CN115033574A - Information generation method, information generation device, electronic device, and storage medium - Google Patents
Information generation method, information generation device, electronic device, and storage medium Download PDFInfo
- Publication number
- CN115033574A CN115033574A CN202210765476.9A CN202210765476A CN115033574A CN 115033574 A CN115033574 A CN 115033574A CN 202210765476 A CN202210765476 A CN 202210765476A CN 115033574 A CN115033574 A CN 115033574A
- Authority
- CN
- China
- Prior art keywords
- information
- unit
- unit information
- difference
- group
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Abstract
The disclosure provides an information generation method which can be applied to the technical field of artificial intelligence. The information generation method comprises the following steps: screening first unit information corresponding to a first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information; the pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M. The disclosure also provides an information generating apparatus, a device, a storage medium and a program product.
Description
Technical Field
The present disclosure relates to the field of artificial intelligence technologies, and in particular, to an information generation method, an information generation apparatus, an electronic device, a storage medium, and a program product.
Background
With the continuous development of society, various industries generate various information continuously, and when a computer network system is used for managing the information, the information is directly stored through an information base.
In the process of implementing the present disclosure, it is found that after information is stored in the information base, although the information is convenient to directly call, there are problems that it is difficult to intelligently configure information in the information base and the efficiency of information configuration is low.
Disclosure of Invention
In view of the above, the present disclosure provides an information generating method, an information generating apparatus, an electronic device, a storage medium, and a program product.
According to a first aspect of the present disclosure, there is provided an information generating method including:
screening first unit information corresponding to the first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and
combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information;
the pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
According to an embodiment of the present disclosure, further comprising:
under the condition that second initial information is determined to be obtained, obtaining T second information groups according to the second initial information, wherein the second information groups comprise second unit information, second target tags corresponding to the second unit information and association relations between the second unit information and second other unit information, and T is an integer greater than or equal to 1; and
and under the condition that the difference information group exists in the T second information groups according to the N first information groups, updating the information base according to the difference information group.
According to an embodiment of the present disclosure, further comprising:
and for a second information group in the T second information groups, determining the second information group as a difference information group when determining that no first information group matched with the second information group exists in the N first information groups.
According to an embodiment of the present disclosure, in a case where it is determined from the N first information groups that there is a difference information group among the T second information groups, updating the information base according to the difference information group includes:
obtaining a difference grade according to the difference information group under the condition that the difference information group exists in the T second information groups according to the N first information groups;
calling an updating strategy corresponding to the difference grade; and
and updating the information base according to the difference information group based on the updating strategy.
According to an embodiment of the present disclosure, the difference level includes a first difference level and a second difference level;
wherein updating the information base according to the difference information group based on the update policy comprises:
in the case where the difference level is the first difference level,
updating the information base according to the difference information group;
in the case where the difference level is the second difference level,
sending an updating request to a third party so that the third party can determine an operation mode according to the updating request; and
in response to receiving the operation mode from the third party, the information base is updated according to the difference information group based on the operation mode.
According to an embodiment of the present disclosure, further comprising:
analyzing the first unit information to obtain an analysis result;
determining an initial label corresponding to the first unit information according to the analysis result;
determining a target label corresponding to the initial label according to the category of the initial label representation; and
and replacing the initial label corresponding to the first unit information with the target label corresponding to the initial label.
According to an embodiment of the present disclosure, further comprising:
determining an incidence relation between the first unit information and the first other unit information according to the initial label;
obtaining a first information group according to the first unit information, the target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information; and
the first information group is stored in an information base.
According to an embodiment of the present disclosure, the first initial information includes policy information.
A second aspect of the present disclosure provides an information generating apparatus comprising:
the screening module is used for screening first unit information corresponding to a first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and
the combination module is used for combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information;
the pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described information generation method.
The fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described information generating method.
A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described information generating method.
