Information derivation method and device based on information granularity, equipment and medium

Abstract

The application relates to the technical field of artificial intelligence, and discloses an information export method based on information granularity, which comprises the following steps: acquiring multiple types of information stored in an information management system and information granularity of the types of information; querying business backgrounds of multiple pieces of to-be-exported information in the information management system, and generating identifiers of the multiple pieces of to-be-exported information according to the business backgrounds; associating the identifiers of the multiple pieces of to-be-exported information with the information granularity according to types of the to-be-exported information, so as to obtain export granularity of the multiple pieces of to-be-exported information; determining a target export granularity of a target user according to a trust level of the target user, and selecting to-be-exported information corresponding to the target export granularity from the multiple pieces of to-be-exported information for export. The application further discloses an information export device based on information granularity, equipment and a storage medium. The application further relates to the blockchain technology, and the information granularity can be stored in a blockchain node. The application can improve the confidentiality during information export.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence technology, and in particular to an information extraction method, apparatus, electronic device, and computer-readable storage medium based on information granularity. Background Technology

[0002] In an information management system that is gradually becoming more information-based, the information resources obtained after the data from various business operations are aggregated need to be exported manually or on a timed basis to generate various reports or files before these organized information resources can be sent to users.

[0003] However, manual operation usually involves users organizing information resources and generating files according to their needs. This method of acquiring information resources is very labor-intensive, and for users with lower privileges, they often have to seek help from more professional people to achieve this goal. They cannot acquire information resources independently. Furthermore, using timed triggering to export information will result in all users receiving the same information resources, thus compromising the confidentiality of the exported information resources. Summary of the Invention

[0004] This invention provides an information export method, apparatus, electronic device, and computer-readable storage medium based on information granularity, the main purpose of which is to improve the confidentiality of information export.

[0005] To achieve the above objectives, the present invention provides an information derivation method based on information granularity, comprising:

[0006] Acquire multiple types of information stored in the information management system and identify the information granularity of each type of information;

[0007] Query the business background of multiple pieces of information to be exported in the information management system, and generate identifiers for multiple pieces of information to be exported based on the business background;

[0008] According to the type of the information to be exported, the identifiers of multiple pieces of information to be exported are associated with the information granularity to obtain the export granularity of multiple pieces of information to be exported;

[0009] Query the trust level of the target user, determine the target export granularity of the target user based on the trust level, and select the export information corresponding to the export granularity that matches the target export granularity from multiple export information to be exported and export it.

[0010] Optionally, the business background for querying multiple pieces of information to be exported from the information management system includes:

[0011] Obtain multiple pieces of information to be exported from the information management system;

[0012] analyzing the plurality of information to be exported to obtain image information or text information corresponding to the plurality of information to be exported;

[0013] determining a business background of the plurality of information to be exported in the information management system based on the image information or the text information.

[0014] Optionally, the generating of the identification of the plurality of information to be exported according to the business background comprises:

[0015] traversing a preset business identification library to determine whether the business identification corresponding to the business background exists in the business identification library;

[0016] when the business identification corresponding to the business background exists in the business identification library, obtaining the business identification corresponding to the business background as the identification of the information to be exported;

[0017] when the business identification corresponding to the business background does not exist in the business identification library, generating an identification for the business background in the business identification library, and taking the generated identification as the identification of the information to be exported.

[0018] Optionally, the associating of the identification of the plurality of information to be exported with the information granularity according to the type of the information to be exported comprises:

[0019] obtaining a configuration page of the information management system, and establishing an information sorting table in the configuration page;

[0020] creating an identification column in the information sorting table according to the type of the information to be exported, adding the identification of the information to be exported into the identification column, and obtaining an identification information table;

[0021] obtaining the information granularity corresponding to the identification in the identification column in the identification information table, and adding the information granularity into the identification information table, so as to associate the identification of the information to be exported with the information granularity.

