A knowledge management method and system with examination and incentive mechanism

Abstract

The application discloses a kind of knowledge management method and system with examination incentive mechanism, by the explicit and implicit knowledge of business platform is carried out knowledge data acquisition, mining, refining, to carry out classified management to knowledge data, carry out knowledge data fusion to multiple system knowledge data and form associated knowledge data, the operation data of each subsystem in real time monitoring and obtaining in business platform, knowledge management system carries out corresponding knowledge data search according to operation data and carries out data push, user carries out the upload and management of knowledge data by knowledge management system, knowledge management system carries out examination and evaluation according to the knowledge data uploaded by user, and obtains user evaluation information.Based on user evaluation information, good examination incentive method can be realized to user.Through the knowledge management system established by the application, the participation of user to the system can be accurately analyzed, and then corresponding incentive management is carried out to relevant staff, so that a good knowledge management system construction process is formed.

Description

Technical Field

[0001] The present invention relates to the field of knowledge management, and more specifically, to a knowledge management method and system with an assessment and incentive mechanism. Background Art

[0002] A knowledge management system is an information system that collects, processes, and shares all the knowledge of an organization. It is usually supported by a computer system and is also a management method that uses software systems or other tools to classify, store, and manage a large amount of valuable plans, planning, results, experience, and other knowledge in the organization, accumulate knowledge assets, prevent loss, promote knowledge learning, sharing, training, reuse, and innovation, effectively reduce organizational operating costs, and strengthen its core competitiveness.

[0003] However, existing knowledge management systems often lack effective data management and lack effective evaluation, assessment, and incentive methods for knowledge management system participants, preventing a virtuous cycle of knowledge system construction, updating, and maintenance. Therefore, there is an urgent need for a knowledge management method and system with an assessment and incentive mechanism. Summary of the Invention

[0004] The present invention overcomes the defects of the prior art and proposes a knowledge management method and system with an assessment and incentive mechanism.

[0005] A first aspect of the present invention provides a knowledge management method with an assessment incentive mechanism, comprising:

[0006] Conduct knowledge data mining on each subsystem of the business platform to obtain multiple types of system knowledge data;

[0007] fusing the plurality of system knowledge data to form associated knowledge data;

[0008] Real-time monitoring and acquisition of operating data of subsystems in the business platform. The knowledge management system retrieves and pushes corresponding knowledge data based on the operating data.

[0009] Users upload and manage knowledge data through the knowledge management system. The knowledge management system conducts assessment and evaluation based on the knowledge data uploaded by users and obtains user evaluation information.

[0010] In this solution, the multi-type system knowledge data is fused to form related knowledge data, specifically:

[0011] Obtain data processing flow information in business systems, archive systems, and project management systems;

[0012] Analyze the data relationships between business systems, archive systems, and project management systems in data processing flow information;

[0013] Based on the data association relationship, a subsystem data association model is established between the business system, archive system, and catalog management system.

[0014] In this solution, the fusion of the multiple types of system knowledge data to form related knowledge data also includes:

[0015] Conduct knowledge data retrieval on the corresponding system databases in each subsystem of the business platform to obtain multiple types of system knowledge data;

[0016] According to the subsystem data association model, multiple types of system knowledge data are associated and fused to obtain associated knowledge data;

[0017] The associated knowledge data is imported into a knowledge database.

[0018] In this solution, the real-time monitoring and acquisition of the operating data of the subsystems in the business platform, and the knowledge management system performs corresponding knowledge data retrieval and data push based on the operating data, specifically:

[0019] Real-time monitoring and acquisition of operating data of subsystems in the business platform;

[0020] Obtain the current processing data information of the subsystem based on the operating data;

[0021] Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data;

[0022] The pushed knowledge data is sent to a preset terminal device for display.