According to the embodiment of the disclosure, the first unit information is obtained by disassembling the minimum unit, so that the problem of information redundancy during information configuration or unreasonable information after information configuration is avoided. And according to the multi-dimensional information group, an information group formed by the first unit information, a first target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information is stored in an information base, so that the first unit information is conveniently screened from the information base, and the target information is generated by combination, the intelligent configuration of information is realized, the configuration is convenient and fast, and the information configuration efficiency is improved.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, taken in conjunction with the accompanying drawings of which:
fig. 1 schematically illustrates an application scenario diagram of an information generation method, an information generation apparatus, an electronic device, a storage medium, and a program product according to an embodiment of the present disclosure;
FIG. 2 schematically shows a flow diagram of an information generation method according to an embodiment of the present disclosure;
FIG. 3 schematically shows a flow diagram of an information generation method according to another embodiment of the present disclosure;
FIG. 4 schematically illustrates an information intelligent configuration interaction flow diagram according to an embodiment of the disclosure;
FIG. 5 schematically illustrates an architectural diagram of a business rules information system in accordance with an embodiment of the present disclosure;
FIG. 6 schematically illustrates a business rule information system internal technical architecture diagram according to an embodiment of the present disclosure;
fig. 7 schematically shows a block diagram of the structure of an information generating apparatus according to an embodiment of the present disclosure; and
fig. 8 schematically shows a block diagram of an electronic device adapted to implement the information generating method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, necessary security measures are taken, and the customs of the public order is not violated.
In the technical scheme of the embodiment of the disclosure, before the personal information of the user is obtained or collected, the authorization or the consent of the user is obtained.
In the related art, an information base stores information generated through various business operations. Information is not processed, and can be directly called from the information base when the information needs to be called, but if the information in the information base needs to be configured, the problem of information redundancy or unreasonable information after configuration exists in the direct calling configuration, the manual adjustment processing configuration is needed, a large amount of manpower and material resources are consumed, and the configuration efficiency is low.
For example, the business rule information system stores the business rule information once through the information base. When the business rule information system manages the business rule information, the problem that the intelligent configuration of the business rule information is difficult exists, so that the intelligent management standard of the business rule information system cannot be improved.
An embodiment of the present disclosure provides an information generating method, including: screening first unit information corresponding to the first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information; the pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
Fig. 1 schematically shows an application scenario diagram of an information generation method, an information generation apparatus, an electronic device, a storage medium, and a program product according to an embodiment of the present disclosure.
As shown in fig. 1, the application scenario 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104, and a server 105. Network 104 is the medium used to provide communication links between terminal devices 101, 102, 103 and server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The backend management server may analyze and process the received data such as the user request, and feed back a processing result (for example, a web page, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the information generation method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the information generating apparatus provided by the embodiment of the present disclosure may be generally disposed in the server 105. The information generation method provided by the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the information generating apparatus provided in the embodiments of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
The information generation method provided by the embodiments of the present disclosure may also be executed by the terminal devices 101, 102, 103. Accordingly, the information generating apparatus provided in the embodiments of the present disclosure may also be generally disposed in the terminal devices 101, 102, 103. The information generation method provided by the embodiment of the present disclosure may also be executed by other terminals different from the terminal devices 101, 102, 103. Accordingly, the information generating apparatus provided in the embodiments of the present disclosure may also be provided in other terminals different from the terminal devices 101, 102, and 103.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
The information generation method of the disclosed embodiment will be described in detail below with fig. 2 to 6 based on the scenario described in fig. 1.
Fig. 2 schematically shows a flow chart of an information generation method according to an embodiment of the present disclosure.
As shown in fig. 2, the information generating method 200 of this embodiment includes operations S201 to S202.
In operation S201, according to a first target tag, first unit information corresponding to the first target tag is filtered from a pre-constructed information base to obtain M pieces of first unit information, where M is an integer greater than or equal to 2.
The pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
According to an embodiment of the present disclosure, the first initial information may be source information generated by various domains. The first initial information may include policy information. The policy information may include business rule information.
For example, business rule source information associated with a region can be acquired from different regions; and preprocessing the source information of the business rule to obtain first initial information. Wherein the pre-processing may comprise: and merging the source information of the business rules and the information of the business index rules of the corresponding regions, and performing information duplication removal, garbage information cleaning, multi-layer information merging and other processing on the merged information by using an ETL (Extract-Transform-Load, data warehouse technology).