[0022] Optionally, before the querying of the business background of the plurality of information to be exported in the information management system, the method further comprises:

[0023] sorting the plurality of information to be exported in the information management system to obtain a plurality of sorted information to be exported.

[0024] Optionally, the sorting of the plurality of information to be exported in the information management system to obtain a plurality of sorted information to be exported comprises:

[0025] textualizing the plurality of information to be exported to obtain a plurality of text information to be exported;

[0026] The plurality of to-be-exported text information are deduplicated based on a text similarity algorithm to obtain a plurality of deduplicated text information.

[0027] Non-keywords in the plurality of deduplicated text information are removed, and the plurality of deduplicated text information after the non-keywords are removed are tabularized to obtain a plurality of collated to-be-exported information.

[0028] Optionally, the information management system stores a plurality of type information, and the information granularity of each type information is identified, including:

[0029] A pre-constructed information granularity table is obtained.

[0030] The dimension number of the plurality of type information stored in the information management system is queried.

[0031] The information granularity of the plurality of type information is queried in the information granularity table according to the dimension number of the plurality of type information.

[0032] To solve the above problems, the application further provides an information export device based on information granularity, which comprises:

[0033] An information granularity acquisition module is configured to acquire a plurality of type information stored in an information management system and identify the information granularity of each type information.

[0034] An identification generation module is configured to query the business background of a plurality of to-be-exported information in the information management system and generate an identification of the plurality of to-be-exported information according to the business background.

[0035] An export granularity confirmation module is configured to associate the identification of the plurality of to-be-exported information with the information granularity according to the type of the to-be-exported information to obtain the export granularity of the plurality of to-be-exported information.

[0036] A target information export module is configured to query the trust level of a target user, determine the target export granularity of the target user according to the trust level of the target user, and export the to-be-exported information corresponding to the target export granularity from the plurality of to-be-exported information.

[0037] To solve the above problems, the application further provides an electronic device, which comprises:

[0038] At least one processor; and

[0039] A memory in communication connection with the at least one processor; wherein

[0040] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the information granularity-based information derivation method as described above.

[0041] To solve the above problems, the application further provides a computer readable storage medium, comprising a storage data area and a storage program area, the storage data area stores created data, and the storage program area stores a computer program; wherein the computer program is executed by a processor to implement the information granularity-based information derivation method as described above.

[0042] In the embodiment of the application, the information granularity of storing a plurality of types of information in the information management system is acquired, the information is divided by granularity, the business background of a plurality of to-be-derived information in the information management system is queried, the identification of the plurality of to-be-derived information is generated according to the business background, the identification of the plurality of to-be-derived information is associated with the information granularity according to the type of the to-be-derived information, the derivation granularity of the plurality of to-be-derived information is obtained, then the to-be-derived information of the corresponding information granularity is derived for different target users according to the different trust levels of the different target users, it is ensured that the granularity of the information obtained by users with different trust levels is different, it is avoided that the confidential information is derived for users with unmatched trust levels, and the confidentiality during information derivation is improved. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 A flowchart of an information granularity-based information derivation method provided by an embodiment of the application is shown.

[0044] Figure 2 A module diagram of an information granularity-based information derivation device provided by an embodiment of the application is shown.

[0045] Figure 3 An internal structure diagram of an electronic device for implementing the information granularity-based information derivation method provided by an embodiment of the application is shown.

[0046] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are merely intended to explain the application, and are not intended to limit the application.

[0048] The embodiment of the present application provides a method for information export based on information granularity. The execution subject of the method for information export based on information granularity includes but is not limited to at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the present application. The server can be an independent server, or a cloud server providing cloud services, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content distribution network (CDN), and basic cloud computing services such as big data and artificial intelligence platform. In other words, the method for information export based on information granularity can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to a single server, a server cluster, a cloud server, or a cloud server cluster.

[0049] Referring to Figure 1 FIG. 1 is a flowchart of a method for information export based on information granularity provided by an embodiment of the present application. In the embodiment, the method for information export based on information granularity includes the following steps.

