System document management method and device and computer equipment

By conducting large-scale analysis of institutional documents and building institutional relationship trees, the problem of low efficiency in institutional document management in the existing technology is solved, and more efficient and accurate institutional document management is achieved.

CN119782257APending Publication Date: 2025-04-08CHINA LIFE INSURANCE CO LTD
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Patent Information

Application Number
CN202510006705.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-03
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

The existing institutional document management methods cannot accurately reflect the relationship between institutional documents, and rely on manually predefined rules and templates during the management process, resulting in low management efficiency.

Method used

By obtaining multiple institutional documents stored in the central database, inputting them into the large model for preliminary analysis, extracting key information and association relationships, building a basis link and institutional relationship tree, and displaying them in hierarchical terms through the terminal interface.

Benefits of technology

It has achieved efficient extraction of key information and association relationships of institutional documents, and clearly displayed the relationships between documents through a structured institutional relationship tree, which has improved the efficiency and accuracy of institutional document management.

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Abstract

The invention relates to a system document management method and device, computer equipment, a storage medium and a computer program product. Relates to the technical field of data processing. The method comprises the following steps: acquiring a plurality of system documents stored in a central database, inputting the plurality of system documents into a large model, and instructing the large model to preliminarily analyze the plurality of system documents to obtain key information, a first association relationship and a formulating basis of each system document; further instructing the large model to analyze the formulation basis of each system document, and obtaining a second association relationship of the plurality of system documents; constructing a basis chain corresponding to the plurality of system documents based on the second association relationship; based on the key information of the plurality of system documents, the first association relationship, the formulating basis and the basis chain, determining the association relationship between the nodes corresponding to the plurality of system documents; and constructing a system relationship tree according to the association relationship, and displaying the plurality of system documents hierarchically through a terminal interface based on the system relationship tree. By adopting the method, the system document management efficiency can be improved.
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Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a system document management method, apparatus, computer equipment, storage medium and computer program product. Background Art

[0002] In the current enterprise management process, the formulation and updating of system documents and policy documents are relatively frequent, and there are complex relationships between them. Therefore, how to efficiently manage system documents has become a problem to be solved.

[0003] However, the current institutional document management methods, such as manual classification and directory structure storage, cannot accurately reflect the relationship between institutional documents, and rely on manually predefined rules and templates during the management process, which cannot efficiently and accurately manage large-scale and complex institutional data. Therefore, there is currently a problem of low efficiency in institutional document management. Summary of the invention

[0004] Based on this, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium and computer program product capable of system document management in order to address the technical problem of low efficiency of system document management mentioned above.

[0005] In a first aspect, the present application provides a system document management method, comprising:

[0006] Acquire multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each of the system documents; the first association relationship is a reference relationship contained in each of the system documents, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship;

[0007] Further instructing the large model to analyze the formulation basis of each system document to obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of system documents;

[0008] Building a basis chain corresponding to a plurality of the system documents based on the second association relationship;

[0009] Determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis, and the basis chain;

[0010] A system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

[0011] In one of the embodiments, before acquiring multiple policy documents stored in a central database, inputting the multiple policy documents into a large model, and instructing the large model to preliminarily analyze the multiple policy documents, it includes: collecting the policy documents from a file management system, a cloud storage server, and an open data platform; and storing the collected policy documents in the central database.

[0012] In one of the embodiments, constructing the basis chain based on the second association relationship includes: constructing the basis chain according to the direct reference relationship, the indirect reference relationship and / or the inheritance relationship of each of the system documents.

[0013] In one embodiment, the system relationship tree includes multiple nodes; constructing the system relationship tree based on the association relationship includes: obtaining the association relationship between each of the system documents and creating a node for each of the system documents; determining the second association relationship of each of the system documents, connecting each node according to the second association relationship, and forming the system relationship tree.