[0023] In this solution, the user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including:

[0024] Obtain user knowledge retrieval tags;

[0025] Performing knowledge type analysis based on the search tags and obtaining knowledge search information;

[0026] Conduct knowledge association analysis based on knowledge retrieval information and in combination with subsystem data association models to obtain associated knowledge retrieval information;

[0027] Importing knowledge retrieval information and related knowledge retrieval information into the knowledge management system;

[0028] Connecting the knowledge database through the knowledge management system, performing data retrieval from the knowledge database based on the knowledge retrieval information and the associated knowledge retrieval information to obtain the retrieval knowledge data;

[0029] According to the subsystem data association model, the retrieved knowledge data is transformed into a visual representation based on the subsystem structure to obtain visual knowledge data;

[0030] Displaying the visualized knowledge data via a preset terminal device;

[0031] Record each user's search tags and search knowledge data and generate a search record, which is then imported into a knowledge database.

[0032] In this solution, the user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including:

[0033] Obtain user historical uploaded knowledge data;

[0034] Generate knowledge data keywords based on historical uploaded knowledge data;

[0035] Connecting to the knowledge database through the knowledge management system and obtaining search records from the knowledge database;

[0036] Perform record query from the search record using the knowledge data keyword to obtain keyword query frequency and query count information;

[0037] Statistics are collected on user uploaded data based on historical uploaded knowledge data to obtain the number of uploaded data and the amount of uploaded data;

[0038] The user is comprehensively evaluated based on the keyword query frequency, query number information, upload number of times, and upload data volume information to obtain user evaluation information.

[0039] A second aspect of the present invention further provides a knowledge management system with an assessment incentive mechanism, the system comprising: a memory and a processor, the memory comprising a knowledge management program with an assessment incentive mechanism, the knowledge management program with an assessment incentive mechanism, when executed by the processor, implementing the following steps:

[0040] Conduct knowledge data mining on each subsystem of the business platform to obtain multiple types of system knowledge data;

[0041] fusing the plurality of system knowledge data to form associated knowledge data;

[0042] Real-time monitoring and acquisition of operating data of subsystems in the business platform. The knowledge management system retrieves and pushes corresponding knowledge data based on the operating data.

[0043] Users upload and manage knowledge data through the knowledge management system. The knowledge management system conducts assessment and evaluation based on the knowledge data uploaded by users and obtains user evaluation information.

[0044] In this solution, the multi-type system knowledge data is fused to form related knowledge data, specifically:

[0045] Obtain data processing flow information in business systems, archive systems, and project management systems;

[0046] Analyze the data relationships between business systems, archive systems, and project management systems in data processing flow information;

[0047] Based on the data association relationship, a subsystem data association model is established between the business system, archive system, and catalog management system.

[0048] In this solution, the fusion of the multiple types of system knowledge data to form related knowledge data also includes:

[0049] Conduct knowledge data retrieval on the corresponding system databases in each subsystem of the business platform to obtain multiple types of system knowledge data;

[0050] According to the subsystem data association model, multiple types of system knowledge data are associated and fused to obtain associated knowledge data;

[0051] The associated knowledge data is imported into a knowledge database.

[0052] In this solution, the real-time monitoring and acquisition of the operating data of the subsystems in the business platform, and the knowledge management system performs corresponding knowledge data retrieval and data push based on the operating data, specifically:

[0053] Real-time monitoring and acquisition of operating data of subsystems in the business platform;

[0054] Obtain the current processing data information of the subsystem based on the operating data;

[0055] Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data;

[0056] The pushed knowledge data is sent to a preset terminal device for display.

[0057] The present invention discloses a knowledge management method and system with an assessment and incentive mechanism. By collecting, mining and refining the explicit and implicit knowledge of the business platform, the knowledge data is classified and managed, the knowledge data of multiple types of systems are integrated to form related knowledge data, and the operation data of each subsystem in the business platform is monitored and obtained in real time. The knowledge management system performs corresponding knowledge data retrieval and data push based on the operation data. Users upload and manage knowledge data through the knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by users and obtains user evaluation information. Based on the user evaluation information, a good assessment and incentive method can be implemented for users. The knowledge management system established by the present invention can accurately analyze the user's participation in the system, and then perform corresponding incentive management on relevant employees, thereby forming a good knowledge management system construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A flow chart showing a knowledge management method with an assessment and incentive mechanism according to the present invention is shown;

[0059] Figure 2 The following is a flowchart of obtaining the subsystem data association model of the present invention;

[0060] Figure 3 The flowchart of the associated knowledge data acquisition of the present invention is shown;

[0061] Figure 4 A block diagram of a knowledge management system with an assessment and incentive mechanism according to the present invention is shown. DETAILED DESCRIPTION

[0062] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0063] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0064] Figure 1 The flowchart of the knowledge management method with an assessment incentive mechanism of the present invention is shown.