According to the embodiment of the present disclosure, the first unit information is obtained by performing minimum disassembly on the first initial information. A first target tag corresponding to the first unit information may be obtained according to the first unit information. The first target tag may represent tag information of a type to which the first unit information represents. The association relationship between the first unit information and the first other unit information may indicate that the first unit information is related to the first other unit information, and the association relationship exists. The association relationship between the first unit information and the first other unit information may also represent that the first unit information is unrelated to the first other unit information, and there is no association relationship.
For example, the first unit information includes: unit information a, unit information B, unit information C, and unit information D. If the unit information A is only related to the unit information B, a true association exists: if the tag information of the type to which the unit information a belongs is the first target tag 1 and the tag information of the type to which the unit information B belongs is the first target tag 2, the first information group may include the association relationship between the unit information a, the first target tag 1, and the unit information a and the unit information B or the first information group may include the association relationship between the unit information B, the first target tag 2, and the unit information B and the unit information a. If the unit information A is irrelevant to the unit information D, no association exists: if the tag information of the type to which the unit information a represents is the first target tag 1, the first information group may include the unit information a, the first target tag 1, and the association relationship between the unit information a and the unit information D.
In operation S202, the M pieces of first unit information are combined according to the association relationship between the M pieces of first unit information, and target information is generated.
According to the embodiment of the disclosure, the M pieces of first unit information may be arranged and combined according to the association relationship between the M pieces of first unit information to generate the target information. Wherein the target information may characterize the complete information.
For example, the first unit information may be obtained by performing minimum parsing on the information rule. The first unit information, the first target tag corresponding to the first unit information, and the association relationship between the first unit information and the first other unit information may be grouped into a first information group. The first information group is stored in an information base. When the business rule information system manages the business rule information, the first unit information corresponding to the first target tag may be screened from the information base according to the first target tag, so as to obtain M pieces of first unit information. And combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information. The target information is configuration information obtained after the service rule information is intelligently configured by a service rule information system. The business rule information system can also carry out quick calling configuration through a plurality of target information generated in advance. The business rule information system can also delete a plurality of pieces of target information generated in advance.
According to the embodiment of the disclosure, the first unit information is obtained by disassembling the minimum unit, so that the problem of information redundancy during information configuration or unreasonable information after information configuration is avoided. And according to the multi-dimensional information group, an information group formed by the first unit information, a first target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information is stored in an information base, so that the first unit information is conveniently screened from the information base, and the target information is generated by combination, the intelligent configuration of information is realized, the configuration is convenient and fast, and the information configuration efficiency is improved.
Fig. 3 schematically shows a flow chart of an information generation method according to another embodiment of the present disclosure.
As shown in fig. 3, the information generating method 300 of this embodiment may include, in addition to operations S201 to S202: operation S301 to operation S302.
In operation S301, in a case that it is determined that the second initial information is obtained, T second information groups are obtained according to the second initial information, where the second information groups include second unit information, a second target tag corresponding to the second unit information, and an association relationship between the second unit information and second other unit information, where T is an integer greater than or equal to 1.
According to the embodiment of the disclosure, the second initial information can be determined to be acquired under the condition that the acquired current initial information is inconsistent with the first initial information through automatic information acquisition. The second unit information may be obtained by performing minimum disassembly on the second initial information. A second target tag corresponding to the second unit information may be obtained according to the second unit information. Wherein the second target tag may characterize the tag information of the type indicated by the second unit information. The association relationship between the second unit information and the second other unit information may represent that the second unit information is related to the second other unit information, and the association relationship exists. The association relationship between the second unit information and the second other unit information may also represent that the second unit information is unrelated to the second other unit information, and no association relationship exists.
In operation S302, in the case where it is determined that there is a difference information group among the T second information groups from the N first information groups, the information base is updated according to the difference information group.
According to the embodiment of the present disclosure, it may be determined whether there is a difference information group among the T second information groups according to the N first information groups. And if the difference information group exists, updating the information base according to the difference information group. If no difference information group exists, the information base does not need to be updated.
