtained through a big data statistical analysis or set according to actual experience of a user.
In one implementation scenario, the at least one knowledge node includes at least one key node, and the at least one key node is a boundary of the middle stage knowledge graph, and the key node may be pre-specified according to fig. 2 or selected from the at least one knowledge node according to the node relation data. For example, a knowledge node is selected that has only one-way relationships with other knowledge nodes, further, the one-way relationships may be outward-type relationships (i.e., arrow-out relationships shown in FIG. 2). For example, the "function package" knowledge node in FIG. 2 has only an outward type relationship with other knowledge nodes. And taking the knowledge node of the 'function package' as a key node.
In one implementation scenario, as shown in fig. 2, the at least one knowledge node comprises: at least one of a domain, an entity, a capability, an interface, an application, a page, a configuration item, a function package, a front-end function package, a back-end function package, a data transmission object, and a scene; the connection relation includes: including, providing, relying on, combining, referencing, implementing, invoking, revealing at least one. At least one key node comprises a field, a function package, a scene and an application.
Where a "domain" knowledge node is used to define the scope of a service where service entities are all related to the domain. For example, a "domain" may be a goods domain, a transaction domain, a user domain, and so forth. An "entity" knowledge node is used to describe a thing or concept that is definable within a system, such as a person/role (e.g., a student), an object (e.g., an invoice), a concept (e.g., a brief introduction), or an event (e.g., a transaction). In a database, an entity is often a collection of things of a certain type, the entity is associated with data transmission objects, and an individual of each type of data transmission object is an entity and is classified as an "entity" knowledge node. The 'capability' knowledge node is used for describing an implementation method implemented through an interface (API) and used for completing certain functions in a specific scene. One capability may support multiple functions. The basis for the capabilities is the structure and algorithms. The ability is an embodiment of an endogenous mechanism of the system. In different scenarios, capabilities may be indirectly manifested as different functions. An "interface" knowledge node is used to describe an interface (e.g., a function, an HTTP interface), or to refer to a convention for the joining of different components of a software system. An "application" knowledge node is used to provide a particular user with an instance of a solution to a particular problem in a particular scenario.
The 'page' knowledge node is used for describing an information medium of interaction between a user and the system and is formed by combining elements such as menus, buttons, blocks and the like. Is one of the concrete display forms of the resources in the knowledge node of the front-end function package. The content of the knowledge node of the configuration item is provided by a back-end function package, and the operation parameters of the capability are set according to the service requirement, so that the service operates according to a specific rule. The "function package" knowledge node is used for solving the relevant capabilities, configuration items, codes and the like of a certain scene or certain scenes, and is combined together for management, development and installation to be called as a function package. The method is divided into a front-end function packet and a back-end function packet, wherein the front-end function packet mainly provides resources and function combinations related to front-end implementation, and the back-end function packet mainly provides service combinations related to back-end capability. The "data transfer object" knowledge node is used to encapsulate and send data from one subsystem of an application to an object of another subsystem. The "scene" knowledge node is used to describe a general term of actions of a user to accomplish a certain business objective in a specific space and time.
In one implementation scenario, node detailed descriptions (e.g., API documents, capability descriptions, scenario details, configuration item detailed parameters, etc.) and simple descriptions (e.g., material names, version information, update/maintenance information, etc.) for each knowledge node are obtained from knowledge node data, and the simple descriptions are displayed in card form. For example, when displaying the middle atlas, a simple introduction for each knowledge node may be displayed in the form of floating cards near the respective knowledge node. Or when the user's mouse hovers over a knowledge node, the simple introduction is displayed in the form of a card. And displaying the detailed node introduction in a document form according to a display instruction of a user. For example, a user may double-click on a knowledge node in the middlebox graph, displaying a node specification for the knowledge node in the form of a document. Or the user may input the display instruction by voice, gesture, or other means. For example, the user can pronounce the name of the knowledge node to be displayed through voice online or offline, and the detailed introduction of the node corresponding to the displayed knowledge node is performed. Or the user can select the knowledge node to be displayed through a preset gesture on line or off line, and the detailed introduction of the node corresponding to the selected knowledge node is displayed. In the implementation scenario, a front-end interaction experience is built based on the G6 graph visualization technology.