[0050] S1, acquiring a plurality of types of information stored in an information management system, and identifying information granularity of each type of information.

[0051] In the embodiment of the present application, the information management system stores a plurality of types of information, the information granularity of the types of information, and a configuration page configured to display the types of information. For example, a medical information management system applied to a medical field stores disease information of all patients in a hospital.

[0052] Specifically, the information granularity refers to the relative size or the relative roughness of an information unit in the information management system. The higher the information refinement degree, the more the information dimension, and the smaller the granularity. The lower the information refinement degree, the less the information dimension, and the larger the granularity. Further, the information granularity can also be used to represent the scope of ownership of information resources. For example, in a medical information management system, different granularities such as hospital area, department, and individual can be divided according to the permissions of different callers.

[0053] Specifically, the configuration page for displaying the information resources can be a computer page displayed after the computer loads the information management system, and generally includes basic elements such as text, image, table, and hyperlink.

[0054] In the embodiment of the present application, the acquiring a plurality of types of information stored in an information management system, and identifying information granularity of each type of information includes:

[0055] obtaining a pre-constructed information granularity table;

[0056] querying a dimension number of a plurality of the type information stored in the information management system;

[0057] querying an information granularity of a plurality of the type information in the information granularity table according to the dimension number of a plurality of the type information.

[0058] In the embodiment of the present application, the information granularity table has a corresponding relationship between the dimension number of information and the information granularity. The dimension number is the number of representation directions of information, for example, in blood routine test, the number of white blood cells, red blood cells and platelets are detected, and the dimension number of blood routine test information is 3.

[0059] In the embodiment of the present application, the different information granularities of different type information stored in the information management system are determined by the complexity of information, for example, the dimension number of a patient's disease description is 6, and the complexity of the patient's disease information is 6, and the information granularity is 6.

[0060] In the embodiment of the present application, by obtaining the information granularity of each type information stored in the information management system, the information resources in the information management system can be distinguished by different information granularities, the information resources can be finely divided, and different target users can be provided with information resources with different fineness according to different user permissions.

[0061] S2, querying the business background of a plurality of to-be-exported information in the information management system, and generating a plurality of identification of the to-be-exported information according to the business background.

[0062] In the embodiment of the present application, the to-be-exported information is information stored in the information management system and needed to be exported based on a certain purpose. For example, in a medical information management system, the medical information of a patient A obtained by a medical device is stored, and when the patient A's condition needs to be diagnosed, the medical information of the patient A needs to be exported from the medical information management system.

[0063] In the embodiment of the present application, the business background is the background of the information resources in the information management system, for example, the business background of information in a medical information management system is medical business.

[0064] In the embodiment of the present application, when the instruction of exporting information to the target user is received, the to-be-exported information in the information management system is obtained.

[0065] Further, before the querying the business background of a plurality of to-be-exported information in the information management system, the method further comprises:

[0066] The plurality of to-be-exported information in the information management system is arranged to obtain a plurality of arranged to-be-exported information.

[0067] In the embodiment of the present application, the plurality of to-be-exported information in the information management system is arranged to obtain a plurality of arranged to-be-exported information, comprising:

[0068] The plurality of to-be-exported information is texted to obtain a plurality of to-be-exported text information.

[0069] The plurality of to-be-exported text information is de-duplicated based on a text similarity algorithm to obtain a plurality of de-duplicated text information.

[0070] Non-keywords in the plurality of de-duplicated text information are removed, and the plurality of de-duplicated text information after removing the non-keywords is tabulated to obtain a plurality of arranged to-be-exported information.

[0071] Specifically, the text similarity algorithm can be a text similarity algorithm based on Euclidean distance, which is used to calculate the similarity of the vectorized to-be-exported text information through the Euclidean distance formula after the to-be-exported text information is vectorized.

