Information management method, device and equipment, readable storage medium and program product

Abstract

The invention relates to an information management method and device, equipment, a readable storage medium and a program product. The method comprises the steps of obtaining first question data based on a first question control included in a knowledge question and answer page by displaying the knowledge question and answer page, and determining at least one piece of knowledge information corresponding to the first question data according to the first question data, namely inputting each piece of knowledge information into a preset language model; summarization information corresponding to the knowledge information is obtained, and the summarization information is displayed in the knowledge question and answer page. By adopting the method, the flexibility of knowledge information management can be improved.

Description

Technical Field

[0001] The present application relates to the field of information management technology, and in particular to an information management method, apparatus, device, readable storage medium and program product. Background Art

[0002] In the field of fire protection, fire protection knowledge and information is usually used in the process of talent training, such as the "Code for Fire Protection Design of Buildings" and the "Code for Design of Automatic Fire Alarm Systems".

[0003] In the related art, fire-related knowledge and information are usually recorded in paper textbooks so that users can obtain relevant knowledge and information through the paper textbooks.

[0004] However, the management method of fire protection knowledge information in traditional technology has the problem of poor management flexibility. Summary of the invention

[0005] Based on this, it is necessary to provide an information management method, device, equipment, readable storage medium and program product that can improve management flexibility in response to the above technical problems.

[0006] In a first aspect, the present application provides an information management method, comprising:

[0007] Displaying a knowledge question and answer page, which includes a first question control;

[0008] Acquire first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0009] Input each piece of knowledge information into the preset language model, obtain the summary information corresponding to each piece of knowledge information, and display the summary information on the knowledge question and answer page.

[0010] In one embodiment, determining at least one piece of knowledge information corresponding to the first question data according to the first question data includes:

[0011] Performing intent extraction on the first question data to obtain intent information corresponding to the first question data;

[0012] The knowledge information is determined according to the intention information.

[0013] In one embodiment, the knowledge information is determined according to the intention information, including:

[0014] Matching the intention information with each candidate information stored in the database to obtain the matching degree corresponding to each candidate information;

[0015] According to each matching degree, each piece of knowledge information is determined from each piece of candidate information, and the matching degree corresponding to each piece of knowledge information satisfies a preset screening condition.

[0016] In one embodiment, the method further comprises:

[0017] Obtain identification information corresponding to each candidate information;

[0018] Knowledge matching information is generated according to each identification information and each matching degree, and is displayed on the knowledge question and answer page. The knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0019] In one embodiment, the knowledge question and answer page includes a second question control, and the method further includes:

[0020] Acquire second question data based on the second question control, where the second question data is associated with the first question data;

[0021] Inputting the second question data and each piece of knowledge information into a preset language model to obtain answer information corresponding to the second question data;

[0022] Display answer information on the quiz page.

[0023] In one embodiment, the knowledge question and answer page further includes a knowledge information display control, and the method further includes:

[0024] In response to a trigger operation on the knowledge information display control, at least each piece of knowledge information is displayed in the knowledge question and answer page.

[0025] In a second aspect, the present application also provides an information management device, including:

[0026] A display module, used for displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control;

[0027] A determination module, configured to obtain first question data based on a first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0028] The summary module is used to input various pieces of knowledge information into a preset language model, obtain summary information corresponding to each piece of knowledge information, and display the summary information on the knowledge question and answer page.

[0029] In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method of the first aspect when executing the computer program.

[0030] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of the first aspect described above.

[0031] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method in the first aspect are implemented.

[0032] The above-mentioned information management method, device, equipment, readable storage medium and program product, by displaying a knowledge question and answer page, obtains the first question data based on the first question control included in the knowledge question and answer page, and determines at least one knowledge information corresponding to the first question data based on the first question data, so that each piece of knowledge information can be input into a preset language model, and summary information corresponding to each piece of knowledge information can be obtained, and the summary information can be displayed in the knowledge question and answer page. In this way, the first question data input by the user can be obtained based on the first question control included on the knowledge answer page, so that the knowledge information related to the first question data can be automatically found based on the first question data, avoiding the problem of poor flexibility in traditional technology that knowledge information can only be obtained through paper teaching materials. In addition, the present application can also summarize the knowledge information according to the preset language model and display the summary information, further improving the flexibility of knowledge information management. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments of the present application or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 is a flowchart of an information management method in one embodiment;