[0014] In one of the embodiments, the display content of the multiple system documents displayed in a hierarchical manner through the terminal interface based on the system relationship tree includes: each node of the system relationship tree, the connection between each node and the key information of the multiple system documents; wherein the key information includes the system name, release date and formulating agency of the multiple system documents.

[0015] In one of the embodiments, the terminal interface includes a query function, and the system document management method also includes: obtaining each of the nodes in the system relationship tree and the connection between the nodes; based on each of the nodes and the connection between the nodes, allowing the terminal interface to perform keyword search and hierarchical browsing of multiple system documents.

[0016] In a second aspect, the present application also provides a system document management device, including:

[0017] A data acquisition module is used to acquire multiple system documents stored in a central database, input the multiple system documents into a large model, and instruct the large model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each system document; the first association relationship is a reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship;

[0018] A data analysis module, used to further instruct the large model to analyze the formulation basis of each system document, and obtain a second association relationship of a plurality of the system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of the system documents;

[0019] A construction module, used for constructing a basis chain corresponding to a plurality of the system documents based on the second association relationship;

[0020] A determination module, configured to determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis and the basis chain;

[0021] A display module is used to construct a system relationship tree according to the association relationship, and to display multiple system documents in a hierarchical manner through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

[0022] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0023] Acquire multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each of the system documents; the first association relationship is a reference relationship contained in each of the system documents, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship;

[0024] Further instructing the large model to analyze the formulation basis of each system document to obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of system documents;

[0025] Building a basis chain corresponding to a plurality of the system documents based on the second association relationship;

[0026] Determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis, and the basis chain;

[0027] A system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

[0028] In a fourth aspect, the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0029] Acquire multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each of the system documents; the first association relationship is a reference relationship contained in each of the system documents, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship;

[0030] Further instructing the large model to analyze the formulation basis of each system document to obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of system documents;

[0031] Building a basis chain corresponding to a plurality of the system documents based on the second association relationship;

[0032] Determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis, and the basis chain;

[0033] A system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

[0034] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, which implements the following steps when executed by a processor:

[0035] Acquire multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each of the system documents; the first association relationship is a reference relationship contained in each of the system documents, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship;

[0036] Further instructing the large model to analyze the formulation basis of each system document to obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of system documents;

[0037] Building a basis chain corresponding to a plurality of the system documents based on the second association relationship;

[0038] Determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis, and the basis chain;

[0039] A system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

[0040] The above-mentioned system document management method, device, computer equipment, storage medium and computer program product have the following beneficial effects in the process of system document management: first, multiple system documents stored in the central database are obtained, the multiple system documents are input into the big model, and the big model is instructed to preliminarily analyze the multiple system documents to obtain the key information, the first association relationship and the basis for formulation of each system document; the first association relationship is the reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship and / or an inheritance relationship; then the big model is further instructed to analyze the basis for formulation of each system document to obtain the second association relationship of multiple system documents; the second association relationship is used to characterize the relationship between the basis for formulation of multiple system documents; then, based on the second association relationship, a basis chain corresponding to multiple system documents is constructed; then, based on the key information, the first association relationship, the basis for formulation and the basis chain of multiple system documents, the association relationship between the nodes corresponding to the multiple system documents is determined; finally, a system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through the terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents a system document, and the lines between the nodes represent the relationship between the system documents. In the above process, by inputting multiple system documents into the big model and instructing the big model to preliminarily analyze the multiple system documents, the key information and the first correlation relationship therein can be efficiently extracted; by structuring the relationship between multiple system documents into a system relationship tree, it is helpful to have a deeper understanding of the logic, mutual relationship and formulation basis of each system; through the hierarchical display of the terminal interface, the system information can be obtained more intuitively; by constructing a basis chain, the relationship between each system document can be clearly displayed; therefore, the above process effectively improves the management efficiency of system documents. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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 or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 An application environment diagram of a system document management method in an embodiment;

[0043] Figure 2 A detailed flowchart of the system document management steps in one embodiment;

[0044] Figure 3 A flowchart of a system document management method in another embodiment;

[0045] Figure 4A structural block diagram of a system document management device in an embodiment;

[0046] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] 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.