For example, if there is a second unit information in the second information group different from the first unit information in the first information group, the second information group is a difference information group, and the information base needs to be updated according to the second information group. If the second information group has the second unit information different from the first unit information in the first information group, and the second target tag corresponding to the second unit information in the second information group is different from the first target tag corresponding to the first unit information in the first information group, the second information group is a difference information group, and the information base needs to be updated according to the second information group.
According to the embodiment of the disclosure, the first initial information is changed in real time, so that the current information inventory is delayed and needs to be updated regularly. And a second information group is obtained according to the second initial information, and by detecting the difference information group between the second information group and the first information group in the current information base, the information base is updated rapidly in a targeted manner, so that the information groups of the updated information base are not redundant, the information intelligent configuration efficiency is improved, and the defect that a large amount of manpower and material resources are consumed when the information base is changed is effectively overcome.
According to another embodiment of the present disclosure, the information generating method may further include, in addition to operations S201 to S202, and operations S301 to S302:
and for a second information group in the T second information groups, determining the second information group as a difference information group when determining that no first information group matched with the second information group exists in the N first information groups.
According to the embodiment of the present disclosure, the second information group may be determined as a difference information group if there is a non-matching second information group by matching the second information group with all of the N first information groups.
According to the embodiment of the disclosure, the difference information group is determined by determining whether the first information group matched with the second information group exists in the N first information groups, and then the information base is updated rapidly aiming at the difference information group, so that the real-time update of the information base is realized, and a large amount of manpower and material resource costs are saved.
According to an embodiment of the present disclosure, in a case where it is determined that there is a difference information group among the T second information groups according to the N first information groups, updating the information base according to the difference information group may include:
obtaining a difference grade according to the difference information group under the condition that the difference information group exists in the T second information groups according to the N first information groups; calling an updating strategy corresponding to the difference grade; and updating the information base according to the difference information group based on the updating strategy.
According to embodiments of the present disclosure, the difference level may characterize a degree to which the difference information set differs from the first information set. The update policy may characterize the update operation specification for different levels of variance. Different levels of difference may correspond to different update policies.
According to the embodiment of the disclosure, by performing difference grade division on the difference information groups, different updating strategies can be adopted for different difference grades, the updating speed can be increased, and the normal operation of the updating method can be ensured.
According to an embodiment of the present disclosure, the difference level may include a first difference level and a second difference level;
wherein, based on the update policy, updating the information base according to the difference information group may include:
and updating the information base according to the difference information group when the difference grade is the first difference grade. Sending an updating request to a third party under the condition that the difference level is a second difference level, so that the third party determines an operation mode according to the updating request; and in response to receiving the operation mode from the third party, updating the information base according to the difference information group based on the operation mode.
According to an embodiment of the present disclosure, the first level of difference may characterize a level of difference in which the set of difference information differs from the first set of information to a low degree. The second level of difference may be indicative of a level of difference in the set of difference information that is more highly different from the first set of difference information.
For example, in the case where the difference information group is identical to the first information group only in the case where the second target label corresponding to the second unit information is different from the first target label corresponding to the first unit information, the degree of difference may be considered to be low, and the difference information group belongs to the first difference level. In the difference information group, when the first information group differs from the second information group not only in the second unit information but also in the association relationship between the second unit information and the second other unit information, which is different from the association relationship between the first unit information and the first other unit information, the degree of difference is considered to be high, and the difference information group belongs to the second difference level.
According to the embodiment of the disclosure, for the case that the difference level is the first difference level, the information base can be automatically updated according to the difference information group after the low-level early warning prompt is received by setting the low-level early warning prompt. Aiming at the condition that the difference grade is the second difference grade, the advanced early warning prompt can be set, and the updating request is sent to the third party after the advanced early warning prompt is received, so that the third party can determine the operation mode according to the updating request; and updating the information base according to the difference information group based on the operation mode in response to receiving the operation mode from the third party. After the update is completed, an update operation record log may be generated.
It should be noted that, in order to ensure the normal operation of the update, the information base may be automatically updated according to the difference information group if the operation mode from the third party is not received in the predetermined time. The predetermined time may be 24h, for example.
