CN113792137B - Method, system, intelligent terminal and storage medium for searching middle-stage research and development materials - Google Patents
Method, system, intelligent terminal and storage medium for searching middle-stage research and development materials Download PDFInfo
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Abstract
The invention discloses a method, a system, an intelligent terminal and a storage medium for searching a middle-stage research and development material. 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 stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one knowledge node and the connection relationship; and acquiring search conditions input by a user, and acquiring corresponding target information from the middle map according to the search conditions. 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-stage research and development material, an intelligent terminal and a storage medium.
Background
The middle platform is a convergence center, a data asset conversion center and a data value mining center of various data resources, and meets the requirements of data sharing, analysis mining and fusion of different levels transversely across professions and longitudinally. With the progressive penetration and development of the applications of the intermediate stations, the generation of large amounts of data at all times requires management by the intermediate stations.
Due to the reasons of data dispersion, multiple data types, non-uniform data formats and the like, the efficiency of medium-stage data reading and data management is low, and the relation among all data is numerous, so that a user cannot quickly acquire target information, or the acquired target information is incomplete and inaccurate, and the working efficiency of the user is seriously influenced.
Disclosure of Invention
The invention aims to solve the technical problems that target information cannot be acquired quickly or the acquired target information is incomplete, and provides a middle research and development material retrieval method, a system, a terminal and a medium aiming at the defects in the prior art.
The technical scheme adopted for solving the technical problems is as follows: the method for searching the middle-stage research and development materials 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 stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one knowledge node and the connection relationship; and acquiring search conditions input by a user, and acquiring corresponding target information from the middle table map according to the search conditions.
Wherein the at least one knowledge node comprises at least one key node; the search condition comprises one key node; the step of obtaining corresponding target information from the middle stage map according to the search condition comprises the following steps: and taking the key nodes included in the search condition as entries, indexing to the rest of the key nodes through the at least one associated link, and acquiring the target information taking the key nodes included in the search condition as centers and taking the rest of the 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 relation includes: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, reveal; the at least one key node comprises at least one of a domain, a feature package, a scene, and an application.
The step of obtaining the target information centering on the key node included in the search condition and bordering the rest of the key nodes 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 description and simple description of each knowledge node according to the knowledge node data, and displaying the simple description in a card form; and displaying the detailed description of the node in a document form according to a display instruction of a user.
Wherein before the step of displaying the simple introduction in the form of a card, the method comprises: and acquiring a modification instruction of a user, and changing the display template in the form of the card 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: annotating the codes of the target resource file according to a preset business rule.
The technical scheme adopted for solving the technical problems is as follows: there is provided a mid-table development material retrieval system comprising: the scanning module is used for 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; the map module is used for constructing a middle stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one at least node and the connection relationship; and the information module is used for acquiring search conditions input by a user and acquiring corresponding target information from the middle table map according to the search conditions.
The technical scheme adopted 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 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 method obtains the target resource file by scanning the material package to be processed, and analyzes the target resource file to obtain knowledge node data and node relation data; according to the knowledge node data and the relation data, a middle map is constructed, the knowledge node data is displayed in the form of at least one knowledge node, search conditions input by a user are acquired, corresponding target information is acquired from the middle map according to the search conditions, accurate and comprehensive retrieval of middle research and development materials can be achieved, documents of the middle research and development materials are automatically updated, data management and arrangement efficiency is effectively improved, and work efficiency is effectively improved.
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 method for searching materials in a middle-stage research and development system according to the present invention;
FIG. 2 is a schematic diagram of an embodiment of a middle stage map provided by the present invention;
FIG. 3 is a schematic diagram of an embodiment of a middle research and development material retrieval system according to the present invention;
FIG. 4 is a schematic diagram of an embodiment of a smart device according to the present invention;
fig. 5 is a schematic structural diagram of an embodiment of a storage medium according to the present invention.
Detailed Description
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 flowchart of an embodiment of a method for searching a middle-stage research and development material according to the present invention. The method for searching the middle-stage research and development materials provided by the invention comprises the following steps:
s101: and scanning the 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.