[0048] The system document management method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 obtains multiple system documents stored in the central database, inputs the multiple system documents into the big model, and instructs the big model to preliminarily analyze the multiple system documents to obtain the key information, the first association relationship and the basis for formulation of each system document; the first association relationship is the reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship and / or an inheritance relationship; then further instructs the big model to analyze the basis for formulation of each system document and obtain the second association relationship of multiple system documents; the second association relationship is used to characterize the relationship between the basis for formulation of multiple system documents; then, based on the second association relationship, a basis chain corresponding to multiple system documents is constructed; then, based on the key information, the first association relationship, the basis for formulation and the basis chain of multiple system documents, the association relationship between the nodes corresponding to multiple system documents is determined; finally, a system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through the terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents a system document, and the connection between the nodes represents the relationship between the system documents. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0049] In an exemplary embodiment, Figure 2 As shown, a system document management method is provided, which is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S202 to S206. Among them:

[0050] Step S202, obtain multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each system document; the first association relationship is a reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship and / or an inheritance relationship.

[0051] Among them, the central database refers to a system that stores multiple system documents, and the central database allows access and data acquisition; system documents refer to formal documents such as various rules and regulations; the big model refers to a natural language processing model based on deep learning, which can be used to automatically analyze text information; key information refers to important information extracted from system documents; the first association relationship refers to the relationship between different system documents; and the basis for formulation refers to the basis for the formulation of system documents.

[0052] Optionally, the first association relationship can make a preliminary judgment on whether there is an association relationship between different system documents, mainly using the deep semantic understanding ability of the model to achieve preliminary analysis. The judgment result may include the existence of an association relationship between different system documents or the absence of an association relationship between different system documents.

[0053] Step S204, further instructing the large model to analyze the basis for formulation of each system document, and obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the basis for formulation of the plurality of system documents.

[0054] Among them, the second association relationship refers to the relationship between the formulation bases of multiple system documents.

[0055] As an example, the second association relationship can be to use the contextual connection ability and deep semantic understanding ability of the model to further analyze the association relationship between different system documents. By comparing the formulation basis in different system documents, the association between them can be obtained. For example, the formulation of a certain system document is based on the modification or supplement of another system document; it can also include the type of association relationship judgment, such as direct reference relationship, indirect reference relationship and / or inheritance relationship.

[0056] Step S206, constructing a basis chain corresponding to a plurality of system documents based on the second association relationship.

[0057] Among them, the basis chain refers to the structure connecting different institutional bases formed based on the second association relationship, and the final basis chain can be formed according to the direct reference relationship, indirect reference relationship and / or inheritance relationship between each system.

[0058] Step S208, based on the key information of the multiple system documents, the first association relationship, the formulation basis and the basis chain, determine the association relationship between the nodes corresponding to the multiple system documents.

[0059] Among them, the association relationship refers to the way in which each node interacts with each other.

[0060] As an example, each policy document may be marked as a plurality of nodes to facilitate the management and identification of the policy document by the server.

[0061] Step S210, constructing an institutional relationship tree according to the association relationship, and displaying multiple institutional documents in a hierarchical manner through a terminal interface based on the institutional relationship tree; wherein each node in the institutional relationship tree represents an institutional document, and the lines between the nodes represent the relationship between the institutional documents.

[0062] Among them, the system relationship tree is a structural diagram used to present the relationship between various system documents; the terminal interface is a user interaction interface that can be used to display information; layered display refers to the way of presenting information, which displays complex data in a multi-level manner.