According to the embodiment of the present disclosure, there is a high probability that there is an error in performing automatic update due to the difference in the level of difference. An automatic update is taken for the first difference level. And adopting an operation mode determined according to a third party for updating the second difference level. The updating speed can be improved and the normal operation of the updating can be ensured.
According to an embodiment of the present disclosure, the information generating method may further include:
analyzing the first unit information to obtain an analysis result; determining an initial label corresponding to the first unit information according to the analysis result; determining a target label corresponding to the initial label according to the category of the initial label representation; and replacing the initial tag corresponding to the first unit information with the target tag corresponding to the initial tag.
According to an embodiment of the present disclosure, the initial tag may characterize an information tag that is directly available based on the first unit information. The target label may characterize the initial label of the same category.
For example, the first unit information is unit information with educational registration and the initial label may be an "educational level" label. Information such as the Chinese national university examination degree academic calendar with the label of the education level can be determined as the target label of the 'domestic education', and education information such as American Europe with the label of the education registration can be determined as the target label of the 'foreign education'. The initial label of the 'insurance payment for industrial injury' or 'medical insurance payment' can be determined as a 'social insurance' or 'medical insurance' target label and the like.
According to the embodiment of the disclosure, the target label is obtained by unifying the initial label, so that the information label can be standardized, and the intelligent configuration screening and combining are facilitated.
According to an embodiment of the present disclosure, the information generating method may further include:
determining an incidence relation between the first unit information and the first other unit information according to the initial label;
obtaining a first information group according to the first unit information, the target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information; and
the first information group is stored in an information base.
According to an embodiment of the present disclosure, the first information group may be obtained according to a manner in which multidimensional information is stored. And combining the first unit information, the target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information to form a first information group with multi-dimensional information. And storing the first information group with the multi-dimensional information in the information base.
According to the embodiment of the disclosure, according to the initial tag, determining the association relationship between the first unit information and the first other unit information, for example, the association relationship may be that "domestic subject" and "subject book"; the 'this subject one' and the 'this subject key' have an association relationship; the 'subject key' and 'double first class' have an association relation; the 'legal stable residence' and 'self-owned house' have an association relationship; the 'owned house' and the 'owned commodity house' have an association relationship; the "own commercial housing" and the "own unit protective housing" have an association relationship, and the like.
According to the embodiment of the disclosure, the information group formed by the multi-dimensional information is stored in the information base, and intelligent configuration can be performed through the label and the incidence relation during intelligent configuration, so that the information configuration efficiency is improved.
FIG. 4 schematically shows an information intelligent configuration interaction flow diagram according to an embodiment of the disclosure.
As shown in fig. 4, the information intelligent configuration interaction flow 400 of this embodiment includes operations S401 to S407.
In operation S401, first initial information is acquired.
According to the embodiment of the disclosure, the business rule information associated with the regions can be acquired from different regions.
In operation S402, the first initial information is minimally disassembled to obtain the first unit information.
According to the embodiment of the present disclosure, after the first initial information is acquired in operation S401, minimum disassembly is performed, and a plurality of pieces of first unit information may be obtained.
For example, the business rule information may be minimally decomposed to obtain a plurality of first unit information.
In operation S403, an information base having multidimensional information is obtained based on the first unit information.
According to the embodiment of the disclosure, the first target label corresponding to the first unit information and the association relationship between the first unit information and the first other unit information can be obtained according to the obtained first unit information. The first unit information, the first target tag corresponding to the first unit information, and the association relationship between the first unit information and the first other unit information may be grouped into a first information group. And storing the first information group in an information base to obtain the information base with the multidimensional information.
In operation S404, intelligent configuration is performed to obtain target information.
According to an embodiment of the present disclosure, the information may be intelligently configured according to the information base having the multidimensional information obtained in operation S403. The target information may be obtained by screening first unit information from an information base having multidimensional information and combining the first unit information.
In operation S405, whether a target information template library is created.
According to an embodiment of the present disclosure, it is determined whether to create a library of target information templates. If so, operation S406 is performed. If not, operation S407 is performed.