[0035] Figure 2 is a schematic flow chart of step 102 in another embodiment;

[0036] Figure 3 is a relationship diagram between matching degree and identification information in another embodiment;

[0037] Figure 4 A flowchart of an exemplary information management method in another embodiment;

[0038] Figure 5 A schematic diagram of an exemplary knowledge question and answer page in another embodiment;

[0039] Figure 6is a structural block diagram of an information management device in one embodiment;

[0040] Figure 7 is an internal structure diagram of a computer device in one embodiment;

[0041] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] In the field of fire protection, fire protection knowledge and information is usually used in the process of talent training, such as the "Code for Fire Protection Design of Buildings" and the "Code for Design of Automatic Fire Alarm Systems".

[0044] In related technologies, this knowledge information usually relies on paper textbook records, and the knowledge information is updated slowly. Moreover, this knowledge information is usually distributed among multiple different standards, guidelines and regulations. Fragmented management not only makes information management less flexible, but also causes users to have difficulty understanding when learning knowledge information.

[0045] In addition, traditional information management methods have poor interactivity with users.

[0046] Therefore, the above information management method has the problem of poor management flexibility.

[0047] In view of this, the present application provides an information management method, device, equipment, readable storage medium and program product, which can display a knowledge question and answer page, obtain first question data based on the first question control included in the knowledge question and answer page, and determine at least one knowledge information corresponding to the first question data based on the first question data, so that each piece of knowledge information can be input into a preset language model, and summary information corresponding to each piece of knowledge information can be obtained, and the summary information can be displayed in the knowledge question and answer page. In this way, the first question data input by the user can be obtained based on the first question control included on the knowledge answer page, so that the knowledge information related to the first question data can be automatically found based on the first question data, avoiding the problem of poor flexibility in traditional technology that knowledge information can only be obtained through paper teaching materials. In addition, the present application can also summarize the knowledge information according to the preset language model and display the summary information, further improving the flexibility of knowledge information management.

[0048] The information management method provided in the embodiment of the present application can be applied to a computer device, which can be a server or a terminal. Optionally, if the computer device is a server, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services; Optionally, if the computer device is a terminal, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc.

[0049] In an exemplary embodiment, Figure 1 As shown, an information management method is provided, and the method is applied to a server for example. It can be understood that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps 101 to 103. Among them:

[0050] Step 101, display the knowledge question and answer page.

[0051] The knowledge answer page can be a pre-deployed web page. Optionally, when the server detects that there are question and answer instructions in the system, the knowledge answer page can be displayed; optionally, the server can respond to the question and answer trigger control on the current page to display the knowledge answer page.

[0052] In an embodiment of the present application, the knowledge question and answer page may include a first question control. Optionally, the first question control may be a text input box, so that the server can obtain relevant text of the first question data entered by the user through the text input box; optionally, the first question control may be a check box, so that the server can determine the first question data indicated by the user based on the check box.

[0053] Step 102: acquiring first question data based on a first question control, and determining at least one piece of knowledge information corresponding to the first question data according to the first question data.

[0054] In an embodiment of the present application, the first question data may be data input by a user for asking a question. After the server obtains the first question data based on the first question control, it may determine at least one piece of knowledge information corresponding to the first question data based on the first question data.

[0055] Optionally, there is a mapping relationship between the question data and the knowledge information. The server can determine the target mapping relationship corresponding to the first question data based on the first question data, and then determine at least one knowledge information corresponding to the first question data based on the target mapping relationship; optionally, the server can perform intent extraction on the first question data to obtain the intent information corresponding to the first question data. The server can also obtain multiple candidate information. In this way, the server can calculate the matching degree between each candidate information and the intent information according to preset conditions, and determine at least one knowledge information corresponding to the first question data from each candidate information according to each matching degree.

[0056] Step 103, input each piece of knowledge information into a preset language model, obtain summary information corresponding to each piece of knowledge information, and display the summary information on the knowledge question and answer page.