[0065] like Figure 1 As shown, the first aspect of the present invention provides a knowledge management method with an assessment incentive mechanism, comprising:

[0066] S102, performing knowledge data mining on each subsystem of the business platform to obtain multiple types of system knowledge data;

[0067] S104, fusing the multiple types of system knowledge data to form related knowledge data;

[0068] S106, real-time monitoring and acquisition of operating data of subsystems in the business platform, and the knowledge management system performs corresponding knowledge data retrieval and data push based on the operating data;

[0069] S108, the user uploads and manages knowledge data through the knowledge management system, and the knowledge management system performs assessment and evaluation based on the knowledge data uploaded by the user and obtains user evaluation information.

[0070] It should be noted that the business platform includes multiple subsystems, such as a business system, an archive system, and a project management system. The knowledge data mining of each subsystem of the business platform, which generates multiple types of system knowledge data, involves collecting, mining, and refining the explicit and implicit knowledge of the business platform, thereby generating multiple types of system knowledge data. Each subsystem corresponds to a type of system knowledge data.

[0071] Figure 2 The flowchart of obtaining the subsystem data association model of the present invention is shown.

[0072] According to an embodiment of the present invention, the fusion of the multiple types of system knowledge data to form related knowledge data is specifically as follows:

[0073] S202, obtaining data processing flow information in the business system, archive system, and project management system;

[0074] S204, analyzing the data association relationship between the business system, the archive system, and the project management system in the data processing flow information;

[0075] S206: Based on the data association relationship, a subsystem data association model is established among the business system, the archive system, and the catalog management system.

[0076] It should be noted that during the operation of various subsystems in an enterprise, the data in each subsystem is generally closely related. For example, in a business system and a project management system, data updates in a project are often synchronized with corresponding data updates in the business system. By analyzing the data relationships in each subsystem and establishing an association model, the present invention can improve the efficiency of subsequent knowledge data management and retrieval.

[0077] Figure 3 The flowchart of the associated knowledge data acquisition of the present invention is shown.

[0078] According to an embodiment of the present invention, the step of fusing the multiple types of system knowledge data to form associated knowledge data further includes:

[0079] S302, performing knowledge data retrieval on the corresponding system databases of each subsystem of the business platform to obtain multiple types of system knowledge data;

[0080] S304, performing data association and data fusion on multiple types of system knowledge data according to the subsystem data association model to obtain associated knowledge data;

[0081] S306: Import the associated knowledge data into a knowledge database.

[0082] It should be noted that the associated knowledge data has a certain data structure, which is set according to the subsystem data association model. By acquiring the associated knowledge data, the present invention can quickly search and extract knowledge between different subsystems, thereby improving system operation efficiency.

[0083] According to an embodiment of the present invention, the real-time monitoring and acquisition of operating data of the subsystems in the business platform, and the knowledge management system performing corresponding knowledge data retrieval and data push based on the operating data, are specifically as follows:

[0084] Real-time monitoring and acquisition of operating data of subsystems in the business platform;

[0085] Obtain the current processing data information of the subsystem based on the operating data;

[0086] Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data;

[0087] The pushed knowledge data is sent to a preset terminal device for display.

[0088] It should be noted that the operating data is specifically the data transmitted and processed in real time in each subsystem, and the currently processed data information includes the type, attributes, etc. of the currently processed data in each subsystem. The preset terminal device includes the user's mobile terminal device and computer terminal device.