In operation S406, a target information template library is created based on the target information.
According to the embodiment of the present disclosure, a plurality of target information may be obtained by re-performing the operation S404. And storing a plurality of target information in a target information template library so as to manage the target information template library. The management can include editing, deleting, shortcut application and the like of the target information template library. The shortcut application may be to directly screen the target information from the target information template library when the intelligent configuration is performed again.
According to an embodiment of the present disclosure, the first initial information may include policy information. The policy information may include business rule information.
FIG. 5 schematically shows an architectural diagram of a business rules information system according to an embodiment of the disclosure.
As shown in FIG. 5, the business rules information system may include 5 layers from bottom to top, with a standard and specification system, and an information security protection system running through each layer.
The display layer can be a business rule information system foreground, and a unified rule reporting working platform is provided for system operators at a PC (personal computer) end.
The application layer can realize the main service functions of the service rule information system, including: information management, user management, authority management, rule declaration, service examination and approval, form derivation, information configuration, report statistics and log audit. In the whole business rule, each specific business can be regarded as office condition information, so that unified management is facilitated. The information configuration may be set according to the information generation method in the embodiment of the present disclosure. For example, an information generating method includes: screening first unit information corresponding to a first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information.
The application support layer plays a role in starting and stopping, and is the main support for business processing. The application support layer provides an identity authentication, log interception, a flow engine and a cache service platform.
The data resource layer realizes the storage of various service rule information and distinguishes data based on different service scenes of the system, and the data comprises a service library and an information library. According to the requirements of different service scenes on data and access characteristics, different data storage and access mechanisms are used, and related backup and optimization strategies are formulated to ensure the continuous service capability of the system. The information base may be a pre-constructed information base in the information generation method in the embodiment of the present disclosure. The pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
The infrastructure layer supports deployment and operation in a traditional environment and various cloud environments, and supports flexible horizontal extension according to the operation condition of the business rule information system.
Fig. 6 schematically shows a technical architecture diagram inside a business rule information system according to an embodiment of the present disclosure.
As shown in fig. 6, the internal technical architecture of the business rule information system may be divided into a Web layer, an application layer, and a data layer, and may be implemented by each mainstream technical stack of a company, and is used by business personnel in a B/S architecture manner. The service rule information system has the capability of rapidly processing and responding to user requests and processing various rule declaration services, core data information of various rule declaration services generated in operation is synchronously stored in a data layer, and the information intelligent configuration of the service rule information system is ensured by using the dependence of an information base and a target information template base. The information base may be a pre-constructed information base in the information generation method in the embodiment of the present disclosure. The pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M. The object information template library may include a plurality of object information. The target information can be obtained according to the information generation method in the embodiment of the disclosure. For example, an information generating method includes: screening first unit information corresponding to the first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information.
The Web layer can adopt a service componentization design, can use various front-end technologies such as Vue + ElementUI + Echarts component library and JS (full name ' JavaScript '), Html (hypertext markup language), CSS (English full name: ' capturing Style Sheets ', Cascading Style Sheets ') and the like, and can support the realization of UI display and interaction logic of each end.
The application layer can build a basic framework, a component and Components based on SpringBoot to provide services in the form of Restful API (interface meeting REST (Representational State Transfer) architecture style), wherein an Activiti process engine supports item configuration and process scheduling; the Quartz task scheduling supports services such as newly adding and configuring a timing task; the Mybatis data persistence supports the read-write service of the data; the Redis cache service supports read-write access of a cache database; the log interception supports operation log trace keeping, and data exchange provides data exchange transmission with a related application system; the realization of various service logics and service processing processes of the system is supported through the services.
The data layer can realize the storage of various service information data, and the information data are distinguished based on different service scenes of the service rule information system. According to the requirements of different service scenes on data and access characteristics, different data storage and access mechanisms are used, and related backup and optimization strategies are formulated to ensure the continuous service capability of the system.
Based on the information generation method, the disclosure also provides an information generation device. The apparatus will be described in detail below with reference to fig. 7.