[0057] In an embodiment of the present application, the preset language model may be a model obtained by training a large language model based on a first preset instruction by the server. The preset language model may perform corresponding processing on the input knowledge information based on the preset instruction. In an embodiment of the present application, the first preset instruction may be a summary. In this way, the server inputs each piece of knowledge information into the preset language model and may obtain summary information corresponding to each piece of knowledge information.

[0058] In a possible implementation, the knowledge question and answer page further includes a knowledge information display control, so that in response to a trigger operation on the knowledge information display control, the server can also display at least various knowledge information in the knowledge question and answer page.

[0059] In the embodiment of the present application, the knowledge information may be knowledge information related to the fire protection field, or knowledge information related to other fields, and the knowledge information may be determined according to actual needs.

[0060] Knowledge information can be archived and managed in a database. Regarding the process of the server archiving the knowledge information in the database, in a possible implementation, the server can first obtain the original knowledge information. Optionally, the server can obtain the original knowledge information input by the user through an external input device. Optionally, the server can collect the original knowledge information from the Internet based on preset keywords.

[0061] After obtaining the original knowledge information, the server may preprocess the original knowledge information, and the preprocessing may include data cleaning and the like.

[0062] For the preprocessed knowledge information, the server can archive it in a preset database.

[0063] In another possible implementation, different knowledge information also has corresponding information identifiers and information descriptions. When each piece of knowledge information is displayed on the server knowledge question and answer page, the information identifier and information description corresponding to each piece of knowledge information can also be obtained, and the information identifier and information description corresponding to each piece of knowledge information can be displayed in the corresponding display control of the knowledge question and answer page.

[0064] In the embodiment of the present application, the information identifier may be a chapter index of the knowledge information in a paper textbook, or may be a preset representation code, and the information description may be a specific interpretation of the knowledge information.

[0065] Correspondingly, when archiving knowledge information, the server may associate each piece of knowledge information with the corresponding information identifier and the corresponding information description for archiving.

[0066] In an embodiment of the present application, the knowledge question and answer page also includes a second question control. Therefore, the server can obtain second question data based on the second question control, input the second question data and various knowledge information into a preset language model, obtain answer information corresponding to the second question data, and display the answer information on the knowledge question and answer page, wherein the second question data is associated with the first question data.

[0067] In an embodiment of the present application, the server can also obtain the second question data input by the user based on the first question data. Since the second question data is associated with the first question data, the server no longer needs to determine the knowledge information corresponding to the second question data. The server can input the knowledge information corresponding to the first question data and the second question data into the preset language model to obtain the answer information corresponding to the second question data. Based on the above content, the preset language model can also be a language model trained based on the second preset instruction, and the second preset instruction can be an answer. In this way, the server inputs the knowledge information corresponding to the first question data and the second question data into the preset language model to obtain the answer information corresponding to the second question data.

[0068] In the above embodiment, the first question data input by the user is obtained based on the first question control included on the knowledge answer page, so that the knowledge information related to the first question data is automatically found according to the first question data, thereby avoiding the poor flexibility of traditional technology that can only obtain knowledge information through paper teaching materials. In addition, the present application can also summarize the knowledge information according to a preset language model and display the summarized information, further improving the flexibility of knowledge information management.

[0069] In one embodiment, based on the above Figure 1 The embodiment shown, see Figure 2 This embodiment relates to a process of determining at least one piece of knowledge information corresponding to the first question data according to the first question data. Figure 2 As shown, step 102 may include step 201 and step 202 .

[0070] Step 201 , extract the intent of the first question data to obtain the intent information corresponding to the first question data.

[0071] In an embodiment of the present application, the server may perform intent extraction on the first question data. Optionally, the server may input the first question data into a preset intent extraction model to obtain intent information output by the intent extraction model. Optionally, the server may match the first question data with each candidate intent in a preset intent information library to select the candidate intent with the highest matching degree as the intent information corresponding to the first question data.

[0072] Step 202, determining various knowledge information according to the intention information.

[0073] Regarding the process of the server determining each piece of knowledge information based on the intent information, in a possible implementation, the server may match the intent information with each piece of candidate information stored in a database to obtain a matching degree corresponding to each piece of candidate information, and then determine each piece of knowledge information from each piece of candidate information based on each matching degree, and the matching degree corresponding to each piece of knowledge information meets a preset screening condition.