[0072] Further, the non-keywords are prepositions, conjunctions, auxiliary words, pronouns, adverbs, etc. By removing the non-keywords, the main content of the de-duplicated text information can be highlighted, and irrelevant information can be avoided.

[0073] In the embodiment of the present application, the to-be-exported information in the information management system is mainly arranged, that is, the to-be-exported information is summarized and tabulated to make the to-be-exported information systematic and orderly to meet the needs of users. The to-be-exported information in the arranged information management system can be displayed in the form of a list, a graph, etc. For example, the to-be-exported information in a medical information management system can be presented in the form of a prescription, a test report, and a report.

[0074] Specifically, the identifier is an identifier for determining the uniqueness of the to-be-exported information. For example, in a medical information management system, the information of a patient can be identified by the patient's number in the medical information management system.

[0075] In the embodiment of the present application, the business background of the plurality of to-be-exported information in the information management system is queried, comprising:

[0076] The plurality of to-be-exported information in the information management system is obtained.

[0077] The plurality of to-be-exported information is parsed to obtain image information or text information corresponding to the plurality of to-be-exported information.

[0078] Determine a business background of a plurality of the information to be exported based on the image information or the text information.

[0079] In the embodiment of the present application, the information to be exported is parsed by converting the data format of the information to be exported, so that the information to be exported after the data format conversion can be directly displayed in the form of image information or text information through the configuration page.

[0080] In the embodiment of the present application, the identification of the information to be exported is generated according to the business background, comprising:

[0081] Traverse a preset business identification library to determine whether the business identification corresponding to the business background exists in the business identification library;

[0082] When the business identification corresponding to the business background exists in the business identification library, the business identification corresponding to the business background is obtained as the identification of the information to be exported;

[0083] When the business identification corresponding to the business background does not exist in the business identification library, an identification is generated for the business background in the business identification library, and the generated identification is taken as the identification of the information to be exported.

[0084] In the embodiment of the present application, the business identification library stores the business identification.

[0085] S3, associate the identification of a plurality of the information to be exported with the information granularity according to the type of the information to be exported, to obtain the export granularity of a plurality of the information to be exported.

[0086] In the embodiment of the present application, the information to be exported is part of information resources in the information management system.

[0087] In the embodiment of the present application, the identification of a plurality of the information to be exported and the information granularity can be associated by calling the configuration page of the information management system, so as to provide the information granularity for a plurality of the information to be exported.

[0088] In the embodiment of the present application, the association of the identification of a plurality of the information to be exported with the information granularity according to the type of the information to be exported comprises:

[0089] Obtain the configuration page of the information management system, and establish a sorting information table in the configuration page;

[0090] Create an identification column in the sorting information table according to the type of the information to be exported, add the identification of the information to be exported into the identification column, and obtain an identification information table;

[0091] According to the identification in the identification information table column, the corresponding information granularity is obtained, and the information granularity is added to the identification information table, and the identification of the to-be-exported information is associated with the information granularity.

[0092] S4, query the trust level of the target user, determine the target export granularity of the target user according to the trust level of the target user, and select the to-be-exported information corresponding to the export granularity matching the target export granularity from the plurality of to-be-exported information for export.

[0093] In the embodiment of the application, the target user is a user who retrieves information resources from the information management system, for example, if the information management system is a medical information management system applied to the medical field, the target user can be a doctor and a patient, wherein the doctor and the patient have different trust levels and obtain different information granularity of information resources, and the embodiment of the application can provide different information granularity of information resources for different target users.

[0094] In the embodiment of the application, the trust level of the target user can also be referred to as the permission level, and different users can be provided with different information granularity of to-be-exported information according to the different trust levels, so as to realize fine management, meet the user demand, save computing resources and ensure information security.

[0095] Further, the trust level of the target user is queried through the preset trust level table in the information management system, and the trust level table is a table constructed according to the trust level allocated according to the identity information of the target user when the information of the target user is stored in the information management system.