In a specific implementation scenario, a material package to be processed is scanned, and a target resource file is obtained. The material package to be processed can be prepared in advance by a user, updated or additionally uploaded. The material package to be processed comprises a target resource file. The method can read and identify the files in the material package to be processed to obtain the target resource files therein. And analyzing the target resource file to obtain knowledge node data and node relation data. In the implementation scene, a Maven plug-in is used for scanning codes of the material package to be processed in the compiling period to obtain resource files, and the target resource files are uploaded to a research and development material warehouse. Knowledge node data and node relation data are analyzed through a research and development material warehouse (xMarket), and in other implementation scenes, the knowledge node data and the node relation data can be obtained through other tools or methods. In other implementation scenarios, the target resource file is aggregated and distributed in a format by developing a material warehouse, and the mid-table map update data is notified by using the mq message queue, so that the update of the mid-table map data is realized.
In other implementations, before the step of obtaining the target resource file, the code of the target resource file is annotated according to a preset business rule. In this way, the target resource file can be obtained according to the annotation when scanning is performed, and further, the knowledge node data and the node relation data can be obtained according to the annotation. The annotation operation can be performed by a developer or automatically according to a preset program. Knowledge node data and node relationship data in the target resource file can be annotated, and when a file comprising 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 relation between the knowledge nodes can be obtained in advance, and the knowledge node data and the node relation data can be obtained by searching in the target resource file according to the at least one knowledge node and the connection relation. For example, it is possible to retrieve data of whether or not there is a comment labeled with a knowledge node and a connection relationship, and if so, acquire knowledge node data and node relationship data based on the comment.
In one implementation scenario, the node relationship data is obtained according to a relationship between knowledge node data in the target resource file, for example, when the knowledge node data of the "data transmission object" and the knowledge node data of the "entity" are obtained in the target resource file and are related, the obtained node relationship data is "the data transmission object" related to the "entity". In other implementation scenarios, the node relationship data is fixed, that is, the "data transmission object" associated "entity" is known, and 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 "associated" by default.
S102: constructing a middle stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one knowledge node and the connection relationship.
In a specific implementation scenario, please refer to fig. 2 in combination, fig. 2 is a schematic diagram of an embodiment of a middle stage map provided in the present invention. As shown in fig. 2, the middle stage atlas presents knowledge node data in the form of at least one knowledge node, and connection relations are generated between the at least one knowledge node according to the relation data. In the present implementation scenario, knowledge node data and 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 related to "orders" such as the trade amount of the order, the trade list of the order, the trade location of the order, the payment method of the order, the number of the order, the time of formation of the order, and the like. Data related to "trade malls," such as the website of the mall trade, the name of the trade mall, etc. In the annotation in step S101, only the data may be labeled as knowledge node data, or a specific related node name of the data may be labeled. Therefore, in this step, knowledge node data corresponding to each knowledge node may be directly obtained according to the annotation, or after knowledge node data is obtained, the knowledge node data may be analyzed or parsed to obtain knowledge node data corresponding to each knowledge node.
In other implementation scenarios, at least one knowledge node type in the constructed middle stage map may be obtained in advance, and data content matched with at least one knowledge node is obtained from knowledge node data according to the at least one knowledge node type, for example, knowledge node data matched with an "entity" node type is knowledge node data of an "order", and then the knowledge node data of the "order" is sorted and used as relevant data of the "entity" node type.
In one implementation scenario, each knowledge node type can obtain the data content matched with the corresponding knowledge node, and in other implementation scenarios, only part of knowledge node types can obtain the data content matched with the corresponding knowledge node. If the data content of which the knowledge node type does not match with the corresponding knowledge node exists, replacing the data of the part with a preset value so as to maintain the integrity of the middle station map and the integrity of each associated link. The preset value may be a value obtained through big data statistical analysis or set according to actual experience of the user.
In one implementation scenario, the at least one knowledge node includes at least one key node that is a boundary of the middle knowledge-graph, and the key node may be pre-specified according to the illustration of fig. 2 or selected from the at least one knowledge node according to the node relationship data. For example, a knowledge node is selected that has only one-way relationships with other knowledge nodes, and further, the one-way relationships may be outward-facing relationships (i.e., the arrow-outward-facing relationships shown in FIG. 2). For example, the "function package" knowledge nodes in FIG. 2 have only outward-oriented relationships with other knowledge nodes. The "functional package" knowledge node is used as a key node.
In one implementation scenario, as shown in fig. 2, 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: at least one of contain, provide, rely on, combine, reference associate, implement, invoke, expose. At least one key node includes a domain, a feature package, a scene, an application.