[0074] In an embodiment of the present application, the server can sort the matching degrees in descending order. Optionally, the preset filtering condition can be a matching degree threshold, and the server can select candidate information with a matching degree greater than the matching degree threshold as knowledge information; optionally, the preset filtering condition can be selecting the first N according to the sorting, where N is an integer and can be set according to actual needs. The server can select the first N candidate information in the sorting as knowledge information.

[0075] In a possible implementation, in order to visualize the first question data and the knowledge information corresponding to it, so as to more clearly extract the association between the first question data and the knowledge information corresponding to it, the server can also obtain identification information corresponding to each candidate information, and generate knowledge matching information based on each identification information and each matching degree, and display the knowledge matching information on the knowledge question and answer page. The knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0076] In a possible implementation, the knowledge matching information can refer to Figure 3 ,This figure is a relationship diagram between matching degree and identification information, where each point represents a candidate information, the vertical axis is matching degree, and the horizontal axis is identification information. The server can generate Figure 3In the knowledge matching information in the embodiment of the present application, for candidate information with different matching degrees, the server can also use different colors when generating corresponding points, so as to more intuitively display the matching degree between each candidate information and the first question data.

[0077] In one embodiment, referring to Figure 4 , provides an exemplary information management method, which can be applied to Figure 1 In the implementation environment shown.

[0078] Step 401, display the knowledge question and answer page.

[0079] Among them, the knowledge question and answer page includes a first question control.

[0080] Step 402: Acquire first question data based on the first question control, and extract intent from the first question data to obtain intent information corresponding to the first question data.

[0081] Step 403, matching the intention information with each candidate information stored in the database to obtain the matching degree corresponding to each candidate information.

[0082] Step 404 , determining each piece of knowledge information from each piece of candidate information according to each matching degree, and the matching degree corresponding to each piece of knowledge information meets a preset screening condition.

[0083] Step 405, input each piece of knowledge information into a preset language model, obtain summary information corresponding to each piece of knowledge information, and display the summary information on the knowledge question and answer page.

[0084] Step 406: Obtain identification information corresponding to each candidate information.

[0085] Step 407, generating knowledge matching information according to each identification information and each matching degree, and displaying the knowledge matching information on the knowledge question and answer page.

[0086] The knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0087] Among them, the knowledge question and answer page includes a second question control.

[0088] Step 408: obtaining second question data based on the second question control, where the second question data is associated with the first question data.

[0089] Step 409: input the second question data and each piece of knowledge information into a preset language model to obtain answer information corresponding to the second question data.

[0090] Step 410, display the answer information in the knowledge question and answer page.

[0091] Among them, the knowledge question and answer page also includes a knowledge information display control.

[0092] Step 411, in response to a trigger operation on a knowledge information display control, at least various knowledge information are displayed in the knowledge question and answer page.

[0093] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0094] Based on the above embodiments, refer to Figure 5 , is a schematic diagram of an exemplary knowledge question and answer page. It can be seen that the knowledge answer page may include a first question control for obtaining first question data, a second question control for obtaining second question data, and a knowledge information display control for displaying knowledge information. In an embodiment of the present application, the knowledge answer page may also include a control for displaying knowledge information and a control for displaying answer information, and may also include a control for exiting the current page, etc.

[0095] Based on the same inventive concept, the embodiment of the present application also provides an information management device for implementing the above-mentioned information management method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the one or more information management device embodiments provided below can refer to the limitations on the information management method above, and will not be repeated here.

[0096] In an exemplary embodiment, Figure 6 As shown, an information management device is provided, including: a display module 601, a determination module 602 and a summary module 603, wherein:

[0097] A display module 601 is used to display a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control;

[0098] A determination module 602 is configured to obtain first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0099] The summary module 603 is used to input each piece of knowledge information into a preset language model, obtain summary information corresponding to each piece of knowledge information, and display the summary information in the knowledge question and answer page.

[0100] In one embodiment, the determination module 602 includes:

[0101] an intention extraction unit, configured to extract the intention of the first question data to obtain intention information corresponding to the first question data;

[0102] The knowledge information determination unit is used to determine each piece of knowledge information according to the intention information.