Further, the user can manage and modify the display template in the form of a card, including the font size of the display, whether to highlight or desensitize some of the contents, and the order of arrangement of the data items in the brief introduction. And acquiring a modification instruction of a user, and changing the simply introduced card-form display template in real time according to the modification instruction. In other implementation scenarios, a plurality of display templates may be preset, and a user may change the simply introduced display template of each knowledge node in the central map in real time by switching the display templates, and may also designate one or more knowledge nodes and change the simply introduced display template of the designated knowledge node in real time. In other implementation scenarios, the template introduced in detail by the node may also be modified or switched, which is basically the same as the modification or switching introduced simply, and is not described herein again.
In the scenario shown in fig. 2, at least one knowledge node constitutes at least one associative link through a connection relationship. For example, an associated link includes at least two knowledge nodes, for example, a "function package" knowledge node and a "scenario" knowledge node, and a "capability" knowledge node forms an associated link through a "contained" connection relationship.
In the implementation scenario shown in fig. 2, a knowledge node is named by its type, and in other implementation scenarios, the knowledge node may be named according to the content of the knowledge node data corresponding to the knowledge node. For example, a knowledge node describes a "drop" scenario, then the knowledge node is named "drop", or "scenario".
S103: and acquiring a search condition input by a user, and acquiring corresponding target information from the Zhongtai atlas according to the search condition.
In a specific implementation scenario, a search condition input by a user is obtained, and corresponding target information is obtained from a Zhongtai atlas according to the search condition. The search criteria includes at least one of a type and a name of the knowledge node. For example, if the type of the knowledge node is "scene", or the name of the knowledge node is "order", the target information is searched for according to the acquired search condition ("order" scene).
For example, the user searches for an "order placing" scenario, that is, can retrieve and extract research and development material information of series such as a submitted order (capability), an order query parameter (data transmission object), an order (entity), an order query (interface), whether invoicing data (configuration item) is required, a basic transaction function package (function package), a basic transaction back-end function package (back-end function package), a list page (page), a basic transaction front-end function package (front-end function package), a full-channel transaction mall (application) and the like associated with the "order placing" scenario, and a connection relationship therebetween.
Further, the user may not need to obtain all the contents related to the knowledge node in the search condition in the entire middle station graph, for example, only need to obtain the related information of the knowledge node of the "front-end function package" type, and then the search condition may include the type or name of the target knowledge node, for example, include the "front-end function package" or the "basic transaction front-end function package", and then display the development material information of the basic transaction front-end function package (front-end function package) according to the search condition. For another example, only the development material information of the knowledge node directly related to the "scene" knowledge node and the connection relationship between the development material information and the knowledge node need to be acquired.
In one implementation scenario, the search criteria include a key node, e.g., a "scenario" knowledge node. The key nodes (such as 'scene' knowledge nodes) included in the search condition are used as an entrance, the key nodes are indexed to the rest key nodes through at least one associated link, and target information which is centered on the key nodes included in the search condition and is bounded by the rest key nodes (such as 'application' knowledge nodes, 'scene' knowledge nodes and 'field' knowledge nodes) is obtained.
Further, an information table is generated according to the target information, and the information table is used for counting the relation data of the key nodes included in the search condition. And the target information data is counted and displayed in the form of an information table, so that a user can conveniently look up the document.
In an implementation scenario, by implementing the method of the embodiment, authoring/updating of material documents can be completed while codes are produced/updated, workload of post-maintenance is reduced, operation cost of enterprises is reduced, and the enterprises are helped to produce and manage knowledge data of the middleboxes more efficiently and more automatically.