[0089] According to an embodiment of the present invention, the user uploads and manages knowledge data through a knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by the user and obtains user evaluation information, including:

[0090] Obtain user knowledge retrieval tags;

[0091] Performing knowledge type analysis based on the search tags and obtaining knowledge search information;

[0092] Conduct knowledge association analysis based on knowledge retrieval information and in combination with subsystem data association models to obtain associated knowledge retrieval information;

[0093] Importing knowledge retrieval information and related knowledge retrieval information into the knowledge management system;

[0094] Connecting the knowledge database through the knowledge management system, performing data retrieval from the knowledge database based on the knowledge retrieval information and the associated knowledge retrieval information to obtain the retrieval knowledge data;

[0095] According to the subsystem data association model, the retrieved knowledge data is transformed into a visual representation based on the subsystem structure to obtain visual knowledge data;

[0096] Displaying the visualized knowledge data via a preset terminal device;

[0097] Record each user's search tags and search knowledge data and generate a search record, which is then imported into a knowledge database.

[0098] According to an embodiment of the present invention, the user uploads and manages knowledge data through a knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by the user and obtains user evaluation information, including:

[0099] Obtain user historical uploaded knowledge data;

[0100] Generate knowledge data keywords based on historical uploaded knowledge data;

[0101] Connecting to the knowledge database through the knowledge management system and obtaining search records from the knowledge database;

[0102] Perform record query from the search record using the knowledge data keyword to obtain keyword query frequency and query count information;

[0103] Statistics are collected on user uploaded data based on historical uploaded knowledge data to obtain the number of uploaded data and the amount of uploaded data;

[0104] The user is comprehensively evaluated based on the keyword query frequency, query number information, upload number of times, and upload data volume information to obtain user evaluation information.

[0105] It should be noted that, among the query frequency, query number information, data upload number, and data upload amount information, the larger the values ​​are, the greater the user's enthusiasm for uploading and sharing knowledge data. The present invention analyzes the user's participation in the knowledge management system through two dimensions: user query and user uploaded data, so that corresponding incentive measures can be implemented in the future.

[0106] In addition, in the employee assessment incentive method, corresponding indicator rewards can also be given based on uploaded content indicators, such as the number of questions answered, the number of knowledge uploaded, and the number of album maps. The number of questions answered corresponds to the number of answers to questions raised by users in the knowledge management system, the knowledge uploaded data is the number of times user knowledge data is uploaded, and the number of album maps is the number of albums and maps created by users in the knowledge management warehouse.

[0107] According to an embodiment of the present invention, the further embodiment includes:

[0108] Obtain search records through knowledge databases;

[0109] Performing retrieval query frequency statistics on the knowledge data according to the retrieval records to obtain a knowledge data query frequency table;

[0110] Get each user's responsibility information;

[0111] Obtaining the corresponding responsible subsystem type according to the responsibility information;

[0112] Based on the data sequence in the knowledge data query frequency table, corresponding knowledge data belonging to the subsystem type is obtained from the knowledge data query frequency table to obtain user knowledge data;

[0113] Extracting high-frequency data from the user knowledge data based on the query frequency order to obtain a preset amount of high-frequency knowledge data;

[0114] The high-frequency knowledge data is imported into the knowledge management system and user knowledge assessment questions are generated.

[0115] It should be noted that the user knowledge data is subjected to high-frequency data extraction based on the query frequency order to obtain a preset amount of high-frequency knowledge data, specifically in order from high frequency to low frequency, and data is extracted from the user knowledge data until the extracted data reaches a preset amount of data. The preset data amount is generally set by the management user. The user knowledge data is ordered data that still has the query frequency order. In addition, the user knowledge assessment questions corresponding to different users are also different. By generating user knowledge assessment questions, the present invention can assess the high-frequency knowledge data of the corresponding subsystem for different users, thereby allowing users to become more familiar with the knowledge data in the system.

[0116] Figure 4 A block diagram of a knowledge management system with an assessment and incentive mechanism according to the present invention is shown.

[0117] The second aspect of the present application also provides a knowledge management system 4 with an examination and incentive mechanism, comprising a memory 41 and a processor 42, wherein the memory comprises a knowledge management program with an examination and incentive mechanism, and the knowledge management program with an examination and incentive mechanism, when executed by the processor, implements the following steps:

[0118] Knowledge data mining is performed on each subsystem of the business platform to obtain multiple types of system knowledge data;

[0119] The multiple types of system knowledge data are fused to form associated knowledge data;

[0120] The running data of the subsystems in the business platform are monitored and obtained in real time, and the knowledge management system performs corresponding knowledge data retrieval and data pushing according to the running data;

[0121] The user uploads and manages the knowledge data through the knowledge management system, the knowledge management system performs examination and evaluation according to the knowledge data uploaded by the user, and user evaluation information is obtained.