[0096] In the embodiment of the application, the information granularity of storing a plurality of types of information in the information management system is obtained, the granularity of information is divided, the business background of a plurality of to-be-exported information in the information management system is queried, the identification of a plurality of to-be-exported information is generated according to the business background, the identification of a plurality of to-be-exported information is associated with the information granularity according to the type of the to-be-exported information, the export granularity of a plurality of to-be-exported information is obtained, and then the to-be-exported information of the corresponding information granularity is exported for different target users according to the different trust levels of different target users, so that the granularity of information obtained by users with different trust levels is different, the confidential information is avoided to be exported to users with unmatched trust levels, and the confidentiality during information export is improved.

[0097] As Figure 2 shown is a module schematic diagram of the information export device based on information granularity.

[0098] The information granularity-based information derivation apparatus 100 can be installed in an electronic device. According to the implemented functions, the information granularity-based information derivation apparatus can include an information granularity acquisition module 101, an identification generation module 102, a derivation granularity confirmation module 103, and a target information derivation module 104. The modules of the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, which are stored in the memory of the electronic device.

[0099] In the present embodiment, the functions of each module / unit are as follows:

[0100] The information granularity acquisition module 101 is configured to acquire a plurality of types of information stored in an information management system and identify the information granularity of each type of information.

[0101] The identification generation module 102 is configured to query the business background of a plurality of to-be-derived information in the information management system and generate a plurality of identifications of the to-be-derived information according to the business background.

[0102] The derivation granularity confirmation module 103 is configured to associate the identifications of a plurality of to-be-derived information with the information granularity according to the type of the to-be-derived information, to obtain the derivation granularity of the to-be-derived information.

[0103] The target information derivation module 104 is configured to query the trust level of a target user, determine the target derivation granularity of the target user according to the trust level of the target user, and derive the to-be-derived information corresponding to the target derivation granularity from a plurality of to-be-derived information.

[0104] In detail, each module in the information granularity-based information derivation apparatus 100 in the present embodiment uses the same technical means as the information granularity-based information derivation method described above Figure 1 and can produce the same technical effects, which will not be described here.

[0105] As shown in Figure 3 , it is a structural schematic diagram of an electronic device for implementing the information granularity-based information derivation method of the present application.

[0106] The electronic device can include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and can also include a computer program stored in the memory 11 and executable on the processor 10, such as an information granularity-based information derivation program.

[0107] The processor 10 may, in some embodiments, be composed of integrated circuits, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits of the same or different functions, including one or more combinations of central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connects various components of the electronic device through various interfaces and lines, executes programs or modules stored in the memory 11 (for example, an information derivation program based on information granularity), and calls data stored in the memory 11 to perform various functions and process data of the electronic device.

[0108] The memory 11 includes at least one type of readable storage medium, including flash memories, mobile hard disks, multimedia cards, card-type memories (for example, SD or DX memories, etc.), magnetic memories, magnetic disks, optical disks, etc. The memory 11 may, in some embodiments, be an internal storage unit of the electronic device, for example, a mobile hard disk of the electronic device. The memory 11 may, in other embodiments, also be an external storage device of the electronic device, for example, a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory 11 may include both an internal storage unit and an external storage device of the electronic device. The memory 11 can be used not only to store application software and various data installed in the electronic device, for example, codes of an information derivation program based on information granularity, but also to temporarily store data that has been or will be output.

[0109] The communication bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0110] The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface can include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is usually used to establish a communication connection between the electronic device and other electronic devices. The user interface can be a display, an input unit (such as a keyboard), and optionally, the user interface can also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch screen, etc. The display can also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visualized user interface.

[0111] Figure 3 Only the electronic device with components is shown, and those skilled in the art can understand that, Figure 3 The structure shown does not constitute a limitation on the electronic device, and can include fewer or more components than shown, or combine certain components, or different component arrangements.