[0103] In one embodiment, the knowledge information determination unit is specifically configured to perform:

[0104] Matching the intention information with each candidate information stored in the database to obtain a matching degree corresponding to each candidate information;

[0105] According to each of the matching degrees, each of the knowledge information is determined from each of the candidate information, and the matching degree corresponding to each of the knowledge information satisfies a preset screening condition.

[0106] In one embodiment, the apparatus further comprises:

[0107] An identification acquisition module, used to acquire identification information corresponding to each of the candidate information;

[0108] A knowledge matching information display module is used to generate knowledge matching information based on each of the identification information and each of the matching degrees, and to display the knowledge matching information in the knowledge question and answer page, wherein the knowledge matching information is used to characterize the matching degree between each of the candidate information and the first question data.

[0109] In one embodiment, the knowledge question and answer page includes a second question control, and the device further includes:

[0110] A follow-up question module, configured to obtain second question data based on the second question control, where the second question data is associated with the first question data;

[0111] an answering module, used for inputting the second question data and each piece of the knowledge information into the preset language model to obtain answer information corresponding to the second question data;

[0112] The answer display module is used to display the answer information in the knowledge question and answer page.

[0113] In one embodiment, the knowledge question and answer page further includes a knowledge information display control, and the device further includes:

[0114] The knowledge information display module is used to display at least each piece of knowledge information in the knowledge question and answer page in response to a trigger operation on the knowledge information display control.

[0115] Each module in the above information management device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0116] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store information management data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an information management method is implemented.

[0117] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, an information management method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0118] Those skilled in the art will understand that Figure 7 and Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0119] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0120] Displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control;

[0121] Acquire first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0122] Each piece of knowledge information is input into a preset language model to obtain summary information corresponding to each piece of knowledge information, and the summary information is displayed on the knowledge question and answer page.

[0123] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0124] Performing intent extraction on the first question data to obtain intent information corresponding to the first question data;

[0125] Each piece of knowledge information is determined according to the intention information.

[0126] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0127] Matching the intention information with each candidate information stored in the database to obtain a matching degree corresponding to each candidate information;

[0128] According to each of the matching degrees, each of the knowledge information is determined from each of the candidate information, and the matching degree corresponding to each of the knowledge information satisfies a preset screening condition.

[0129] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0130] Obtain identification information corresponding to each of the candidate information;

[0131] Knowledge matching information is generated according to each identification information and each matching degree, and the knowledge matching information is displayed on the knowledge question and answer page, wherein the knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0132] In one embodiment, the knowledge question and answer page includes a second question control, and the processor further implements the following steps when executing the computer program:

[0133] Acquire second question data based on the second question control, where the second question data is associated with the first question data;

[0134] Inputting the second question data and each piece of the knowledge information into the preset language model to obtain answer information corresponding to the second question data;

[0135] The answer information is displayed in the knowledge question and answer page.

[0136] In one embodiment, the knowledge question and answer page further includes a knowledge information display control, and the processor further implements the following steps when executing the computer program:

[0137] In response to a triggering operation on the knowledge information display control, at least each piece of knowledge information is displayed in the knowledge question and answer page.

[0138] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0139] Displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control;

[0140] Acquire first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0141] Each piece of knowledge information is input into a preset language model to obtain summary information corresponding to each piece of knowledge information, and the summary information is displayed on the knowledge question and answer page.

[0142] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0143] Performing intent extraction on the first question data to obtain intent information corresponding to the first question data;

[0144] Each piece of knowledge information is determined according to the intention information.

[0145] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0146] Matching the intention information with each candidate information stored in the database to obtain a matching degree corresponding to each candidate information;

[0147] According to each of the matching degrees, each of the knowledge information is determined from each of the candidate information, and the matching degree corresponding to each of the knowledge information satisfies a preset screening condition.

[0148] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0149] Obtain identification information corresponding to each of the candidate information;

[0150] Knowledge matching information is generated according to each identification information and each matching degree, and the knowledge matching information is displayed on the knowledge question and answer page, wherein the knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0151] In one embodiment, the knowledge question and answer page includes a second question control, and when the computer program is executed by the processor, the following steps are further implemented:

[0152] Acquire second question data based on the second question control, where the second question data is associated with the first question data;

[0153] Inputting the second question data and each piece of the knowledge information into the preset language model to obtain answer information corresponding to the second question data;

[0154] The answer information is displayed in the knowledge question and answer page.