[0063] In the above-mentioned system document management method, first, multiple system documents stored in the central database are obtained, the multiple system documents are input into the big model, and the big model is instructed to preliminarily analyze the multiple system documents to obtain the key information, the first association relationship and the basis for formulation of each system document; the first association relationship is the reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship and / or an inheritance relationship; then the big model is further instructed to analyze the basis for formulation of each system document to obtain the second association relationship of multiple system documents; the second association relationship is used to characterize the relationship between the basis for formulation of multiple system documents; then, based on the second association relationship, a basis chain corresponding to multiple system documents is constructed; then, based on the key information, the first association relationship, the basis for formulation and the basis chain of multiple system documents, the association relationship between the nodes corresponding to the multiple system documents is determined; finally, a system relationship tree is constructed according to the association relationship, and based on the system relationship tree, multiple system documents are displayed hierarchically through the terminal interface; wherein, each node in the system relationship tree represents an system document, and the lines between the nodes represent the relationship between the system documents. In the above process, by inputting multiple system documents into the big model and instructing the big model to preliminarily analyze the multiple system documents, the key information and the first correlation relationship therein can be efficiently extracted; by structuring the relationship between multiple system documents into a system relationship tree, it is helpful to have a deeper understanding of the logic, mutual relationship and formulation basis of each system; through the hierarchical display of the terminal interface, the system information can be obtained more intuitively; by constructing a basis chain, the relationship between each system document can be clearly displayed; therefore, the above process effectively improves the management efficiency of system documents.

[0064] In an exemplary embodiment, before obtaining multiple policy documents stored in a central database, inputting the multiple policy documents into a large model, and instructing the large model to preliminarily analyze the multiple policy documents, it includes: collecting policy documents from a file management system, a cloud storage server, and an open data platform; and storing the collected policy documents in the central database.

[0065] Among them, multiple data sources refer to information sources from different platforms, different institutions or different channels, which may include official websites, specific institutions or research reports, etc.; in the process of collecting institutional documents, collection standards can be set, and institutional documents of the required institutional document type can be screened and collected accordingly; in the process of storing the collected institutional documents in the central database, tags can be added to the institutional documents to facilitate subsequent retrieval and use.

[0066] In this embodiment, by collecting system documents from multiple sources, the interrelated information can be integrated to make the collected system documents more complete; by storing the collected system documents in a central database, subsequent retrieval and analysis are facilitated, which helps the large model to quickly acquire and process data and improve analysis efficiency. In addition, by storing system documents in the central database, the security of the system documents can be enhanced, and management and maintenance can be facilitated.

[0067] Further, in one embodiment, the second association relationship includes a direct association relationship and an indirect association relationship; constructing a basis chain based on the second association relationship includes: constructing the basis chain according to direct reference relationships, indirect reference relationships and / or inheritance relationships of various system documents.

[0068] Among them, the second correlation relationship is an in-depth analysis of the direct reference relationship, indirect reference relationship and / or inheritance relationship between institutional documents; the direct correlation relationship refers to the direct reference or mutual dependence relationship between two or more institutional documents, which is usually simpler and clearer; the indirect correlation relationship refers to the relationship between institutional documents that needs to be reflected through multiple steps, which is usually more complicated; the identification of inheritance relationship can help establish logical connections between institutional documents and clarify the basis on which institutional documents are formulated and developed.

[0069] As an example, first, the server analyzes all institutional documents, identifies direct reference relationships, indirect reference relationships and / or inheritance relationships, and organizes the institutional documents that directly reference each other into the first level of basis. By tracing directly related documents, it further identifies the indirectly related institutional documents, establishes relationships between multiple levels, and forms a coherent basis framework; finally, the direct reference relationships, indirect reference relationships and / or inheritance relationships are integrated to form a basis chain.

[0070] In this embodiment, by analyzing the second association relationship, including direct reference relationship, indirect reference relationship and / or inheritance relationship, we can deeply understand the relationship between institutional documents and build a clear basis chain, which helps to achieve more efficient management of institutional documents; it not only improves the depth of understanding of institutional documents, but also improves the management efficiency of institutional documents.