[0122] It should be noted that the business platform comprises a business system, an archive system, a project management system and the like.

[0123] According to the embodiment of the present application, the multiple types of system knowledge data are fused to form associated knowledge data, specifically as follows:

[0124] Data processing flow information in the business system, the archive system and the project management system is obtained;

[0125] The data association relationship between the business system, the archive system and the project management system in the data processing flow information is analyzed;

[0126] According to the data association relationship, a subsystem data association model between the business system, the archive system and the project management system is established.

[0127] It should be noted that in the running process of each subsystem of the enterprise, the data of each subsystem generally has a great association relationship, for example, in the business system and the project management system, the update of the data in the project is generally synchronized with the update of the corresponding data in the business system. Through the analysis of the data relationship in each subsystem and the establishment of the association model, the management and retrieval efficiency of the subsequent knowledge data can be improved.

[0128] According to the embodiment of the present application, the multiple types of system knowledge data are fused to form associated knowledge data, and the method further comprises:

[0129] Knowledge data retrieval is performed on the corresponding system databases in each subsystem of the business platform to obtain multiple types of system knowledge data;

[0130] According to the subsystem data association model, multiple types of system knowledge data are associated and fused to obtain associated knowledge data;

[0131] The associated knowledge data is imported into a knowledge database.

[0132] It should be noted that the associated knowledge data has a certain data structure, which is set according to the subsystem data association model. By acquiring the associated knowledge data, the present invention can quickly search and extract knowledge between different subsystems, thereby improving system operation efficiency.

[0133] According to an embodiment of the present invention, the real-time monitoring and acquisition of operating data of the subsystems in the business platform, and the knowledge management system performing corresponding knowledge data retrieval and data push based on the operating data, are specifically as follows:

[0134] Real-time monitoring and acquisition of operating data of subsystems in the business platform;

[0135] Obtain the current processing data information of the subsystem based on the operating data;

[0136] Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data;

[0137] The pushed knowledge data is sent to a preset terminal device for display.

[0138] It should be noted that the operating data is specifically the data transmitted and processed in real time in each subsystem, and the currently processed data information includes the type, attributes, etc. of the currently processed data in each subsystem. The preset terminal device includes the user's mobile terminal device and computer terminal device.

[0139] According to an embodiment of the present invention, the user uploads and manages knowledge data through a knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by the user and obtains user evaluation information, including:

[0140] Obtain user knowledge retrieval tags;

[0141] Performing knowledge type analysis based on the search tags and obtaining knowledge search information;

[0142] Conduct knowledge association analysis based on knowledge retrieval information and in combination with subsystem data association models to obtain associated knowledge retrieval information;

[0143] Importing knowledge retrieval information and related knowledge retrieval information into the knowledge management system;

[0144] Connecting the knowledge database through the knowledge management system, performing data retrieval from the knowledge database based on the knowledge retrieval information and the associated knowledge retrieval information to obtain the retrieval knowledge data;

[0145] According to the subsystem data association model, the retrieved knowledge data is transformed into a visual representation based on the subsystem structure to obtain visual knowledge data;

[0146] Displaying the visualized knowledge data via a preset terminal device;

[0147] Record each user's search tags and search knowledge data and generate a search record, which is then imported into a knowledge database.

[0148] According to an embodiment of the present invention, the user uploads and manages knowledge data through a knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by the user and obtains user evaluation information, including:

[0149] Obtain user historical uploaded knowledge data;

[0150] Generate knowledge data keywords based on historical uploaded knowledge data;

[0151] Connecting to the knowledge database through the knowledge management system and obtaining search records from the knowledge database;

[0152] Perform record query from the search record using the knowledge data keyword to obtain keyword query frequency and query count information;

[0153] Statistics are collected on user uploaded data based on historical uploaded knowledge data to obtain the number of uploaded data and the amount of uploaded data;

[0154] The user is comprehensively evaluated based on the keyword query frequency, query number information, upload number of times, and upload data volume information to obtain user evaluation information.