Wherein a "domain" knowledge node is used to define a scope of services in which service entities are associated with the domain. For example, "domain" may be a commodity domain, a transaction domain, a user domain, and so on. An "entity" knowledge node is used to describe things or concepts that are definable within a system, such as a person/character (e.g., a student), an object (e.g., an invoice), a concept (e.g., a profile), or an event (e.g., a transaction). In the database, an entity often refers to a collection of something, the entity is associated with a data transmission object, and an individual of each type of data transmission object is an entity and is classified into "entity" knowledge nodes. "capability" knowledge nodes are used to describe the implementation of a method implemented through an interface (API) to perform a certain type of function in a particular scenario. One capability may support multiple functions. The basis for the capabilities is structure and algorithms. Capability is an manifestation of the system's endogenous mechanisms. In different scenarios, capabilities may indirectly appear as different functions. An "interface" knowledge node is used to describe an interface (e.g., function, HTTP interface) or refer to a convention in which different components of a software system are joined. The "application" knowledge node is used to provide a solution instance to a particular user to solve a particular problem in a particular scenario.
The 'page' knowledge node is used for describing information media interacted by a user and a system, and is formed by combining elements such as a menu, a button, a block and the like. Is one of the concrete presentation forms of the 'resources' in the 'front-end function package' knowledge node. The content of the 'configuration item' knowledge node 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. A "feature pack" knowledge node is a feature pack that is managed, developed, and installed in combination with the associated capabilities, configuration items, code, etc., that address a certain scenario or scenarios. The front-end function package mainly provides resources and function combinations associated with front-end implementation, and the back-end function package mainly provides service combinations associated with 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 for describing the behavior of a user in a specific space and time to complete a certain business objective.
In one implementation scenario, node details (e.g., API documents, capability descriptions, scenario details, configuration item detail 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, in displaying a middle graph, a brief introduction to each knowledge node may be displayed in the form of a floating card in the vicinity of the respective knowledge node. Or when the user hovers a mouse over a knowledge node, the simple introduction is displayed in the form of a card. And displaying the detailed description of the node in the form of a document according to the display instruction of the user. For example, the user may double click on a knowledge node in the middle table graph, displaying a node detailed description of 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 recite the name of the knowledge node to be displayed online or offline through voice, and then correspondingly display the detailed description of the knowledge node. Or the user can select the knowledge nodes to be displayed through a preset gesture online or offline, and the node detailed description of the selected knowledge nodes is correspondingly displayed. In the implementation scenario, a front-end interaction experience is built based on a G6 graph visualization technique.
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 and desensitize a part of the content therein, the arrangement order of various data in a simple introduction, and the like. And acquiring a modification instruction of a user, and changing the display template in the form of a card for simple introduction in real time according to the modification instruction. In other implementation scenarios, a plurality of display templates may be preset, and the user may change the display template of the simple introduction of each knowledge node in the intermediate graph in real time by switching the display templates, or may designate one or more knowledge nodes, and change the display template of the simple introduction of the designated knowledge node in real time. In other implementation scenarios, the template detailed description of the node may be modified or switched, which is basically consistent with the modification or switching described in the simple description, and will not be described herein.
In the scenario shown in fig. 2, at least one knowledge node constitutes at least one association link through a connection relationship. For example, an association link includes at least two knowledge nodes, e.g., a "function package" knowledge node and a "scenario" knowledge node, and a "capability" knowledge node constitutes an association link through a "containing" connection.
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 "place" scenario, and that knowledge node is named "place" or "scenario".
S103: and acquiring search conditions input by a user, and acquiring corresponding target information from the middle map according to the search conditions.
In a specific implementation scenario, search conditions input by a user are acquired, and corresponding target information is acquired from a middle map according to the search conditions. 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 if the name of the knowledge node is "ordering", the target information is searched according to the acquired search condition (the "ordering" scene).
For example, the user searches for a "place order" scenario, i.e., can retrieve series of development material information such as submitted orders (capabilities), order query parameters (data transfer objects), orders (entities), order queries (interfaces), whether or not billing materials (configuration items) are required, basic transaction packages (packages), basic transaction backend packages (backend packages), list pages (pages), basic transaction front-end packages (front-end packages), full-channel transaction malls (applications), and the like, which are associated with the "place order" scenario.