[0071] In an exemplary embodiment, the system relationship tree includes multiple nodes; constructing the system relationship tree based on the association relationship includes: obtaining the association relationship between each system document and creating a node for each system document; determining the second association relationship of each system document, connecting each node according to the second association relationship, and forming the system relationship tree.

[0072] Among them, the system relationship tree is a diagram displayed in a tree structure, which shows the mutual relationship between various system documents.

[0073] As an example, in the process of constructing the institutional relationship tree, each institutional document is regarded as a “node”, representing a different institutional entity, which is connected through the association relationships between them to form a comprehensive network structure, namely the institutional relationship tree.

[0074] In this embodiment, by identifying the association relationship and constructing the system relationship tree based on the association relationship, the relationship between various system documents and their impact can be clearly understood; by constructing the system relationship tree, a clear hierarchical structure between system documents can be obtained, helping users understand the logical relationship and impact path between system documents.

[0075] Furthermore, in one embodiment, the display content of multiple system documents displayed in a hierarchical manner through a terminal interface based on the system relationship tree includes: each node of the system relationship tree, the connection between each node and the key information of multiple system documents; wherein the key information includes the system name, release date and formulating agency of the multiple system documents.

[0076] Among them, in the institutional relationship tree, each node represents a specific institutional document; the institutional name of the institutional document helps to quickly classify the institutional documents based on the name; the release date of the institutional document helps to determine the validity of the institutional document; the connection line can intuitively show whether there is a direct or indirect relationship between different institutional documents.

[0077] In this embodiment, the system relationship tree constructs a clear system document network through nodes and lines, where nodes represent individual system documents and lines show the relationship between them. By providing information such as lines, system names, release dates and formulating agencies, it helps users to have a deeper understanding of the content of each system document and the relationship between each system document.

[0078] In an exemplary embodiment, the terminal interface includes a query function, and the system document management also includes: obtaining each node and the connection between nodes in the system relationship tree; based on each node and the connection between nodes, the terminal interface performs keyword search and hierarchical browsing of multiple system documents.

[0079] Among them, the terminal interface refers to the visual and functional interface that serves the user, which usually includes various function buttons, query options and display areas; the query function allows the user to enter specific search conditions to find relevant system documents; hierarchical browsing means that the user can browse the system documents according to a certain hierarchical structure. The hierarchical structure reflects the relationship and classification between system documents. Users can view the relevant system documents and the relationship between them by clicking on different nodes or directory levels.

[0080] In this embodiment, the query function in the terminal interface allows users to efficiently and accurately retrieve and view multiple system documents through keyword search and hierarchical browsing, which not only improves the convenience of obtaining information from system documents, but also improves user satisfaction.

[0081] This application provides a system document management method. In order to better understand the process of the above system document management method, combined with Figure 3 As shown, the specific process of the document management method of this application system is described in detail below, including the following steps:

[0082] Step S302, the server automatically or manually collects policy documents from various databases, document repositories or network sources.

[0083] Step S304, instructs the large model to perform a preliminary analysis on the document, extract key information and identify the first association relationship and formulation basis of the system document.

[0084] Step S306, analyzing the basis for the formulation of the system document, identifying the direct reference relationship, the indirect reference relationship and / or the inheritance relationship, and constructing a basis chain.

[0085] Step S308, constructing an institutional relationship tree.

[0086] Step S310, obtaining data corresponding to the institutional relationship tree from the server, providing an intuitive user interface, and displaying the institutional blood relationship tree.

[0087] The collected data is stored in the central data warehouse; the first association relationship is the reference relationship between institutional documents; the big model deeply understands the context of institutional documents, identifies and records the basis for the formulation of each institutional document, and forms a basis chain; each node in the institutional relationship tree represents an institutional document, and the lines between nodes represent the association relationship between institutional documents; in addition, before building the relationship tree, it is necessary to combine the data processing and analysis capabilities of the big model to query and determine the association relationship between different institutional documents; the user interface supports users to quickly query specific institutional documents and their related systems. Query optimization functions include keyword search and hierarchical browsing.