[0155] It should be noted that, among the query frequency, query number information, data upload number, and data upload amount information, the larger the values ​​are, the greater the user's enthusiasm for uploading and sharing knowledge data. The present invention analyzes the user's participation in the knowledge management system through two dimensions: user query and user uploaded data, so that corresponding incentive measures can be implemented in the future.

[0156] The present invention discloses a knowledge management method and system with an assessment and incentive mechanism. By collecting, mining and refining the explicit and implicit knowledge of the business platform, the knowledge data is classified and managed, the knowledge data of multiple types of systems are integrated to form related knowledge data, and the operation data of each subsystem in the business platform is monitored and obtained in real time. The knowledge management system performs corresponding knowledge data retrieval and data push based on the operation data. Users upload and manage knowledge data through the knowledge management system. The knowledge management system performs assessment and evaluation based on the knowledge data uploaded by users and obtains user evaluation information. Based on the user evaluation information, a good assessment and incentive method can be implemented for users. The knowledge management system established by the present invention can accurately analyze the user's participation in the system, and then perform corresponding incentive management on relevant employees, thereby forming a good knowledge management system construction process.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0158] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0159] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0160] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0161] Alternatively, if the integrated units described above are implemented as software modules and sold or used as standalone products, they can also be stored on a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as removable storage devices, ROM, RAM, magnetic disks, or optical disks.

[0162] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A knowledge management method with an assessment incentive mechanism, characterized in that: include: Conduct knowledge data mining on each subsystem of the business platform to obtain multiple types of system knowledge data; fusing the plurality of system knowledge data to form associated knowledge data; Real-time monitoring and acquisition of operating data of subsystems in the business platform. The knowledge management system retrieves and pushes corresponding knowledge data based on the operating data. Users upload and manage knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by users and obtains user evaluation information. The user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including: Obtain user knowledge retrieval tags; Performing knowledge type analysis based on the search tags and obtaining knowledge search information; Conduct knowledge association analysis based on knowledge retrieval information and in combination with subsystem data association models to obtain associated knowledge retrieval information; Importing knowledge retrieval information and related knowledge retrieval information into the knowledge management system; Connecting the knowledge database through the knowledge management system, performing data retrieval from the knowledge database based on the knowledge retrieval information and the associated knowledge retrieval information to obtain the retrieval knowledge data; According to the subsystem data association model, the retrieved knowledge data is transformed into a visual representation based on the subsystem structure to obtain visual knowledge data; Displaying the visualized knowledge data via a preset terminal device; Recording each user's search tags and searched knowledge data and generating a search record, and importing the search record into a knowledge database; The user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including: Obtain user historical uploaded knowledge data; Generate knowledge data keywords based on historical uploaded knowledge data; Connecting to the knowledge database through the knowledge management system and obtaining search records from the knowledge database; Perform record query from the search record using the knowledge data keyword to obtain keyword query frequency and query count information; Statistics are collected on user uploaded data based on historical uploaded knowledge data to obtain the number of uploaded data and the amount of uploaded data; The user is comprehensively evaluated based on the keyword query frequency, query number information, upload number of times, and upload data volume information to obtain user evaluation information.

2. A knowledge management method with an assessment incentive mechanism according to claim 1, characterized in that: The fusion of the multiple types of system knowledge data to form related knowledge data is specifically as follows: Obtain data processing flow information in business systems, archive systems, and project management systems; Analyze the data relationships between business systems, archive systems, and project management systems in data processing flow information; Based on the data association relationship, a subsystem data association model is established between the business system, archive system, and catalog management system.

3. A knowledge management method with an assessment incentive mechanism according to claim 2, characterized in that: The step of fusing the plurality of system knowledge data to form associated knowledge data further includes: Conduct knowledge data retrieval on the corresponding system databases in each subsystem of the business platform to obtain multiple types of system knowledge data; According to the subsystem data association model, multiple types of system knowledge data are associated and fused to obtain associated knowledge data; The associated knowledge data is imported into a knowledge database.