[0112] For example, although not shown, the electronic device can also include a power supply (such as a battery) for powering each component. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, so that functions such as charge management, discharge management, and power consumption management can be realized through the power management device. The power supply can also include one or more direct current or alternating current power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device can also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which are not described here.

[0113] It should be understood that the embodiments are only for illustration and are not limited in the scope of the patent application by this structure.

[0114] The information granularity-based information derivation program stored in the memory 11 of the electronic device is a combination of multiple computer programs, which, when running in the processor 10, can realize:

[0115] Obtain multiple types of information stored in the information management system, and identify the information granularity of each type of information;

[0116] Query the business background of multiple to-be-derived information in the information management system, and generate multiple identifiers of the to-be-derived information according to the business background;

[0117] According to the type of the to-be-derived information, the processor associates the identification of the to-be-derived information with the information granularity, and obtains a derivation granularity of the to-be-derived information.

[0118] The processor queries a trust level of a target user, determines a target derivation granularity of the target user according to the trust level of the target user, and derives the to-be-derived information corresponding to the derivation granularity matched with the target derivation granularity from the to-be-derived information.

[0119] Specifically, the processor 10 can refer to the specific implementation method of the above computer program Figure 1 The description of related steps in corresponding embodiments is not repeated here.

[0120] Further, the modules / units of the electronic device, if realized in the form of software function units and sold or used as independent products, can be stored in a non-volatile computer readable storage medium. The computer readable storage medium can be volatile or non-volatile. For example, the computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory).

[0121] The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the following when executed by a processor of an electronic device:

[0122] The processor obtains a plurality of types of information stored in an information management system, and identifies an information granularity of each type of information.

[0123] The processor queries a business background of a plurality of to-be-derived information in the information management system, and generates an identification of the to-be-derived information according to the business background.

[0124] According to the type of the to-be-derived information, the processor associates the identification of the to-be-derived information with the information granularity, and obtains a derivation granularity of the to-be-derived information.

[0125] The processor queries a trust level of a target user, determines a target derivation granularity of the target user according to the trust level of the target user, and derives the to-be-derived information corresponding to the derivation granularity matched with the target derivation granularity from the to-be-derived information.

[0126] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other manners. For example, the described apparatus embodiments are merely illustrative. For example, the division of the modules is merely logical function division. In actual implementation, other division manners can be used.

[0127] The modules illustrated as separated components can or can not be physically separated, and the components illustrated as modules can or can not be physical units. They can be located in one place, or distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purposes of the embodiments.

[0128] In addition, each function module in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software function modules.

[0129] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0130] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any additional reference signs in the claims should not be considered as limiting the claims involved.

[0131] The blockchain referred to in the present application is a new application mode of distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm and other computer technologies. Blockchain, in essence, is a decentralized database, a series of data blocks associated using cryptography. Each data block contains information about a batch of network transactions, used to verify the validity (anti-fake) of the information and generate the next block. The blockchain can include a blockchain underlying platform, a platform product service layer, and an application service layer.

[0132] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Artificial intelligence (AI) is the use of digital computers or computer-controlled machines to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0133] Furthermore, the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural and vice-versa, unless the context clearly requires these exclusions. The mere fact that different features are recited in mutually different dependent claims does not indicate that the

[0134] Finally, it should be noted that the above-mentioned embodiments illustrate rather than limit the application, since the skilled person, having regard to the above-mentioned teaching, will be able to carry out equivalent modifications or alternative techniques without departing from the scope of the application.

