A method and device for managing expert information
By determining the query conditions for expert information based on the user identification and target expert information of the management user, the problem of lack of targeted expert information management in the existing technology is solved, and more efficient and safer expert information management is achieved.
Patent Information
- Application Number
- CN202111254574.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-10-27
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2041-10-27
AI Technical Summary
When managing expert information in companies and enterprises, the existing technology lacks specialized management methods for different degrees of importance and density, resulting in low confidentiality of expert information.
By querying contents based on the user's user identification and the corresponding information of the target expert, the management user's expert information query conditions are determined. When the information query content meets the query conditions, the target expert information is queried and sent to improve the target information query. Accuracy and efficiency.
It improves the pertinence, accuracy and efficiency of expert information query operations, enhances the accuracy and efficiency of expert information management, and improves the confidentiality of expert information.
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Figure CN114065021B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of information management, and in particular to a method and device for managing expert information. Background Art
[0002] With the continuous development of modern information technology, people have entered the era of big data. Companies and enterprises have effectively improved information management efficiency through information data synchronization and big data applications. Since there are different development fields and different business directions in companies and enterprises, different development fields and different business directions correspond to a large number of experts and corresponding expert information. It is particularly important to effectively manage the expert information in companies and enterprises.
[0003] At present, most of the management methods for expert information are that each manager can directly manage all expert information in the company. There is no specific management method for expert information of different importance. If the importance of expert information is different, the corresponding expert information confidentiality will also be different. Therefore, different expert information management methods should be set for different expert information. Therefore, managing all expert information in the company with a stereotyped management method will lead to the problem of low confidentiality of expert information. It can be seen that it is particularly important to provide an expert information management method that improves the confidentiality of expert information. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a method and device for managing expert information, by determining the expert information query conditions corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert. When the information query content meets the expert information query conditions, the information of the target expert to be queried by the management user is queried, which can improve the pertinence, accuracy and efficiency of the expert information query operation, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information.
[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for managing expert information, the method comprising:
[0006] Detecting an information query instruction triggered by a management user for a target expert, wherein the information query instruction includes a user identifier of the management user and information query content corresponding to the target expert, and the information query instruction is used to request to query information corresponding to the target expert;
[0007] According to the user ID of the management user and the information query content corresponding to the target expert, judging whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user;
[0008] When it is determined that the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user, the information of the target expert is queried in the expert information database corresponding to the management user based on the user ID of the management user and the information query content corresponding to the target expert, and the information of the target expert is sent to the management user.
[0009] As an optional implementation, in the first aspect of the present invention, before judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert, the method further includes:
[0010] When the character type includes a Chinese character type, it is determined whether there is a character identical to the first character in the information query content among all the characters in the surname information database; the surname information database is used to store characters corresponding to surnames in the Hundred Family Surnames;
[0011] When it is determined that there is a character in all the characters of the surname information database that is the same as the first character in the information query content, the operation of judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user based on the user ID of the management user and the information query content corresponding to the target expert is performed.
[0012] As an optional implementation manner, in the first aspect of the present invention, judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0013] Determine the management project corresponding to the management user and the project information corresponding to the management project according to the user identifier of the management user, and analyze the project information to determine the management project expert set corresponding to the management project and the expert information corresponding to each expert in the management project expert set; the management project is a project pre-bound by the management user, the project information of the management project includes the expert information and expert information identifiers corresponding to all experts responsible for the management project, and the management project expert set includes one or more project responsible experts;
[0014] Determine the target expert information identifier corresponding to the information query content according to the information query content, and judge whether the project information corresponding to the management project contains the target expert and the target expert information identifier;
[0015] When the judgment result is yes, it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0016] As an optional implementation manner, in the first aspect of the present invention, judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0017] Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type;
[0018] Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain character information corresponding to the information query content, wherein the character information includes character type and character quantity; the character type includes Chinese character type and non-Chinese character type;
[0019] It is determined whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user. If so, it is determined that the information query content meets the expert information query condition.
[0020] As an optional implementation, in the first aspect of the present invention, the determining whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes:
[0021] Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine a corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first user type is less than the character number threshold corresponding to the second user type;
[0022] Determine whether the number of characters is greater than or equal to the corresponding character number threshold;
[0023] When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
[0024] As an optional embodiment, in the first aspect of the present invention, the method further comprises:
[0025] When it is determined that the information query content corresponding to the target expert does not meet the expert information query condition corresponding to the management user, analyzing the correlation between the management user and the target expert information database to determine whether the correlation is greater than or equal to a predetermined correlation threshold; the target expert information database is an expert information database other than the expert information database corresponding to the management user; the correlation depends on determination factors, which include management user factors, project factors and expert factors;
[0026] When the judgment result is yes, based on the user ID of the management user and the information query content corresponding to the target expert, in the target expert information database, it is judged whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0027] As an optional embodiment, in the first aspect of the present invention, the method further comprises:
[0028] When the target expert's information includes the expert's performance file information, an information authority verification instruction is output; the type of verification password corresponding to the information authority verification instruction includes a biometric password type and a non-biometric password type;
[0029] receiving a password for the information authority verification instruction sent by the management user, and determining whether the password is consistent with a preset password threshold corresponding to the information authority verification instruction; the password is consistent with the password threshold when the corresponding content and content format are consistent;
[0030] When the judgment result is yes, the operation of querying the information of the target expert in the expert information database corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert is executed.
[0031] A second aspect of the present invention discloses a management device for expert information, the device comprising:
[0032] A detection module, used to detect an information query instruction triggered by a management user for a target expert, wherein the information query instruction includes a user ID of the management user and information query content corresponding to the target expert, and the information query instruction is used to request to query information corresponding to the target expert;
[0033] A judgment module, used to judge whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert;
[0034] A query module is used to query the information of the target expert in the expert information database corresponding to the management user based on the user ID of the management user and the information query content corresponding to the target expert when the judgment module determines that the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user, and send the information of the target expert to the management user.
[0035] As an optional implementation, in the second aspect of the present invention, the judgment module is also used to judge whether there is a character that is the same as the first character in the information query content among all the characters in the surname information database before judging whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert. When the judgment result is yes, trigger the execution of the operation of judging whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert; the surname information database is used to store the characters corresponding to the surnames in the Hundred Family Surnames.
[0036] As an optional implementation, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0037] Determine the management project corresponding to the management user and the project information corresponding to the management project according to the user identifier of the management user, and analyze the project information to determine the management project expert set corresponding to the management project and the expert information corresponding to each expert in the management project expert set; the management project is a project pre-bound by the management user, the project information of the management project includes the expert information and expert information identifiers corresponding to all experts responsible for the management project, and the management project expert set includes one or more project responsible experts;
[0038] Determine the target expert information identifier corresponding to the information query content according to the information query content, and judge whether the project information corresponding to the management project contains the target expert and the target expert information identifier;
[0039] When the judgment result is yes, it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0040] As an optional implementation, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0041] Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type;
[0042] Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain character information corresponding to the information query content, wherein the character information includes character type and character quantity; the character type includes Chinese character type and non-Chinese character type;
[0043] It is determined whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user. If so, it is determined that the information query content meets the expert information query condition.
[0044] As an optional implementation, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes:
[0045] Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine a corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first user type is less than the character number threshold corresponding to the second user type;
[0046] Determine whether the number of characters is greater than or equal to the corresponding character number threshold;
[0047] When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
[0048] As an optional implementation, in the second aspect of the present invention, the device further includes:
[0049] An analysis module, used for analyzing and determining the degree of association between the management user and a target expert information database when the judgment module determines that the information query content corresponding to the target expert does not satisfy the expert information query condition corresponding to the management user; the target expert information database is an expert information database other than the expert information database corresponding to the management user; the degree of association depends on a determination factor, which includes a management user factor, a project factor, and an expert factor;
[0050] The judgment module is also used to judge whether the correlation degree is greater than or equal to a predetermined correlation degree threshold. When the judgment result is yes, based on the user identifier of the management user and the information query content corresponding to the target expert, in the target expert information database, it is judged whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0051] As an optional implementation, in the second aspect of the present invention, the device further includes:
[0052] An output instruction module is used to output an information authority verification instruction when the information of the target expert includes the expert's performance file information; the type of verification password corresponding to the information authority verification instruction includes a biometric password type and a non-biometric password type;
[0053] A receiving module, used for receiving the password for the information authority verification instruction sent by the management user;
[0054] The judgment module is also used to judge whether the password is consistent with a preset password threshold corresponding to the information authority verification instruction. When the judgment result is yes, the query module is triggered to execute the operation of querying the information of the target expert in the expert information database corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert; the password is consistent with the password threshold in that the corresponding content and content format are consistent.
[0055] A third aspect of the present invention discloses another device for managing expert information, the device comprising:
[0056] A memory storing executable program code;
[0057] a processor coupled to the memory;
[0058] The processor calls the executable program code stored in the memory to execute an expert information management method disclosed in the first aspect of the present invention.
[0059] The fourth aspect of the present invention discloses a computer storable medium, wherein the computer storable medium stores computer instructions, and when the computer instructions are called, they are used to execute the expert information management method disclosed in the first aspect of the present invention.
[0060] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:
[0061] In an embodiment of the present invention, an information query instruction triggered by a management user for a target expert is detected, the information query instruction includes a user identifier of the management user and information query content corresponding to the target expert, and the information query instruction is used to request a query for information corresponding to the target expert; based on the user identifier of the management user and the information query content corresponding to the target expert, it is determined whether the information query content corresponding to the target expert satisfies an expert information query condition corresponding to the management user; when it is determined that the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user, based on the user identifier of the management user and the information query content corresponding to the target expert, the information of the target expert is queried in an expert information database corresponding to the management user, and the information of the target expert is sent to the management user.
[0062] It can be seen that the implementation of the present invention determines the expert information query conditions corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert. When the information query content meets the expert information query conditions, the information of the target expert to be queried by the management user is queried, which can improve the pertinence, accuracy and efficiency of the expert information query operation, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information. BRIEF DESCRIPTION OF THE DRAWINGS
[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0064] Figure 1 It is a flowchart of a method for managing expert information disclosed in an embodiment of the present invention;
[0065] Figure 2 It is a flowchart of another method for managing expert information disclosed in an embodiment of the present invention;
[0066] Figure 3 It is a structural diagram of an expert information management device disclosed in an embodiment of the present invention;
[0067] Figure 4It is a structural diagram of another expert information management device disclosed in an embodiment of the present invention;
[0068] Figure 5 It is a structural diagram of another expert information management device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION
[0069] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0070] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.
[0071] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0072] The present invention discloses a method and device for managing expert information, which determines the expert information query condition corresponding to the management user according to the user ID of the management user and the information query content corresponding to the target expert, and when the information query content meets the expert information query condition, queries the information of the target expert to be queried by the management user, thereby improving the pertinence, accuracy and efficiency of the expert information query operation, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information. The following are detailed descriptions respectively.
[0073] Embodiment 1
[0074] See also Figure 1 , Figure 1 : is a flowchart of a method for managing expert information disclosed in an embodiment of the present invention. Figure 1The described method can be applied to an information management system or to an intelligent management terminal, and the embodiments of the present invention do not limit this. Figure 1 As shown, the expert information management method may include the following operations:
[0075] 101. Detection management: Information query instructions triggered by users against target experts.
[0076] In an embodiment of the present invention, optionally, a way to trigger an information query instruction may include but is not limited to using a mobile client or a fixed device to trigger an information query instruction by scanning a QR code through a mini-program and / or APP and / or a designated web page and / or clicking a network link and / or clicking a trigger button, etc., and the embodiment of the present invention is not limited thereto.
[0077] 102. According to the user ID of the management user and the information query content corresponding to the target expert, it is determined whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user.
[0078] In the embodiment of the present invention, the information query content optionally includes the identification of the target expert, and the identification of the target expert may include but is not limited to one or more of the target expert's name, ID number, mobile phone number, etc. Further, the information query content may also include but is not limited to one or more of the target expert's expert status, unit name, expert category, expert level, information storage time, etc., which are not limited in the embodiment of the present invention.
[0079] 103. When it is determined that the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user, the information of the target expert is queried in the expert information database corresponding to the management user based on the user ID of the management user and the information query content corresponding to the target expert, and the information of the target expert is sent to the management user.
[0080] In an embodiment of the present invention, optionally, after querying the information of the target expert, the time and specific content of the management user's query on the target expert and the target expert's information are recorded. When it is detected that the management user triggers the information query instruction again to query the information query content corresponding to the target expert, the information query content corresponding to the target expert is directly retrieved and sent to the management user.
[0081] It can be seen that the expert information management method described in the embodiment of the present invention determines the expert information query conditions corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert. When the information query content meets the expert information query conditions, the information of the target expert to be queried by the management user is queried, which can improve the pertinence, accuracy and efficiency of the expert information query operation, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information.
[0082] In an optional embodiment, before determining in step 102 whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert, the method may further include the following steps:
[0083] When the character type includes Chinese character type, it is determined whether there is a character identical to the first character in the information query content among all characters in the surname information database; the surname information database is used to store characters corresponding to surnames in the Hundred Family Surnames;
[0084] When it is determined that there is a character in all the characters of the surname information database that is the same as the first character in the information query content, an operation is performed to determine whether the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user based on the user ID of the management user and the information query content corresponding to the target expert.
[0085] In this optional embodiment, optionally, when it is determined that there is no character identical to the first character in the information query content among all the characters in the surname information database, it is determined that the information query content does not satisfy the expert information query conditions corresponding to the management user, and the information of the target expert cannot be queried in the expert information database corresponding to the management user.
[0086] It can be seen that this optional embodiment can perform corresponding query processing operations on the information query content when there is a character in the surname information database that is the same as the first character of the information query content, thereby improving the accuracy and reliability of the expert information query operation and further improving the efficiency of expert information management.
[0087] In another optional embodiment, in step 102, judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0088] Determine the management project corresponding to the management user and the project information corresponding to the management project according to the user ID of the management user, analyze the project information to determine the management project expert set corresponding to the management project and the expert information corresponding to each expert in the management project expert set; the management project is a project pre-bound by the management user, the project information of the management project includes the expert information and expert information identifiers corresponding to all experts responsible for the management project, and the management project expert set includes one or more project responsible experts;
[0089] Determine the target expert information identifier corresponding to the information query content according to the information query content, and judge whether the project information corresponding to the management project contains the target expert and the target expert information identifier;
[0090] When the judgment result is yes, it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0091] In this optional embodiment, optionally, when it is determined that the project information corresponding to the management project does not contain the target expert and the target expert information identifier, it is determined that the information query content corresponding to the target expert does not meet the expert information query conditions corresponding to the management user, and the information of the target expert cannot be queried in the expert information database corresponding to the management user.
[0092] It can be seen that this optional embodiment can determine that the information query content satisfies the expert information query conditions when the target expert is associated with the management project corresponding to the management user, thereby increasing the corresponding methods for satisfying the information query conditions and the diversified query methods for expert information, improving the efficiency and accuracy of expert information query, and thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information, as well as improving the intelligence of the device.
[0093] In another optional embodiment, in step 102, judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0094] Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type;
[0095] Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain the character information corresponding to the information query content, the character information includes the character type and the number of characters; the character type includes the Chinese character type and the non-Chinese character type;
[0096] It is determined whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user. If so, it is determined that the information query content meets the expert information query condition.
[0097] In this optional embodiment, optionally, when it is determined that the character type and the number of characters included in the character information do not satisfy the expert information query conditions corresponding to the management user, it is determined that the information query content corresponding to the target expert does not satisfy the expert information query conditions, and the information of the target expert cannot be queried in the expert information database corresponding to the management user.
[0098] Optionally, different management user types correspond to different expert information bases, and the differences between different expert information bases may include but are not limited to different expert identifiers stored, different expert information corresponding to the same expert stored, or different amounts of expert information stored, etc., which are not limited in the embodiment of the present invention. Optionally, non-Chinese character types may include but are not limited to Arabic numeral types, English letter types, Greek letter types, etc., which are not limited in the embodiment of the present invention.
[0099] It can be seen that this optional embodiment can provide a method for performing expert information query processing operations on character information corresponding to the information query content, increase the diversity of methods for satisfying information query conditions and expert information query methods, improve the diversity and reliability of expert information query operations, and thereby improve the accuracy and efficiency of expert information management and the confidentiality of expert information.
[0100] In yet another optional embodiment, determining whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes:
[0101] Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine the corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first user type is less than the character number threshold corresponding to the second user type;
[0102] Determine whether the number of characters is greater than or equal to the corresponding character number threshold;
[0103] When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
[0104] In this optional embodiment, optionally, when it is determined that the number of characters is less than the corresponding character number threshold, it is determined that the information query content corresponding to the target expert does not meet the expert information query conditions corresponding to the management user, and the information of the target expert cannot be queried in the expert information database corresponding to the management user.
[0105] Optionally, the character types included in the information query content may be all Chinese character types, or all non-Chinese character types, or a combination of Chinese character types and non-Chinese character types, which is not limited in the embodiment of the present invention.
[0106] It can be seen that this optional embodiment provides a method of analyzing the character type and number of characters corresponding to the character information of the information query content, determining whether the character information satisfies the information query conditions, thereby improving the query diversity, accuracy and reliability of expert information, thereby improving the accuracy and efficiency of expert information management, and improving the intelligence of the device.
[0107] In yet another optional embodiment, the method may further include the following steps:
[0108] When it is determined that the information query content corresponding to the target expert does not meet the expert information query condition corresponding to the management user, the correlation between the management user and the target expert information database is analyzed to determine whether the correlation is greater than or equal to a predetermined correlation threshold; the target expert information database is an expert information database other than the expert information database corresponding to the management user; the correlation depends on the determining factors, which include the management user factor, the project factor and the expert factor;
[0109] When the judgment result is yes, based on the user ID of the management user and the information query content corresponding to the target expert, it is judged in the target expert information database whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0110] In this optional embodiment, optionally, when it is determined that the correlation is less than a predetermined correlation threshold, it is determined that the correlation between the management user and the target expert information database does not meet the conditions for obtaining the target expert information database authority, and the target expert information cannot be queried in the target expert information database.
[0111] Further optionally, the determination factor of the correlation degree, specifically, when the determination factor is the management user factor, the correlation degree depends on the management user's own level, the degree of intersection between the management user's responsible field and the expert field or corresponding information field corresponding to the target expert information database, etc., if the own level / degree of intersection is higher, the correlation degree between the management user and the target expert information database is higher; when the determination factor is the project factor, the correlation degree depends on the number of intersections and / or the number of intersections between the management project that the management user is responsible for and the target information database regarding expert identification and expert information, if the number of intersections and / or the number of intersections is higher, the correlation degree between the management user and the target expert information database is higher; when the determination factor is the expert factor, the correlation degree depends on the scope of the field involved by the target expert or the number of target expert's expert information stored in different expert information databases, etc., if the wider the scope of the field involved or the more the number of expert information stored in different expert information databases, the higher the correlation degree between the management user and the target expert information database.
[0112] It can be seen that this optional embodiment provides a function of querying expert information in different expert information databases for specific situations, increasing the diversified query methods of expert information, which is conducive to improving the query accuracy, efficiency and reliability of expert information, thereby improving the management efficiency of expert information and the confidentiality of expert information, as well as improving the intelligence of the device.
[0113] Embodiment 2
[0114] See also Figure 2 , Figure 2 FIG. 1 is a flow chart of another method for managing expert information disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to an information management system or to an intelligent management terminal, and the embodiments of the present invention do not limit this. Figure 2 As shown, the expert information management method may include the following operations:
[0115] 201. Detection management user triggers information query instructions for target experts.
[0116] 202. According to the user ID of the management user and the information query content corresponding to the target expert, it is determined whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user. When the determination result is yes, step 203 is triggered.
[0117] 203. According to the user ID of the management user and the information query content corresponding to the target expert, the information of the target expert is searched in the expert information database corresponding to the management user, and the information of the target expert is sent to the management user.
[0118] In the embodiment of the present invention, for other descriptions of step 201 to step 203, please refer to the detailed description of step 101 to step 103 in the first embodiment, and the embodiment of the present invention will not be repeated.
[0119] 204. When the target expert's information includes the expert's job performance file information, output the information authority verification instruction.
[0120] In an embodiment of the present invention, optionally, the information permission verification instruction includes prompting the management user to enter a password for the expert's performance file information; the method of outputting the information permission verification instruction may include but is not limited to sending text messages, pushing information, sending pop-up windows, etc., which is not limited in the embodiment of the present invention.
[0121] Optionally, when the target expert's information includes pre-determined expert information with high confidentiality, an information authority verification instruction is output, and a verification password sent according to the information authority verification instruction is received. The verification password threshold for the information authority verification instruction can be set to different thresholds for specific confidentiality levels corresponding to the expert information with high confidentiality, or a unified verification password threshold can be set for all expert information with high confidentiality, and the number of characters in the verification password threshold can be set to different character number values according to different confidentiality levels, which is not limited in the embodiment of the present invention. It should be noted that the confidentiality of the expert information is pre-determined.
[0122] 205. Receive the password for the information authority verification instruction sent by the management user.
[0123] In the embodiment of the present invention, optionally, the password may be composed of any number of characters and any character type, which is not limited in the embodiment of the present invention.
[0124] 206. Determine whether the password is consistent with a preset password threshold corresponding to the information authority verification instruction. If the determination result is yes, trigger the execution of step 203.
[0125] In an embodiment of the present invention, optionally, when it is determined that the password is inconsistent with a pre-set password threshold corresponding to the information authority verification instruction, it is determined that the information query content corresponding to the target expert does not meet the expert information query conditions corresponding to the management user, and the information of the target expert cannot be queried in the expert information database corresponding to the management user.
[0126] It can be seen that this optional embodiment can set special information query conditions for specified expert information, increase the query diversity of expert information, improve the pertinence and reliability of expert information query, and thus improve the confidentiality of expert information and the reliability and efficiency of expert information management, as well as improve the intelligence of the device.
[0127] Embodiment 3
[0128] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of an expert information management device disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to an information management system or to an intelligent management terminal, and the embodiments of the present invention do not limit this. Figure 3 As shown, the management device of the expert information may include:
[0129] The detection module 301 is used to detect the information query instruction triggered by the management user for the target expert. The information query instruction includes the user ID of the management user and the information query content corresponding to the target expert, and the information query instruction is used to request to query the information corresponding to the target expert.
[0130] The judgment module 302 is used to judge whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert.
[0131] The query module 303 is used to query the information of the target expert in the expert information database corresponding to the management user according to the user ID of the management user and the information query content corresponding to the target expert when the judgment module 302 determines that the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user, and send the information of the target expert to the management user.
[0132] It can be seen that implementation Figure 3 The described expert information management device determines the expert information query conditions corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert. When the information query content meets the expert information query conditions, the information of the target expert to be queried by the management user is queried, which can improve the pertinence, accuracy and efficiency of the expert information query operation, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information.
[0133] In another optional embodiment, the judgment module 302 is also used to judge whether the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert, when the character type includes the Chinese character type, whether there is a character that is the same as the first character in the information query content among all the characters in the surname information database, and when the judgment result is yes, trigger the execution of the operation of judging whether the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user based on the user identifier of the management user and the information query content corresponding to the target expert; the surname information database is used to store the characters corresponding to the surnames in the Hundred Family Surnames.
[0134] It can be seen that implementation Figure 4 The described device can perform corresponding query processing operations on the information query content when there is a character identical to the first character of the information query content in the surname information database, thereby improving the accuracy and reliability of the expert information query operation and further improving the efficiency of expert information management.
[0135] In another optional embodiment, the specific manner in which the judgment module 302 judges whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0136] Determine the management project corresponding to the management user and the project information corresponding to the management project according to the user ID of the management user, analyze the project information to determine the management project expert set corresponding to the management project and the expert information corresponding to each expert in the management project expert set; the management project is a project pre-bound by the management user, the project information of the management project includes the expert information and expert information identifiers corresponding to all experts responsible for the management project, and the management project expert set includes one or more project responsible experts;
[0137] Determine the target expert information identifier corresponding to the information query content according to the information query content, and judge whether the project information corresponding to the management project contains the target expert and the target expert information identifier;
[0138] When the judgment result is yes, it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
[0139] It can be seen that implementation Figure 4 The described device can also determine that the information query content satisfies the expert information query conditions when the target expert is associated with the management project corresponding to the management user, thereby increasing the corresponding ways of satisfying the information query conditions and the diversified query methods for expert information, improving the efficiency and accuracy of expert information query, thereby improving the accuracy and efficiency of expert information management and the confidentiality of expert information, and improving the intelligence of the device.
[0140] In another optional embodiment, the specific manner in which the judgment module 302 judges whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes:
[0141] Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type;
[0142] Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain the character information corresponding to the information query content, the character information includes the character type and the number of characters; the character type includes the Chinese character type and the non-Chinese character type;
[0143] It is determined whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user. If so, it is determined that the information query content meets the expert information query condition.
[0144] It can be seen that implementation Figure 4The described device can provide a method for performing expert information query processing operations on character information corresponding to the information query content, increase the diversity of methods for satisfying information query conditions and expert information query methods, improve the diversity and reliability of expert information query operations, and thereby improve the accuracy and efficiency of expert information management and the confidentiality of expert information.
[0145] In another optional embodiment, the specific manner in which the judgment module 302 judges whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes:
[0146] Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine the corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first user type is less than the character number threshold corresponding to the second user type;
[0147] Determine whether the number of characters is greater than or equal to the corresponding character number threshold;
[0148] When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
[0149] It can be seen that implementation Figure 4 The described device can also provide a method for determining whether the character information satisfies the information query conditions by analyzing the character type and number of characters corresponding to the character information of the information query content, thereby improving the query diversity, accuracy and reliability of expert information, thereby improving the accuracy and efficiency of expert information management, and improving the intelligence of the device.
[0150] In yet another optional embodiment, Figure 4 As shown, the device may also include:
[0151] The analysis module 304 is used to analyze the correlation between the management user and the target expert information database when the judgment module 302 determines that the information query content corresponding to the target expert does not meet the expert information query conditions corresponding to the management user; the target expert information database is an expert information database other than the expert information database corresponding to the management user; the correlation depends on the determination factors, which include the management user factor, the project factor and the expert factor.
[0152] The judgment module 302 is also used to judge whether the correlation degree is greater than or equal to a predetermined correlation degree threshold. When the judgment result is yes, based on the user identifier of the management user and the information query content corresponding to the target expert, in the target expert information database, it is judged whether the information query content corresponding to the target expert meets the expert information query conditions corresponding to the management user.
[0153] It can be seen that implementation Figure 4 The described device can also provide a function of querying expert information in different expert information databases according to specific situations, increase the diversified query methods of expert information, and help improve the query accuracy, efficiency and reliability of expert information, thereby improving the management efficiency and confidentiality of expert information, and improving the intelligence of the device.
[0154] In yet another optional embodiment, Figure 4 As shown, the device may also include:
[0155] The output instruction module 305 is used to output an information authority verification instruction when the information of the target expert includes the expert's performance file information; the types of verification passwords corresponding to the information authority verification instruction include biological password types and non-biological password types.
[0156] The receiving module 306 is used to receive the password for the information authority verification instruction sent by the management user.
[0157] The judgment module 302 is also used to judge whether the password is consistent with the pre-set password threshold corresponding to the information authority verification instruction. When the judgment result is yes, the query module 303 is triggered to execute the operation of querying the information of the target expert in the expert information database corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert; the password is consistent with the password threshold when the corresponding content and content format are consistent.
[0158] It can be seen that implementation Figure 4 The described device can also set special information query conditions for designated expert information, increase the query diversity of expert information, improve the pertinence and reliability of expert information query, and thus improve the confidentiality of expert information and the reliability and efficiency of expert information management, as well as the intelligence of the device.
[0159] Embodiment 4
[0160] See also Figure 5 , Figure 5 is a schematic diagram of the structure of another expert information management device disclosed in an embodiment of the present invention. Figure 5 The described device can be applied to an information management system or to an intelligent management terminal, and the embodiments of the present invention do not limit this. Figure 5As shown, the device may include:
[0161] A memory 401 storing executable program codes;
[0162] a processor 402 coupled to the memory 401;
[0163] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;
[0164] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the expert information management method described in the first or second embodiment.
[0165] Embodiment 5
[0166] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the expert information management method described in the first or second embodiment.
[0167] Embodiment 6
[0168] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the expert information management method described in the first or second embodiment.
[0169] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.
[0170] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.
[0171] Finally, it should be noted that the expert information management method and device disclosed in the embodiment of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments.
Claims
1. A method for managing expert information, characterized in that: The method comprises: An information query instruction triggered by a detection management user for a target expert, wherein the information query instruction includes a user ID of the management user and information query content corresponding to the target expert, and the information query instruction is used to request a query for information corresponding to the target expert; the information query content corresponding to the target expert includes one or more of the target expert's ID, expert status, unit name, expert category, expert level, and information entry time; the target expert's ID includes one or more of the target expert's name, ID number, and mobile phone number; According to the user ID of the management user and the information query content corresponding to the target expert, judging whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user; When it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user, the information of the target expert is searched in the expert information database corresponding to the management user according to the user ID of the management user and the information query content corresponding to the target expert, and the information of the target expert is sent to the management user; Furthermore, before judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert, the method further comprises: When the character type in the character information corresponding to the information query content includes a Chinese character type, determining whether there is a character identical to the first character in the information query content among all the characters in the surname information database; the surname information database is used to store characters corresponding to surnames in the Hundred Family Surnames; When it is determined that there is a character identical to the first character in the information query content among all the characters in the surname information database, the operation of determining whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user ID of the management user and the information query content corresponding to the target expert is performed; And, judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert, comprises: Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type; Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain character information corresponding to the information query content, wherein the character information includes character type and character quantity; the character type includes Chinese character type and non-Chinese character type; Determine whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user, and if so, determine that the information query content meets the expert information query condition; And, the determining whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes: Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine a corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first management user type is less than the character number threshold corresponding to the second management user type; Determine whether the number of characters is greater than or equal to the corresponding character number threshold; When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
2. The method for managing expert information according to claim 1, characterized in that: The step of judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes: Determine the management project corresponding to the management user and the project information corresponding to the management project according to the user identifier of the management user, and analyze the project information to determine the management project expert set corresponding to the management project and the expert information corresponding to each expert in the management project expert set; the management project is a project pre-bound by the management user, the project information of the management project includes the expert information and expert information identifiers corresponding to all experts responsible for the management project, and the management project expert set includes one or more project responsible experts; Determine the target expert information identifier corresponding to the information query content according to the information query content, and judge whether the project information corresponding to the management project contains the target expert and the target expert information identifier; When the judgment result is yes, it is determined that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
3. The method for managing expert information according to claim 1, characterized in that: The method further comprises: When it is determined that the information query content corresponding to the target expert does not meet the expert information query condition corresponding to the management user, analyzing the correlation between the management user and the target expert information database to determine whether the correlation is greater than or equal to a predetermined correlation threshold; the target expert information database is an expert information database other than the expert information database corresponding to the management user; the correlation depends on determination factors, which include management user factors, project factors and expert factors; When the judgment result is yes, based on the user ID of the management user and the information query content corresponding to the target expert, in the target expert information database, it is judged whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user.
4. The method for managing expert information according to claim 1, characterized in that: The method further comprises: When the target expert's information includes the expert's performance file information, an information authority verification instruction is output; the type of verification password corresponding to the information authority verification instruction includes a biometric password type and a non-biometric password type; receiving a password for the information authority verification instruction sent by the management user, and determining whether the password is consistent with a preset password threshold corresponding to the information authority verification instruction; the password is consistent with the password threshold when the corresponding content and content format are consistent; When the judgment result is yes, the operation of querying the information of the target expert in the expert information database corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert is executed.
5. A management device for expert information, characterized in that: The device comprises: A detection module is used to detect an information query instruction triggered by a management user for a target expert, wherein the information query instruction includes a user ID of the management user and information query content corresponding to the target expert, and the information query instruction is used to request to query the information corresponding to the target expert; the information query content corresponding to the target expert includes one or more of the target expert's ID, expert status, unit name, expert category, expert level and information entry time; the target expert's ID includes one or more of the target expert's name, ID number and mobile phone number; A judgment module, used to judge whether the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user according to the user identification of the management user and the information query content corresponding to the target expert; A query module, used for querying the information of the target expert in the expert information database corresponding to the management user according to the user ID of the management user and the information query content corresponding to the target expert, and sending the information of the target expert to the management user when the judgment module judges that the information query content corresponding to the target expert meets the expert information query condition corresponding to the management user; Furthermore, the judgment module is further used for judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user before judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user based on the user identification of the management user and the information query content corresponding to the target expert. When the character type in the character information corresponding to the information query content includes a Chinese character type, judging whether there is a character identical to the first character in the information query content among all the characters in the surname information database, and when the judgment result is yes, triggering the execution of the operation of judging whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user based on the user identification of the management user and the information query content corresponding to the target expert; the surname information database is used to store characters corresponding to surnames in the Hundred Family Surnames; And, the specific manner in which the judgment module judges whether the information query content corresponding to the target expert satisfies the expert information query condition corresponding to the management user according to the user identifier of the management user and the information query content corresponding to the target expert includes: Determine a user type corresponding to the management user according to the user identifier of the management user, where the user type corresponding to the management user includes a first management user type or a second management user type; Determine the expert information query condition corresponding to the management user according to the user type, analyze the information query content, and obtain character information corresponding to the information query content, wherein the character information includes character type and character quantity; the character type includes Chinese character type and non-Chinese character type; Determine whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user, and if so, determine that the information query content meets the expert information query condition; Furthermore, the specific manner in which the judgment module judges whether the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user includes: Determine the number of characters in all characters of the information query content that have a consistent sorting relationship between adjacent characters in the expert information database corresponding to the management user, and determine a corresponding character number threshold according to the user type and the character type; wherein, when the character types are different, the character number thresholds corresponding to the user types are different, and when the character types are the same, the character number threshold corresponding to the first management user type is less than the character number threshold corresponding to the second management user type; Determine whether the number of characters is greater than or equal to the corresponding character number threshold; When the judgment result is yes, it is determined that the character type and the number of characters included in the character information meet the expert information query condition corresponding to the management user.
6. A management device for expert information, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the expert information management method according to any one of claims 1 to 4.
7. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the expert information management method according to any one of claims 1 to 4.
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