4. A knowledge management method with an assessment incentive mechanism according to claim 3, characterized in that: The real-time monitoring and acquisition of the operating data of the subsystems in the business platform, and the knowledge management system performing corresponding knowledge data retrieval and data push based on the operating data, are specifically as follows: Real-time monitoring and acquisition of operating data of subsystems in the business platform; Obtain the current processing data information of the subsystem based on the operating data; Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data; The pushed knowledge data is sent to a preset terminal device for display.

5. A knowledge management system with an assessment and incentive mechanism, characterized in that: The system includes: a memory and a processor. The memory includes a knowledge management program with an assessment and incentive mechanism. When the knowledge management program with an assessment and incentive mechanism is executed by the processor, the following steps are implemented: Conduct knowledge data mining on each subsystem of the business platform to obtain multiple types of system knowledge data; fusing the plurality of system knowledge data to form associated knowledge data; Real-time monitoring and acquisition of operating data of subsystems in the business platform. The knowledge management system retrieves and pushes corresponding knowledge data based on the operating data. Users upload and manage knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by users and obtains user evaluation information. The user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including: Obtain user knowledge retrieval tags; Performing knowledge type analysis based on the search tags and obtaining knowledge search information; Conduct knowledge association analysis based on knowledge retrieval information and in combination with subsystem data association models to obtain associated knowledge retrieval information; Importing knowledge retrieval information and related knowledge retrieval information into the knowledge management system; Connecting the knowledge database through the knowledge management system, performing data retrieval from the knowledge database based on the knowledge retrieval information and the associated knowledge retrieval information to obtain the retrieval knowledge data; According to the subsystem data association model, the retrieved knowledge data is transformed into a visual representation based on the subsystem structure to obtain visual knowledge data; Displaying the visualized knowledge data via a preset terminal device; Recording each user's search tags and searched knowledge data and generating a search record, and importing the search record into a knowledge database; The user uploads and manages knowledge data through the knowledge management system. The knowledge management system evaluates and assesses the knowledge data uploaded by the user and obtains user evaluation information, including: Obtain user historical uploaded knowledge data; Generate knowledge data keywords based on historical uploaded knowledge data; Connecting to the knowledge database through the knowledge management system and obtaining search records from the knowledge database; Perform record query from the search record using the knowledge data keyword to obtain keyword query frequency and query count information; Statistics are collected on user uploaded data based on historical uploaded knowledge data to obtain the number of uploaded data and the amount of uploaded data; The user is comprehensively evaluated based on the keyword query frequency, query number information, upload number of times, and upload data volume information to obtain user evaluation information.

6. A knowledge management system with an assessment and incentive mechanism according to claim 5, characterized in that: The fusion of the multiple types of system knowledge data to form related knowledge data is specifically as follows: Obtain data processing flow information in business systems, archive systems, and project management systems; Analyze the data relationships between business systems, archive systems, and project management systems in data processing flow information; Based on the data association relationship, a subsystem data association model is established between the business system, archive system, and catalog management system.

7. A knowledge management system with an assessment and incentive mechanism according to claim 5, characterized in that: The step of fusing the plurality of system knowledge data to form associated knowledge data further includes: Conduct knowledge data retrieval on the corresponding system databases in each subsystem of the business platform to obtain multiple types of system knowledge data; According to the subsystem data association model, multiple types of system knowledge data are associated and fused to obtain associated knowledge data; The associated knowledge data is imported into a knowledge database.

8. A knowledge management system with an assessment and incentive mechanism according to claim 5, characterized in that: The real-time monitoring and acquisition of the operating data of the subsystems in the business platform, and the knowledge management system performing corresponding knowledge data retrieval and data push based on the operating data, are specifically as follows: Real-time monitoring and acquisition of operating data of subsystems in the business platform; Obtain the current processing data information of the subsystem based on the operating data; Generate a data retrieval tag based on the currently processed data information, perform corresponding knowledge data retrieval through the knowledge management system based on the data retrieval tag, and obtain pushed knowledge data; The pushed knowledge data is sent to a preset terminal device for display.

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