Claims

1. An information derivation method based on information granularity, characterized in that, The method includes: The system retrieves multiple types of information stored in the information management system, queries the number of dimensions for each type of information, and queries the information granularity of each type of information in a pre-built information granularity table based on the number of dimensions for each type of information. The information granularity is the scope of the type of information to which it belongs, which is determined based on the user's trust level. The business background of multiple pieces of information to be exported is queried in the information management system, and an identifier of multiple pieces of information to be exported is generated based on the business background. The identifier is an identifier that determines the uniqueness of the information to be exported. Obtain the configuration page of the information management system, and create an information organization table on the configuration page. Create an identifier column in the information organization table according to the type of the information to be exported. Add the identifier of the information to be exported to the identifier column to obtain an identifier information table. Obtain the corresponding information granularity according to the identifier in the identifier column of the identifier information table, and add the information granularity to the identifier information table. Associate the identifier of the information to be exported with the information granularity to obtain multiple export granularities of the information to be exported. Query the trust level of the target user, determine the target export granularity of the target user based on the trust level, and select the export information corresponding to the export granularity that matches the target export granularity from multiple export information to be exported and export it.

2. The information derivation method based on information granularity as described in claim 1, characterized in that, The business context for querying multiple pieces of information to be exported from the information management system includes: Obtain multiple pieces of information to be exported from the information management system; The multiple pieces of information to be exported are parsed to obtain image information or text information corresponding to the multiple pieces of information to be exported. The business background of multiple pieces of information to be exported in the information management system is determined based on the image information or text information.

3. The information derivation method based on information granularity as described in claim 1, characterized in that, The step of generating multiple identifiers for the information to be exported based on the business background includes: Traverse the preset business identifier library and determine whether the business identifier corresponding to the business background exists in the business identifier library; When the business identifier corresponding to the business background exists in the business identifier library, the business identifier corresponding to the business background is obtained as the identifier of the information to be exported. When the business identifier corresponding to the business background does not exist in the business identifier library, an identifier is generated for the business background in the business identifier library, and the generated identifier is used as the identifier of the information to be exported.

4. The information derivation method based on information granularity as described in any one of claims 1 to 3, characterized in that, Before querying the business background of multiple pieces of information to be exported from the information management system, the method further includes: Multiple pieces of information to be exported from the information management system are organized to obtain multiple organized pieces of information to be exported.

5. The information derivation method based on information granularity as described in claim 4, characterized in that, The step involves organizing multiple pieces of information to be exported from the information management system to obtain multiple organized pieces of information to be exported, including: The multiple pieces of information to be exported are converted into text to obtain multiple pieces of text information to be exported. Based on the text similarity algorithm, multiple pieces of text information to be exported are deduplicated to obtain multiple deduplicated text information; Remove non-keywords from multiple deduplicated text messages, and tabulate the multiple deduplicated text messages after removing non-keywords to obtain multiple sorted messages to be exported.

6. An information deriving device based on information granularity, characterized in that, The device includes: The information granularity acquisition module is used to acquire multiple types of information stored in the information management system, query the number of dimensions of each type of information, and query the information granularity of each type of information in a pre-built information granularity table based on the number of dimensions of each type of information. The information granularity is the scope of the type of information to which it belongs, which is divided according to the user's trust level. The identifier generation module is used to query the business background of multiple pieces of information to be exported in the information management system, and generate identifiers for multiple pieces of information to be exported based on the business background. The identifier is an identifier that determines the uniqueness of the information to be exported. The export granularity confirmation module is used to obtain the configuration page of the information management system, establish an information organization table on the configuration page, create an identifier column in the information organization table according to the type of the information to be exported, add the identifier of the information to be exported to the identifier column to obtain an identifier information table, obtain the corresponding information granularity according to the identifier in the identifier column of the identifier information table, add the information granularity to the identifier information table, and associate the identifier of the information to be exported with the information granularity to obtain multiple export granularities of the information to be exported. The target information export module is used to query the trust level of the target user, determine the target export granularity of the target user based on the trust level, and select the export information corresponding to the export granularity that matches the target export granularity from multiple export information and export it.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the information granularity-based information derivation method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, comprising a data storage area and a program storage area, wherein the data storage area stores created data and the program storage area stores a computer program; wherein, When the computer program is executed by the processor, it implements the information granularity-based information derivation method as described in any one of claims 1 to 5.

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