[0088] Furthermore, the algorithms and models involved include a large language model: using a pre-trained large model (Tongyi Qianwen 72B) to conduct in-depth semantic understanding of institutional documents, extract key information and identify the correlation between institutions; a relationship map construction algorithm: based on the analysis results of the large model, using graph database technology to build a system document blood relationship map to display the hierarchical structure and reference relationship between institutions; the system architecture and modules include a data acquisition module: responsible for the collection and preliminary processing of institutional documents; a data processing module: using a large model to extract information and formulate basis analysis; a relationship query and confirmation module: determining the blood relationship between institutional documents; a relationship tree construction module: building an institutional blood relationship tree based on the analysis results; a front-end display module: providing a user interface to display the institutional blood relationship tree and query functions.

[0089] Through the above embodiments, the deep semantic analysis of institutional documents using big models can more accurately and comprehensively extract the key information of institutional documents and identify the complex association relationships between institutions, and the accuracy and completeness of information extraction have been significantly improved; when processing large-scale institutional document sets, the efficiency and accuracy of identification are greatly improved; and, a comprehensive and systematic institutional relationship tree is automatically constructed using big models and graph database technology, which intuitively displays the hierarchical structure and reference relationships between institutions, providing users with a more systematic and comprehensive view of the institutional system; in addition, the designed user interface provides intuitive institutional relationship tree display and convenient query functions, allowing users to quickly locate and understand specific institutional documents and their associated institutional documents, improving the efficiency of institutional document queries and user experience; automated information extraction, association relationship identification, and blood relationship tree construction greatly reduce manual intervention and save human resources, while also significantly reducing the time cost of institutional document management and improving work efficiency.

[0090] 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.

[0091] Based on the same inventive concept, the embodiment of the present application also provides a system document management device for implementing the system document management method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more system document management device embodiments provided below can refer to the limitations of the system document management method above, and will not be repeated here.

[0092] In an exemplary embodiment, Figure 4 As shown, a system document management device is provided, including: a data acquisition module 401, a data analysis module 402, a construction module 403, a determination module 404 and a display module 405, wherein:

[0093] The data acquisition module 401 is used to obtain multiple system documents stored in the central database, input the multiple system documents into the large model, and instruct the large model to preliminarily analyze the multiple system documents to obtain the key information, the first association relationship and the basis for formulation of each system document; the first association relationship is the reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship and / or an inheritance relationship.

[0094] The data analysis module 402 is used to further instruct the large model to analyze the basis for the formulation of each system document and obtain the second association relationship of multiple system documents; the second association relationship is used to characterize the relationship between the basis for the formulation of multiple system documents.

[0095] The construction module 403 is used to construct a basis chain corresponding to multiple system documents based on the second association relationship.

[0096] The determination module 404 is used to determine the association relationship between the nodes corresponding to the multiple system documents based on the key information, the first association relationship, the formulation basis and the basis chain of the multiple system documents.

[0097] The display module 405 is used to construct a system relationship tree according to the association relationship, and display multiple system documents in layers through the terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents a system document, and the connection between the nodes represents the relationship between the system documents.

[0098] Furthermore, in one embodiment, the data acquisition module 401 is also used to collect policy documents from the file management system, the cloud storage server and the open data platform; and store the collected policy documents in the central database.

[0099] Furthermore, in one embodiment, the construction module 403 is also used to construct a basis chain according to the direct reference relationship, indirect reference relationship and / or inheritance relationship of each system document.

[0100] Furthermore, in one embodiment, the display module 405 is also used to obtain the association relationship between each system document and create a node for each system document; determine the second association relationship of each system document, connect each node according to the second association relationship, and form a system relationship tree.