In an implementation scenario, by implementing the method of the embodiment, a personalized middle platform atlas can be delivered according to the middle platform material purchased by a customer as required, so that the PaaS platform value of an enterprise is improved.
In an implementation scenario, by implementing the method of the embodiment, a project developer can be helped to quickly master a landing mode of a function/scenario, required materials and a use method of the materials, so that development results are quickly delivered.
In an implementation scenario, by implementing the method of the embodiment, an association relationship between documents can be established, and a project decision maker is helped to check and acquire material data more timely and conveniently from a global perspective, so that the requirement goodness of fit and the complexity of development work can be judged quickly.
In an implementation scenario, by implementing the method of the embodiment, business personnel can be helped to show the enterprise middle station capability in a graphical structured form, so that the business personnel can intuitively introduce the business middle station capability to the client, for example, what the middle station can do in other cases, how the business is layered, how many solutions and landing cases exist, and the like.
As can be seen from the above description, in this embodiment, a to-be-processed material package is scanned to obtain a target resource file, and the target resource file is analyzed to obtain knowledge node data and node relationship data; the method comprises the steps of constructing a middle platform map according to knowledge node data and relationship data, displaying the knowledge nodes in the form of at least one knowledge node, obtaining search conditions input by a user, obtaining corresponding target information from the middle platform map according to the search conditions, achieving accurate and comprehensive retrieval of middle platform research and development materials, automatically updating documents of the middle platform research and development materials, effectively improving data management and sorting efficiency, and effectively improving working efficiency.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a middle research and development material retrieval system provided by the present invention. The middle research and development material retrieval system 10 includes: a scanning module 11, a map module 12 and an information module 13.
The scanning module 11 is configured to scan the to-be-processed material package to obtain a target resource file, and perform synchronous analysis on the target resource file to obtain knowledge node data and node relationship data. The graph module 12 is configured to construct a middle station graph according to the knowledge node data and the relationship data, display the knowledge node data in the form of at least one knowledge node, generate a connection relationship between the at least one knowledge node according to the relationship data, and form at least one association link according to the at least one node and the connection relationship. The information module 13 is configured to obtain a search condition input by a user, and obtain corresponding target information from the Zhongtai atlas according to the search condition.
Wherein the at least one knowledge node comprises at least one key node; the search criteria include a key node. The information module 13 is further configured to index to the remaining key nodes through at least one associated link by using the key nodes included in the search condition as an entry, and acquire target information centered on the key nodes included in the search condition and bounded by the remaining key nodes.
Wherein the at least one knowledge node comprises: at least one of a domain, an entity, a capability, an interface, an application, a page, a configuration item, a feature pack, a front-end feature pack, a back-end feature pack, a data transmission object, a scene. The connection relation includes: include, provide, rely on, combine, reference, associate, implement, invoke, expose at least one of. The at least one key node comprises at least one of a domain, a function package, a scenario, and an application.
The information module 13 is further configured to generate an information table according to the target information, where the information table is used to count the relationship data of the key nodes included in the search condition.
The map module 12 is used for acquiring detailed node introduction and simple introduction of each knowledge node according to the knowledge node data, and displaying the simple introduction in a card form; and displaying the detailed node introduction in a document form according to a display instruction of a user.
The map module 12 is used for acquiring a modification instruction of a user and modifying the display template in the form of a card in real time according to the modification instruction.
The scanning module 11 is further configured to annotate the code of the target resource file according to a preset business rule.
As can be seen from the above description, in this embodiment, the research and development material retrieval system scans the to-be-processed material package to obtain the target resource file, and analyzes the target resource file to obtain the knowledge node data and the node relationship data; the method comprises the steps of constructing a middle platform map according to knowledge node data and relationship data, displaying the knowledge nodes in the form of at least one knowledge node, obtaining search conditions input by a user, obtaining corresponding target information from the middle platform map according to the search conditions, achieving accurate and comprehensive retrieval of middle platform research and development materials, automatically updating documents of the middle platform research and development materials, and effectively improving working efficiency.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of an intelligent device provided in the present invention. The smart device 20 includes a processor 21, a memory 22, and an acquisition circuit 23. Processor 21 is coupled to memory 22 and acquisition circuit 23. The memory 22 has stored therein a computer program which is executed by the processor 21 in operation to implement the method as shown in fig. 1. The detailed methods can be referred to above and are not described herein.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a storage medium according to an embodiment of the present invention. The storage medium 30 stores at least one computer program 31, and the computer program 31 is used for being executed by a processor to implement the method shown in fig. 1, and the detailed method can be referred to above and is not described herein again. In one embodiment, the computer readable storage medium 30 may be a memory chip in a terminal, a hard disk, or other readable and writable storage tool such as a removable hard disk, a flash disk, an optical disk, or the like, and may also be a server or the like.
It should be noted that, the above-mentioned middle research and development material retrieval method, system, intelligent terminal and storage medium belong to a general inventive concept, and the contents in the embodiments of the adaptive hearing compensation method, apparatus, device and computer-readable storage medium are mutually applicable.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A middle research and development material retrieval method is characterized by comprising the following steps:
scanning a material packet to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data;
constructing a middle station graph according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one knowledge node and the connection relation;
and acquiring a search condition input by a user, and acquiring corresponding target information from the Zhongtai atlas according to the search condition.
2. The middlebox research and development material retrieval method of claim 1, wherein the at least one knowledge node comprises at least one key node; the search condition comprises one of the key nodes;
the step of obtaining corresponding target information from the Zhongtai atlas according to the search condition comprises the following steps:
and taking the key node included in the search condition as an entry, indexing to the rest key nodes through the at least one associated link, and acquiring the target information taking the key node included in the search condition as a center and the rest key nodes as boundaries.
3. The middle stage development material retrieval method according to claim 2, wherein the at least one knowledge node includes: at least one of a domain, an entity, a capability, an interface, an application page, a configuration item, a function package, a front-end function package, a back-end function package, a data transmission object, and a scene;
the connection relationship includes: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, expose;
the at least one key node comprises at least one of a domain, a function package, a scene, and an application.
4. The method according to claim 2, wherein the step of obtaining the target information centered on a key node included in the search condition and bounded by the remaining key nodes is followed by:
and generating an information table according to the target information, wherein the information table is used for counting the relation data of the key nodes included in the search condition.
5. The middle stage research and development material retrieval method according to claim 1, wherein the step of presenting the knowledge node data in the form of at least one knowledge node comprises:
acquiring node detailed introduction and simple introduction of each knowledge node according to the knowledge node data, and displaying the simple introduction in a card form;
and displaying the detailed node introduction in a document form according to a display instruction of a user.
6. The middle stage research and development material retrieval method according to claim 5, wherein the step of displaying the simple introduction in the form of a card is preceded by the steps of:
and acquiring a modification instruction of a user, and changing the display template in the card form in real time according to the modification instruction.
7. The middle station research and development material retrieval method according to claim 1, wherein before the step of scanning the material package to be processed to obtain the target resource file, the method comprises:
and annotating the codes of the target resource file according to a preset business rule.
8. A middlebox research and development material retrieval system, comprising:
the system comprises a scanning module, a data processing module and a data processing module, wherein the scanning module is used for scanning a material package to be processed to obtain a target resource file, and synchronously analyzing the target resource file to obtain knowledge node data and node relation data;
the map module is used for constructing a middle station map according to the knowledge node data and the relation data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relation between the at least one knowledge node according to the relation data, and forming at least one association link according to the at least one node and the connection relation;
and the information module is used for acquiring a search condition input by a user and acquiring corresponding target information from the Zhongtai atlas according to the search condition.
9. An intelligent device, comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method of any one of claims 1 to 7.
10. A storage medium, characterized in that a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
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