[0155] In one embodiment, the knowledge question and answer page further includes a knowledge information display control, and when the computer program is executed by the processor, the following steps are also implemented:

[0156] In response to a triggering operation on the knowledge information display control, at least each piece of knowledge information is displayed in the knowledge question and answer page.

[0157] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0158] Displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control;

[0159] Acquire first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data;

[0160] Each piece of knowledge information is input into a preset language model to obtain summary information corresponding to each piece of knowledge information, and the summary information is displayed on the knowledge question and answer page.

[0161] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0162] Performing intent extraction on the first question data to obtain intent information corresponding to the first question data;

[0163] Each piece of knowledge information is determined according to the intention information.

[0164] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0165] Matching the intention information with each candidate information stored in the database to obtain a matching degree corresponding to each candidate information;

[0166] According to each of the matching degrees, each of the knowledge information is determined from each of the candidate information, and the matching degree corresponding to each of the knowledge information satisfies a preset screening condition.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0168] Obtain identification information corresponding to each of the candidate information;

[0169] Knowledge matching information is generated according to each identification information and each matching degree, and the knowledge matching information is displayed on the knowledge question and answer page, wherein the knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

[0170] In one embodiment, the knowledge question and answer page includes a second question control, and when the computer program is executed by the processor, the following steps are further implemented:

[0171] Acquire second question data based on the second question control, where the second question data is associated with the first question data;

[0172] Inputting the second question data and each piece of the knowledge information into the preset language model to obtain answer information corresponding to the second question data;

[0173] The answer information is displayed in the knowledge question and answer page.

[0174] In one embodiment, the knowledge question and answer page further includes a knowledge information display control, and when the computer program is executed by the processor, the following steps are also implemented:

[0175] In response to a triggering operation on the knowledge information display control, at least each piece of knowledge information is displayed in the knowledge question and answer page.

[0176] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0177] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0178] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0179] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An information management method, characterized in that: The method comprises: Displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control; Acquire first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data; Each piece of knowledge information is input into a preset language model to obtain summary information corresponding to each piece of knowledge information, and the summary information is displayed on the knowledge question and answer page.

2. The method according to claim 1, characterized in that The determining, according to the first question data, at least one piece of knowledge information corresponding to the first question data includes: Performing intent extraction on the first question data to obtain intent information corresponding to the first question data; Each piece of knowledge information is determined according to the intention information.

3. The method according to claim 2, characterized in that The determining each piece of knowledge information according to the intention information includes: Matching the intention information with each candidate information stored in the database to obtain a matching degree corresponding to each candidate information; According to each of the matching degrees, each of the knowledge information is determined from each of the candidate information, and the matching degree corresponding to each of the knowledge information satisfies a preset screening condition.

4. The method according to claim 3, characterized in that The method further comprises: Obtain identification information corresponding to each of the candidate information; Knowledge matching information is generated according to each identification information and each matching degree, and the knowledge matching information is displayed on the knowledge question and answer page, wherein the knowledge matching information is used to characterize the matching degree between each candidate information and the first question data.

5. The method according to any one of claims 1 to 4, characterized in that: The knowledge question and answer page includes a second question control, and the method further includes: Acquire second question data based on the second question control, where the second question data is associated with the first question data; Inputting the second question data and each piece of the knowledge information into the preset language model to obtain answer information corresponding to the second question data; The answer information is displayed in the knowledge question and answer page.

6. The method according to claim 1, characterized in that The knowledge question and answer page also includes a knowledge information display control, and the method further includes: In response to a triggering operation on the knowledge information display control, at least each piece of knowledge information is displayed in the knowledge question and answer page.

7. An information management device, characterized in that: The device comprises: A display module, used for displaying a knowledge question and answer page, wherein the knowledge question and answer page includes a first question control; a determination module, configured to obtain first question data based on the first question control, and determine at least one piece of knowledge information corresponding to the first question data according to the first question data; The summary module is used to input each piece of knowledge information into a preset language model, obtain summary information corresponding to each piece of knowledge information, and display the summary information in the knowledge question and answer page.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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