[0101] Furthermore, in one embodiment, the display module 405 is also used for each node of the system relationship tree, the connection between each node and the key information of multiple system documents; wherein the key information includes the system name, release date and formulation agency of the multiple system documents.

[0102] Furthermore, in one embodiment, the display module 405 is also used to obtain each node and the connection between nodes in the system relationship tree; based on each node and the connection between nodes, the terminal interface performs keyword search and hierarchical browsing on multiple system documents.

[0103] Each module in the above-mentioned system document management device can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0104] 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 5As 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 system document 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, a system document management method is implemented.

[0105] Those skilled in the art will understand that Figure 5 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.

[0106] 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 the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0107] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0108] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0109] 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.

[0110] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 this application can include at least one of non-volatile 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), magnetoresistive 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, etc., but are not limited to this.

[0111] 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 specification.

[0112] 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. A system document management method, characterized in that: The method comprises: Acquire multiple system documents stored in the central database, input the multiple system documents into the big model, and instruct the big model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each of the system documents; the first association relationship is a reference relationship contained in each of the system documents, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship; Further instructing the large model to analyze the formulation basis of each system document to obtain a second association relationship between the plurality of system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of system documents; Building a basis chain corresponding to a plurality of the system documents based on the second association relationship; Determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis, and the basis chain; A system relationship tree is constructed according to the association relationship, and multiple system documents are displayed hierarchically through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

2. The method according to claim 1, characterized in that Before acquiring a plurality of policy documents stored in the central database, inputting the plurality of policy documents into the large model, and instructing the large model to preliminarily analyze the plurality of policy documents, the method includes: Collect the institutional documents from document management systems, cloud storage servers, and open data platforms; The collected system documents are stored in the central database.

3. The method according to claim 1, characterized in that The constructing a basis chain based on the second association relationship includes: The basis chain is constructed according to the direct reference relationship, the indirect reference relationship and / or the inheritance relationship of each of the system documents.

4. The method according to claim 1, characterized in that The institutional relationship tree includes a plurality of nodes; The step of constructing a system relationship tree according to the association relationship includes: Acquire the association relationship between each of the system documents, and create a node for each of the system documents; The second association relationship of each of the system documents is determined, and each node is connected according to the second association relationship to form the system relationship tree.

5. The method according to claim 1, characterized in that The display content of the plurality of system documents displayed hierarchically through the terminal interface based on the system relationship tree includes: Each node of the system relationship tree, the connection between each node and the key information of multiple system documents; wherein the key information includes the system name, release date and formulation agency of multiple system documents.

6. The method according to claim 5, characterized in that The terminal interface includes a query function; the method further includes: Obtain each of the nodes in the institutional relationship tree and the connection between the nodes; Based on each of the nodes and the connections between the nodes, the terminal interface performs keyword search and hierarchical browsing on the plurality of system documents.

7. A system document management device, characterized in that: The device comprises: A data acquisition module is used to acquire multiple system documents stored in a central database, input the multiple system documents into a large model, and instruct the large model to preliminarily analyze the multiple system documents to obtain key information, a first association relationship, and a formulation basis of each system document; the first association relationship is a reference relationship contained in each system document, and the reference relationship includes a direct reference relationship, an indirect reference relationship, and / or an inheritance relationship; A data analysis module, used to further instruct the large model to analyze the formulation basis of each system document, and obtain a second association relationship of a plurality of the system documents; the second association relationship is used to characterize the relationship between the formulation basis of the plurality of the system documents; A construction module, used for constructing a basis chain corresponding to a plurality of the system documents based on the second association relationship; A determination module, configured to determine the association relationship between the nodes corresponding to the plurality of system documents based on the key information of the plurality of system documents, the first association relationship, the formulation basis and the basis chain; A display module is used to construct a system relationship tree according to the association relationship, and to display multiple system documents in a hierarchical manner through a terminal interface based on the system relationship tree; wherein each node in the system relationship tree represents one of the system documents, and the lines between the nodes represent the relationship between the system documents.

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.