Further, the user may not need to acquire all the content related to the knowledge nodes in the search condition in the whole middle-stage map, for example, only the related information of the knowledge nodes of the type of "front-end function package" needs to be acquired, the type or name of the target knowledge node may be included in the search condition, for example, the type or name of the target knowledge node includes "front-end function package" or "basic transaction front-end function package", and the research and development material information of the basic transaction front-end function package (front-end function package) is displayed according to the search condition. For another example, only research and development material information and connection relations between knowledge nodes directly related to "scene" knowledge nodes need to be acquired.
In one implementation scenario, the search criteria includes a key node, e.g., a "scenario" knowledge node. Taking key nodes (such as ' scene ' knowledge nodes) included in the search condition as entries, indexing to the rest of key nodes through at least one associated link, and acquiring target information taking the key nodes included in the search condition as centers and taking the rest of key nodes (such as ' application ' knowledge nodes, scene ' knowledge nodes and ' domain ' knowledge nodes) as boundaries.
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. The target information data is counted and displayed in the form of an information table, so that a user can conveniently review the document.
In an implementation scenario, by implementing the method of the embodiment, the creation/update of the material document can be completed while the code is produced/updated, the workload of later maintenance is reduced, the operation cost of an enterprise is reduced, and the enterprise is helped to produce and manage knowledge data of a middle stage more efficiently and automatically.
In one implementation scenario, by implementing the method of the embodiment, the personalized middle stage map can be delivered according to the middle stage materials purchased by the clients as required, so that the value of the enterprise PaaS platform is improved.
In one implementation scenario, by implementing the method of the embodiment, a project developer can be helped to quickly grasp the landing mode of one function/scenario, required materials and the use method of the materials, so that development results can be quickly delivered.
In an implementation scenario, by implementing the method of the embodiment, the association relationship between documents can be established, so that a project decision maker can be helped to check and acquire material data more timely and more conveniently from a global angle, and the demand matching degree and the complexity of development work can be rapidly judged.
In one implementation scenario, by implementing the method of the embodiment, the business personnel can be helped to show the capabilities of the middle platform of the enterprise in a graphic structured form, so that clients are intuitively introduced about the capabilities of the middle platform, for example, what the middle platform can do, what the middle platform of other cases does, how the business is layered, how many solutions and floor cases exist, and the like.
As can be seen from the above description, in this embodiment, a material packet to be processed is scanned to obtain a target resource file, and the target resource file is parsed to obtain knowledge node data and node relationship data; according to the knowledge node data and the relation data, a middle map is constructed, the knowledge node data is displayed in the form of at least one knowledge node, search conditions input by a user are acquired, corresponding target information is acquired from the middle map according to the search conditions, accurate and comprehensive retrieval of middle research and development materials can be achieved, documents of the middle research and development materials are automatically updated, data management and arrangement efficiency is effectively improved, and work efficiency is effectively improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a middle-stage research and development material retrieval system provided by the present invention. The mid-floor 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 used for scanning the 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 12 is configured to construct a middle table map 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 at least 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 intermediate graph according to the search condition.
Wherein the at least one knowledge node comprises at least one key node; the search criteria includes a key node. The information module 13 is further configured to obtain, with the key node included in the search condition as an entry, target information centered on the key node included in the search condition and bounded by the remaining key nodes by indexing at least one associated link to 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 function package, a front-end function package, a back-end function package, a data transmission object, and a scene. The connection relation includes: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, and expose. The at least one key node includes at least one of a domain, a feature package, a scene, 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 node detailed description and simple description of each knowledge node according to the knowledge node data, and displaying the simple description in a card form; and displaying the detailed description of the node in the form of a document according to the display instruction of the user.
The map module 12 is used for acquiring a modification instruction of a user, and changing 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 service rule.
As can be seen from the above description, in this embodiment, the middle research and development material retrieval system scans a material packet to be processed to obtain a target resource file, and analyzes the target resource file to obtain knowledge node data and node relation data; the middle graph is constructed according to the knowledge node data and the relationship data, the knowledge node data is displayed in the form of at least one knowledge node, search conditions input by a user are acquired, corresponding target information is acquired from the middle graph according to the search conditions, accurate and comprehensive retrieval of the middle research and development materials can be achieved, automatic updating of documents of the middle research and development materials is achieved, and working efficiency can be effectively improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of an intelligent device according to the present invention. The smart device 20 includes a processor 21, a memory 22, and a fetch circuit 23. The processor 21 is coupled to the memory 22 and the 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 method can be referred to above, and will not be described here.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a storage medium according to an embodiment of the invention. The storage medium 30 stores at least one computer program 31, and the computer program 31 is configured to be executed by a processor to implement the method shown in fig. 1, and the detailed method is referred to above and will not be described herein. In one embodiment, the computer readable storage medium 30 may be a memory chip, a hard disk or a removable hard disk in a terminal, or other readable and writable storage means such as a flash disk, an optical disk, etc., and may also be a server, etc.