Fig. 7 schematically shows a block diagram of the structure of an information generating apparatus according to an embodiment of the present disclosure.
As shown in fig. 7, the information generating apparatus 700 of this embodiment includes a filtering module 710 and a combining module 720.
The screening module 710 is configured to screen, according to the first target tag, first unit information corresponding to the first target tag from a pre-constructed information base to obtain M pieces of first unit information, where M is an integer greater than or equal to 2. In an embodiment, the screening module 710 may be configured to perform the operation S201 described above, which is not described herein again.
The combining module 720 is configured to combine the M pieces of first unit information according to the association relationship between the M pieces of first unit information, so as to generate the target information. In an embodiment, the combining module 720 may be configured to perform the operation S202 described above, and is not described herein again.
The pre-constructed information base comprises N first information groups, each first information group comprises first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on the first initial information, and N is an integer greater than or equal to M.
According to an embodiment of the present disclosure, the information generating apparatus 700 may further include: the device comprises a first obtaining module and an updating module.
The first obtaining module is used for obtaining T second information groups according to the second initial information under the condition that the second initial information is determined to be obtained, wherein the second information groups comprise second unit information, a second target label corresponding to the second unit information and an incidence relation between the second unit information and second other unit information, and T is an integer greater than or equal to 1.
The updating module is used for updating the information base according to the difference information group under the condition that the difference information group exists in the T second information groups according to the N first information groups.
According to an embodiment of the present disclosure, any plurality of modules in the screening module 710 and the combining module 720 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the screening module 710 and the combining module 720 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in any suitable combination of any of them. Alternatively, at least one of the screening module 710 and the combining module 720 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
Fig. 8 schematically shows a block diagram of an electronic device adapted to implement the information generating method according to an embodiment of the present disclosure.
As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.
In the RAM 803, various programs and data necessary for the operation of the electronic apparatus 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM 802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 802 and/or RAM 803 described above and/or one or more memories other than the ROM 802 and RAM 803.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the method provided by the embodiment of the disclosure.
The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 801. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via communication section 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The above described systems, devices, apparatuses, modules, units, etc. may be implemented by computer program modules according to embodiments of the present disclosure.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be appreciated by a person skilled in the art that various combinations or/and combinations of features recited in the various embodiments of the disclosure and/or in the claims may be made, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (12)
1. An information generating method, comprising:
according to a first target label, screening first unit information corresponding to the first target label from a pre-constructed information base to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and
combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information;
the pre-constructed information base comprises N first information groups, each first information group comprises the first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on first initial information, and N is an integer greater than or equal to M.
2. The method of claim 1, further comprising:
under the condition that second initial information is determined to be obtained, obtaining T second information groups according to the second initial information, wherein the second information groups comprise second unit information, a second target label corresponding to the second unit information and an incidence relation between the second unit information and second other unit information, and T is an integer greater than or equal to 1; and
and under the condition that a difference information group exists in the T second information groups according to the N first information groups, updating the information base according to the difference information group.
3. The method of claim 2, further comprising:
for the second information group of the T second information groups, in a case where it is determined that there is no first information group matching the second information group of the N first information groups, determining the second information group as the difference information group.
4. The method according to claim 2 or 3, wherein, in the case where it is determined from the N first information groups that there is a difference information group among the T second information groups, the updating the information base according to the difference information group comprises:
obtaining a difference grade according to the difference information group under the condition that the difference information group exists in the T second information groups according to the N first information groups;
calling an updating strategy corresponding to the difference grade; and
and updating the information base according to the difference information group based on the updating strategy.
5. The method of claim 4, wherein the level of difference comprises a first level of difference and a second level of difference;
wherein updating the information base according to the difference information group based on the update policy comprises:
in the case where the difference level is the first difference level,
updating the information base according to the difference information group;
in the case where the difference level is the second difference level,
sending an updating request to a third party so that the third party can determine an operation mode according to the updating request; and
and in response to receiving an operation mode from the third party, updating the information base according to the difference information group based on the operation mode.