It should be noted that the above-mentioned method, system, intelligent terminal and storage medium for searching materials in the middle-stage research and development belong to a general inventive concept, and the content in the embodiments of the adaptive hearing compensation method, apparatus, device and computer readable storage medium may be mutually applicable.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a non-transitory computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not thereby to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (8)
1. The method for searching the research and development materials of the middle platform is characterized by comprising the following steps of:
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 stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one knowledge node and the connection relationship;
acquiring search conditions input by a user, and acquiring corresponding target information from the middle table map according to the search conditions;
when the target resource file is detected to be updated, carrying out formatted aggregation and distribution on the target resource file, and informing the middle-stage map updating data by using a message queue;
the at least one knowledge node comprises at least one key node; the search condition comprises one key node, wherein the key node is a knowledge node which is selected from the at least one knowledge node according to the node relation data and has only one-way relation with other knowledge nodes;
the step of obtaining corresponding target information from the middle stage map according to the search condition comprises the following steps:
taking key nodes included in the search condition as an entry, indexing to the rest of the key nodes through the at least one associated link, and acquiring the target information taking the key nodes included in the search condition as a center and taking the rest of the key nodes as boundaries;
the at least one knowledge node comprises: 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 relation includes: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, reveal;
the at least one key node comprises at least one of a domain, a function package, a scene and an application;
the domain knowledge node is used for defining the range of the service;
the application knowledge node is used for providing a solution example for a specific user to solve a specific problem in a specific scene;
the scene knowledge node is used for describing the behavior of a user in a specific space and time for completing a certain business target;
the function package knowledge nodes are used for managing, developing and installing the relevant capability, configuration items and codes of a certain or certain scenes.
2. The method for searching for a research and development material of claim 1, wherein after the step of obtaining the target information centered on the key node included in the search condition and bounded by the remaining key nodes, the method comprises:
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.
3. The method of claim 1, wherein the step of presenting the knowledge node data in the form of at least one knowledge node comprises:
acquiring node detailed description and simple description of each knowledge node according to the knowledge node data, and displaying the simple description in a card form;
and displaying the detailed description of the node in a document form according to a display instruction of a user.
4. A method of developing a material search in accordance with claim 3, wherein prior to said step of displaying said simple introduction in card form, comprising:
and acquiring a modification instruction of a user, and changing the display template in the form of the card in real time according to the modification instruction.
5. The method for searching for materials developed in the middle station 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:
annotating the codes of the target resource file according to a preset business rule.
6. A mid-table development material retrieval system, comprising:
the scanning module is used for 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;
the map module is used for constructing a middle stage map according to the knowledge node data and the relationship data, displaying the knowledge node data in the form of at least one knowledge node, generating a connection relationship between the at least one knowledge node according to the relationship data, and forming at least one association link according to the at least one knowledge node and the connection relationship;
the information module is used for acquiring search conditions input by a user and acquiring corresponding target information from the middle table map according to the search conditions; when the target resource file is detected to be updated, carrying out formatted aggregation and distribution on the target resource file, and informing the middle-stage map updating data by using a message queue;
the at least one knowledge node comprises at least one key node; the search condition comprises one key node, wherein the key node is a knowledge node which is selected from the at least one knowledge node according to the node relation data and has only one-way relation with other knowledge nodes;
the information module is used for taking key nodes included in the search condition as an entrance, indexing to other key nodes through the at least one associated link, and acquiring the target information taking the key nodes included in the search condition as a center and taking the other 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 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: at least one of contain, provide, rely on, combine, reference, associate, implement, invoke, reveal;
the at least one key node comprises at least one of a domain, a function package, a scene and an application;
the domain knowledge node is used for defining the range of the service;
the application knowledge node is used for providing a solution example for a specific user to solve a specific problem in a specific scene;
the scene knowledge node is used for describing the behavior of a user in a specific space and time for completing a certain business target;
the function package knowledge nodes are used for managing, developing and installing the relevant capability, configuration items and codes of a certain or certain scenes.
7. A smart 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 5.
8. A storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the method according to any one of claims 1 to 5.
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