6. The method of claim 1 or 2, further comprising:
analyzing the first unit information to obtain an analysis result;
determining an initial label corresponding to the first unit information according to the analysis result;
determining a target label corresponding to the initial label according to the category of the initial label representation; and
and replacing the initial label corresponding to the first unit information with the target label corresponding to the initial label.
7. The method of claim 6, further comprising:
determining an incidence relation between the first unit information and the first other unit information according to the initial label;
obtaining the first information group according to the first unit information, the target label corresponding to the first unit information and the incidence relation between the first unit information and the first other unit information; and
storing the first set of information in the information repository.
8. The method of claim 1 or 2, wherein the first initial information comprises policy information.
9. An information generating apparatus comprising:
the screening module is used for screening first unit information corresponding to a first target label from a pre-constructed information base according to the first target label to obtain M pieces of first unit information, wherein M is an integer greater than or equal to 2; and
the combination module is used for combining the M pieces of first unit information according to the incidence relation among the M pieces of first unit information to generate target information;
the pre-constructed information base comprises N first information groups, each first information group comprises the first unit information, a first target label corresponding to the first unit information and an incidence relation between the first unit information and first other unit information, the first unit information is obtained by performing minimum disassembly on first initial information, and N is an integer greater than or equal to M.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.
11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 8.
12. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210765476.9A CN115033574A (en) | 2022-06-30 | 2022-06-30 | Information generation method, information generation device, electronic device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210765476.9A CN115033574A (en) | 2022-06-30 | 2022-06-30 | Information generation method, information generation device, electronic device, and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115033574A true CN115033574A (en) | 2022-09-09 |
Family
ID=83128635
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210765476.9A Pending CN115033574A (en) | 2022-06-30 | 2022-06-30 | Information generation method, information generation device, electronic device, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115033574A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116612609A (en) * | 2023-07-21 | 2023-08-18 | 湖北通达数科科技有限公司 | Disaster early warning method and system based on landslide hazard prediction |
-
2022
- 2022-06-30 CN CN202210765476.9A patent/CN115033574A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116612609A (en) * | 2023-07-21 | 2023-08-18 | 湖北通达数科科技有限公司 | Disaster early warning method and system based on landslide hazard prediction |
| CN116612609B (en) * | 2023-07-21 | 2023-11-03 | 湖北通达数科科技有限公司 | Disaster early warning method and system based on landslide hazard prediction |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Muniswamaiah et al. | Big data in cloud computing review and opportunities | |
| CN109997126B (en) | Event driven extraction, transformation, and loading (ETL) processing | |
| CN113254466B (en) | Data processing method and device, electronic equipment and storage medium | |
| US20180232433A1 (en) | System and Method for Dynamically Refactoring Business Data Objects | |
| Schintler et al. | Encyclopedia of big data | |
| US10360394B2 (en) | System and method for creating, tracking, and maintaining big data use cases | |
| CN111858615A (en) | Database table generation method, system, computer system and readable storage medium | |
| CA3059738A1 (en) | Behaviour data processing method, device, electronic device and computer readable medium | |
| US20220229657A1 (en) | Extensible resource compliance management | |
| US20230259647A1 (en) | Systems and methods for automated discovery and analysis of privileged access across multiple computing platforms | |
| CN111078980A (en) | Management method, device, equipment and storage medium based on credit investigation big data | |
| Alghushairy et al. | Data storage | |
| Huang | Data processing | |
| CN115033574A (en) | Information generation method, information generation device, electronic device, and storage medium | |
| US9773081B2 (en) | Analytic model lifecycle maintenance and invalidation policies | |
| CN116074376A (en) | Content management system | |
| CN114201508A (en) | Data processing method, data processing apparatus, electronic device, and storage medium | |
| US20210406391A1 (en) | Production Protection Correlation Engine | |
| CN114239511A (en) | Method and apparatus for filling data | |
| Hogan | Data center | |
| Imran et al. | Data Provenance | |
| US20230185691A1 (en) | Differential logging of computing processes | |
| CN114254081A (en) | Enterprise big data search system and method and electronic equipment | |
| CN114817314A (en) | Data processing method and device, electronic equipment and storage medium | |
| US9866446B2 (en) | Data retrieval system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |