CN111881309B - Electronic license retrieval method, device and computer readable medium - Google Patents
Electronic license retrieval method, device and computer readable medium Download PDFInfo
- Publication number
- CN111881309B CN111881309B CN202010748873.6A CN202010748873A CN111881309B CN 111881309 B CN111881309 B CN 111881309B CN 202010748873 A CN202010748873 A CN 202010748873A CN 111881309 B CN111881309 B CN 111881309B
- Authority
- CN
- China
- Prior art keywords
- electronic license
- retrieval
- determining
- scene
- service information
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000003066 decision tree Methods 0.000 claims abstract description 99
- 238000013499 data model Methods 0.000 claims abstract description 81
- 238000012545 processing Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims description 13
- 230000006870 function Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an electronic license retrieval method, an electronic license retrieval device and a computer readable medium, wherein the method comprises the following steps: basic information and business information of each first electronic license are obtained; determining identification information of each service information; creating a corresponding ID for each first electronic license; generating an electronic license data model; randomly extracting at least one second electronic license from each first electronic license, and acquiring service information and identification information of each second electronic license; determining a first index model; processing the business information and the identification information of each second electronic license in the first index model according to a decision tree algorithm to obtain a decision tree; inputting a search scene of the electronic license data to be searched into a decision tree to determine a second index model; and determining a target ID corresponding to the retrieval scene by using the second index model so as to acquire the electronic license data to be retrieved from the electronic license data model. The scheme can realize quick retrieval of the electronic license.
Description
Technical Field
The present invention relates to the field of information management, and in particular, to a method, an apparatus, and a computer readable medium for retrieving an electronic license.
Background
With the release of 6 electronic license national standards such as GB/T36901-2018 electronic license overall technical architecture and electronic license cross-region sharing standards such as C0126-2018 national government service platform data exchange and sharing interface standard, standard support is provided for realizing cross-level, cross-department, cross-region mutual authentication sharing of electronic licenses, pushing license type government information resource integration sharing and the like. Therefore, the data volume of the electronic license is continuously increased, the search demands of users are increased, and the electronic license library is required to support various search demands for different types of licenses, so that higher requirements are provided for the data search capacity of the electronic license library.
The data of different types of electronic certificates are composed of basic information items and business information items, the data characteristics of the basic information items of various electronic certificates are similar to the retrieval requirements, the data values and distribution of the business information items are greatly different from the retrieval requirements, so that the difficulty of popularizing the practical application of the electronic certificates is increased, and the quick retrieval of various combined retrieval requirements of the electronic certificates is difficult to realize.
Disclosure of Invention
The invention provides a method, a device and a computer readable medium for retrieving an electronic license, which can realize quick retrieval of the electronic license.
In a first aspect, an embodiment of the present invention provides an electronic license retrieval method, including:
acquiring basic information and business information of each first electronic license in at least one first electronic license;
for each piece of service information, determining identification information for identifying the service information according to the data type, the data distribution characteristics and the storage mode corresponding to the service information;
respectively creating corresponding IDs for each first electronic license, wherein different first electronic licenses correspond to different IDs;
generating an electronic license data model, wherein the electronic license data model characterizes the corresponding relation among the basic information, the service information, the identification information and the ID of each first electronic license;
randomly extracting at least one second electronic license from the at least one first electronic license, and acquiring service information and identification information of each second electronic license from the electronic license data model;
determining a corresponding first index model according to a storage mode of service information of each second electronic license, wherein different storage modes correspond to different index models;
Processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree;
determining a retrieval scene of electronic license data to be retrieved, wherein the retrieval scene comprises at least two pieces of service information;
inputting the search scene into the decision tree to determine a second index model which is most matched with the electronic license data to be searched from the first index models;
determining a target ID corresponding to the search scene using the second index model;
and acquiring the electronic license data to be retrieved from the electronic license data model according to the target ID.
Optionally, the creating a corresponding ID for each of the first electronic certificates includes:
determining a target electronic license type corresponding to the first electronic license from at least one preset electronic license type;
determining a target number segment corresponding to the target electronic license type;
determining the ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type;
And generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license.
Optionally, the processing, according to a decision tree algorithm, the service information and the identification information of each of the second electronic certificates in each of the first index models respectively, to obtain a decision tree includes:
determining a retrieval scene corresponding to an electronic license data model, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved;
determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm according to the retrieval type to obtain scores of fields corresponding to the service information;
and establishing a decision tree according to the score corresponding to the service information and a preset decision tree rule.
Optionally, the inputting the search scene into the decision tree to determine a second index model that is most matched with the electronic license data to be searched from the first index models includes:
Determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
determining identification information corresponding to each piece of service information in the search scene;
inputting identification information corresponding to each service information in the search scene into the decision tree to obtain the score of each first index model under the search type of the search scene;
and determining one first index model with the highest corresponding score under the retrieval type of the retrieval scene as the second index model.
Optionally, the determining, using the second index model, a target ID corresponding to the search scene includes:
determining a target field of each service information included in the retrieval scene;
establishing a query model, wherein the query model comprises all business information positioned under the target field in the electronic license data model and the ID of the first electronic license to which each business information belongs;
and determining a target ID corresponding to the retrieval scene from the query model by using the second index model.
In a second aspect, an embodiment of the present invention further provides an electronic license retrieval device, including: the system comprises an acquisition module, a generation module, a creation module, a determination module and a retrieval module;
The acquiring module is used for acquiring basic information and service information of each first electronic license in at least one first electronic license, determining identification information for identifying the service information according to a data type, a data distribution characteristic and a storage mode corresponding to the service information aiming at each service information, and respectively creating a corresponding ID for each first electronic license, wherein different first electronic licenses correspond to different IDs;
the generation module is used for generating an electronic license data model, wherein the electronic license data model characterizes the corresponding relation among the basic information, the service information, the identification information and the ID of each first electronic license acquired by the acquisition module;
the creating module is configured to randomly extract at least one second electronic license from the at least one first electronic license, obtain service information and identification information of each second electronic license from the electronic license data models generated by the generating module, determine, for each second electronic license, a corresponding first index model according to a storage mode of the service information of the second electronic license, and process the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree, where different storage modes correspond to different index models;
The determining module is configured to determine a search scene of the electronic license data to be searched, input the search scene into the decision tree obtained by the creating module, and determine a second index model that is most matched with the electronic license data to be searched from the first index models, where the search scene includes at least two pieces of service information;
the searching module is used for determining a target ID corresponding to the searching scene by using the second index model determined by the determining module, and acquiring the electronic license data to be searched from the electronic license data model generated by the generating module according to the target ID.
Alternatively, the process may be carried out in a single-stage,
the obtaining module is configured to, when executing the creating the corresponding ID for each of the first electronic certificates, execute the following operations:
determining a target electronic license type corresponding to the first electronic license from at least one preset electronic license type, and determining a target number segment corresponding to the target electronic license type;
determining the ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type;
And generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license.
Alternatively, the process may be carried out in a single-stage,
the creation module is used for respectively processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm when executing the decision tree, and executing the following operations:
determining a retrieval scene corresponding to an electronic license data model, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved;
determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm according to the retrieval type to obtain scores of fields corresponding to the service information;
and establishing a decision tree according to the score corresponding to the service information and a preset decision tree rule.
Alternatively, the process may be carried out in a single-stage,
the determining module is configured to, when executing the inputting the search scene into the decision tree to determine a second index model that is most matched with the electronic license data to be searched from the first index models, execute the following operations:
Determining a search type according to the search scene, and determining identification information corresponding to each piece of service information in the search scene, wherein the search type is accurate search or fuzzy search;
inputting identification information corresponding to each service information in the search scene into the decision tree to obtain the score of each first index model under the search type of the search scene;
and determining one first index model with the highest corresponding score under the retrieval type of the retrieval scene as the second index model.
Alternatively, the process may be carried out in a single-stage,
the search module, when executing the determination of the target ID corresponding to the search scene using the second index model determined by the determination module, is configured to execute the following operations:
determining a target field of each service information included in the retrieval scene;
establishing a query model, wherein the query model comprises all business information positioned under the target field in the electronic license data model and the ID of the first electronic license to which each business information belongs;
and determining a target ID corresponding to the retrieval scene from the query model by using the second index model.
In a third aspect, an embodiment of the present invention further provides an electronic license retrieval device, including: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform the electronic license retrieval method provided in the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, the present invention also provides a computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the electronic license retrieval method provided by the first aspect or any of the possible implementations of the first aspect.
The electronic license retrieval method, the electronic license retrieval device and the computer readable medium provided by the embodiment of the invention are characterized in that through generating an electronic license data model representing the corresponding relation among basic information, service information, identification information and ID of each electronic license, sample data composed of at least one second electronic license is obtained from the electronic license data model, the service information and the identification information of each second electronic license are obtained, then a first index model is determined, the service information and the identification information of each second electronic license are processed in each first index model according to a decision tree algorithm, a decision tree is established, a retrieval scene of the electronic license data to be retrieved is input into the decision tree to determine a second index model which is most matched with the electronic license data to be retrieved, a target ID corresponding to the scene to be retrieved is obtained by utilizing the index model, and the electronic license data to be retrieved is obtained from the electronic license data model according to the target ID. Therefore, firstly, an electronic license data model comprising all electronic license information is generated, a decision tree is created by utilizing sample data of the electronic license data model aiming at a multi-condition combined retrieval scene of electronic license data to be retrieved, so that the best matched index model is selected by utilizing the decision tree, quick retrieval aiming at multi-condition combined retrieval is realized, the retrieval efficiency under complex retrieval conditions is improved, and quick retrieval of the electronic license can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for retrieving an electronic license according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a device in which an electronic license retrieving apparatus according to an embodiment of the present invention is located;
fig. 3 is a schematic diagram of an electronic license retrieving apparatus according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making any inventive effort based on the embodiments of the present invention are within the scope of protection of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an electronic license retrieval method, which may include the following steps:
step 101: acquiring basic information and business information of each first electronic license in at least one first electronic license;
step 102: for each piece of service information, determining identification information for identifying the service information according to the data type, the data distribution characteristics and the storage mode corresponding to the service information;
step 103: respectively creating corresponding IDs for each first electronic license, wherein different first electronic licenses correspond to different IDs;
step 104: generating an electronic license data model, wherein the electronic license data model characterizes the corresponding relation among the basic information, the service information, the identification information and the ID of each first electronic license;
step 105: randomly extracting at least one second electronic license from at least one first electronic license, and acquiring service information and identification information of each second electronic license from an electronic license data model;
step 106: for each second electronic license, determining a corresponding first index model according to the storage mode of the business information of the second electronic license, wherein different storage modes correspond to different index models;
Step 107: processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree;
step 108: determining a retrieval scene of the electronic license data to be retrieved, wherein the retrieval scene comprises at least two pieces of service information;
step 109: inputting the search scene into a decision tree to determine a second index model which is most matched with the electronic license data to be searched from the first index models;
step 110: and determining a target ID corresponding to the retrieval scene by using the second index model, and acquiring the electronic license data to be retrieved from the electronic license data model according to the target ID.
According to the electronic license retrieval method provided by the embodiment of the invention, through generating an electronic license data model representing the corresponding relation among basic information, service information, identification information and ID of each electronic license, sample data composed of at least one second electronic license is obtained from the electronic license data model, the service information and the identification information of each second electronic license are obtained, a first index model is determined, the service information and the identification information of all the second electronic licenses are processed in each first index model according to a decision tree algorithm, a decision tree is established, a retrieval scene of electronic license data to be retrieved is input into the decision tree to determine a second index model which is most matched with the electronic license data to be retrieved, a target ID corresponding to the scene to be retrieved is obtained by utilizing the index model, and the electronic license data to be retrieved is obtained from the electronic license data model according to the target ID. Therefore, the method and the device can realize quick retrieval aiming at multi-condition combined retrieval by generating an electronic license data model comprising all electronic license information and identification information, aiming at a multi-condition combined retrieval scene of electronic license data to be retrieved and utilizing sample data of the electronic license data model to create a decision tree, so that the decision tree is utilized to select a best-matched index model, thereby realizing quick retrieval aiming at multi-condition combined retrieval, improving the retrieval efficiency under complex retrieval conditions and being capable of realizing quick retrieval of the electronic license.
In the embodiment of the invention, the identification information for identifying the service information is determined according to the data type, the data distribution characteristics and the storage mode corresponding to the service information, so that the characteristics of the data type, the data distribution characteristics, the storage mode and the like of the service information item which have great difference with the retrieval requirement can be normalized according to the preset rule, the retrieval is carried out according to the identification information, the retrieval difficulty is reduced, and the popularization difficulty of the practical application of the electronic license is also reduced.
For example, basic information and business information of all electronic licenses in business license data are acquired, the basic information can include legal persons and registration numbers, the business information can include legal representatives, residences and the like, and according to preset rules, data types include: text type, digital type, date type and others, and the corresponding identification information is respectively marked as 1, 2, 3 and 4; the data distribution features include: no repetition, repetition rate lower than one ten thousandth and others, and the corresponding identification information is respectively recorded as 1, 2, 3, 4 and 5; the storage mode comprises the following steps: the method comprises the steps of single table storage, sub-table storage and hash sub-table storage, wherein identification information corresponding to the single table storage, the sub-table storage and the hash sub-table storage is respectively marked as 1, 2, 3 and the like. The legal representative person data type is text type, its identification information is marked as 1, the legal representative data distribution characteristic is that the repetition rate is lower than one ten thousandth, its identification information is marked as 2, its legal representative person storage mode is sub-table storage, its identification information is marked as 2.
In the embodiment of the invention, the business information and the identification information of each second electronic license are respectively processed in each first index model according to a decision tree algorithm to obtain a decision tree, the feasibility of searching each first index model can be judged through the decision tree, probability analysis can be intuitively applied to an electronic license searching method, and the method for determining the searching model is more scientific and reliable, so that the reliable searching model is utilized to realize quick and accurate searching of the electronic license.
In the embodiment of the invention, the target ID corresponding to the retrieval scene is determined by utilizing the second index model, so that the electronic license data to be retrieved is obtained from the electronic license data model according to the target ID, and the electronic license data to be retrieved can be more accurately and rapidly obtained after the target ID is determined due to the uniqueness of the ID.
Optionally, in the electronic license searching method shown in fig. 1, step 103 creates a corresponding ID for each first electronic license, first determines a target electronic license type corresponding to the first electronic license from at least one preset electronic license type, determines a target number segment corresponding to the target electronic license type, and then determines an ID corresponding to the latest electronic license, where the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type, and then generates the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license. The specific mode is as follows:
According to the preset electronic license type, determining the target electronic license type to which the first electronic license belongs, further determining a target number segment of the target electronic license, namely the same number segment of each ID of each first electronic license in the same type of electronic license, and then determining the ID of one first electronic license which is stored recently, so as to generate the ID corresponding to the first electronic license according to the ID.
In order to facilitate searching for the electronic license of the same service type, the number segments corresponding to different electronic license types are different. For example, the number segment of the student identity card is a12020, the number segment of the driver identity card is B12020, and the number segment corresponding to the business license is C12020. Specifically, if the ID number segment corresponding to the currently latest stored business license is C12020028, and a new business license is stored, the ID is C12020029, and the ID uniquely corresponds to an electronic license.
In the embodiment of the invention, for each second electronic license, a corresponding first index model is determined according to the storage mode of the business information of the second electronic license, wherein different storage modes correspond to different index models, for example, as described in the previous embodiment, the storage mode of legal representative person information items in business licenses is sub-table storage, the identification information of the storage mode is marked as 2, the index model corresponding to the identification information is index table secondary index, and different index models correspond to different storage modes, wherein the index models comprise an ES index, an index table secondary index, a hash index and the like.
Optionally, in the electronic license retrieval method shown in fig. 1, step 107 processes the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree, first determines a retrieval scene corresponding to the electronic license data model, then determines a retrieval type according to the retrieval scene, then processes the service information and the identification information of each second electronic license in each first index model according to the decision tree algorithm according to the retrieval type to obtain a score of a field corresponding to the service information, and finally establishes a decision tree according to a preset decision tree rule according to the score corresponding to the service information, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved, and the retrieval type is accurate retrieval or fuzzy retrieval. The specific mode is as follows:
determining a search scene corresponding to the electronic license data model, determining a search type according to the search scene, processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm according to the search type, obtaining the score of a field corresponding to each service information, and establishing a decision tree according to the scores corresponding to different service information and a preset decision tree rule.
For example, as described in the previous example, the electronic license data model includes 1000 business licenses, the search scene of the electronic license data model is determined to be the business license data of the third place of the search, the search type is determined to be accurate search, then 100 business licenses (namely, the second electronic license) are extracted to obtain the identification information of the second electronic license, namely, the identification information of legal representatives, residents and other business information of each business license in the 100 business licenses is tested according to the decision tree algorithm to test the identification information of the 100 business licenses in each index model to obtain the scores of legal representatives, residents and other business information items, the highest-scoring business information item is taken as a root node, and each stage of leaf nodes are sequentially selected according to the scores, so as to establish a decision tree.
In the embodiment of the invention, a search scene of the electronic license data to be searched is determined, wherein the search scene comprises at least two pieces of service information, namely the search scene is multi-condition search, but not single-condition search, for example, as described in the previous embodiment, the search scene is business license data of search Zhang three in A or business license data of search Zhang Sanyu and 2010-2020 in A.
Optionally, in the electronic license searching method shown in fig. 1, step 109 inputs the searching scene into a decision tree to determine a second index model that is most matched with the electronic license data to be searched from the first index models, firstly determines the searching type according to the searching scene, determines the identification information corresponding to each piece of service information in the searching scene, inputs the identification information corresponding to each piece of service information in the searching scene into the decision tree to obtain the score of each first index model under the searching type, and then determines one first index model with the highest score under the searching type of the searching scene as the second index model, wherein the searching type is accurate searching or fuzzy searching. The specific mode is as follows:
after the decision tree is obtained, determining a retrieval type according to the retrieval scene, determining identification information corresponding to each piece of service information in the retrieval scene, and inputting the obtained identification information into the decision tree to obtain the score of each index model under the retrieval type, wherein the index model with the highest corresponding score is the index model which is most matched with the electronic license data to be retrieved.
For example, as described in the previous example, determining a search scene of the electronic license data to be searched, that is, determining that the search scene is business license data of the third party in the area a, determining that the search type is accurate search, determining identification information corresponding to the third party and the area a of the legal representative person, inputting the identification information into the created decision tree, and obtaining the score of each index model under the accurate search respectively as follows: the score of the hash index model is 0.11, the score of the index table secondary index is 0.11, and the score of the ES index model is 0.875, and then the ES index model with the highest score of 0.875 is determined to be the index model which is the best match with the retrieval scene.
Optionally, in the electronic license searching method shown in fig. 1, step 110 determines a target ID corresponding to a searching scene by using a second index model, first determines a target field of each piece of service information included in the searching scene, establishes a query model, and determines the target ID corresponding to the searching scene from the query model by using the second index model, where the query model includes all pieces of service information located under the target field from the electronic license data model and IDs of the first electronic license to which each piece of service information belongs. The specific mode is as follows:
determining a target field to which each piece of business information included in a retrieval scene belongs, establishing a query model, wherein the query model only comprises all pieces of business information under the target field and IDs of first electronic licenses to which each piece of business information belongs, which are acquired from an electronic license data model, and determining a target ID corresponding to the retrieval scene from the query model by utilizing an index model which is most matched with the electronic license data to be retrieved so as to acquire complete electronic license data corresponding to the target ID from the electronic license data model through the target ID.
In the embodiment of the invention, the searching of the target ID from the redundant data is avoided by establishing the query model, so that the target ID can be searched more quickly, the electronic license data to be searched is positioned in the electronic license data model according to the unique target ID, and the complete electronic license metadata conforming to the search scene is obtained, so that the search efficiency of searching the multi-condition electronic license is further improved.
In order to more clearly illustrate the technical scheme and advantages of the present invention, the following describes in detail the electronic license searching method provided by the embodiment of the present invention, which specifically includes:
step S1: and acquiring basic information and business information of each first electronic license in the at least one first electronic license.
Step S2: for each piece of service information, determining identification information for identifying the service information according to the data type, the data distribution characteristics and the storage mode corresponding to the service information.
Step S3: and respectively creating a corresponding ID for each first electronic license.
Specifically, from at least one preset electronic license type, determining a target electronic license type corresponding to a first electronic license, determining a target number segment corresponding to the target electronic license type, determining an ID corresponding to the latest electronic license, and generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on an electronic license data model in the electronic licenses corresponding to the target electronic license type, and different IDs corresponding to different first electronic licenses.
Step S4: and generating an electronic license data model.
Specifically, the electronic license data model characterizes a correspondence relationship among basic information, service information, identification information and ID of each first electronic license.
Step S5: at least one second electronic license is randomly extracted from at least one first electronic license, and service information and identification information of each second electronic license are obtained from an electronic license data model.
Step S6: and determining a corresponding first index model according to the storage mode of the business information of each second electronic license aiming at each second electronic license.
Specifically, different storage modes correspond to different index models.
Step S7: and processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree.
Specifically, determining a search scene corresponding to the electronic license data model, determining a search type according to the search scene, then respectively processing service information and identification information of each second electronic license in each first index model according to a decision tree algorithm according to the search type to obtain scores of fields corresponding to the service information, and finally establishing a decision tree according to the scores corresponding to the service information and a preset decision tree rule, wherein the electronic license data model corresponds to the same search scene as the electronic license data to be searched, and the search type is accurate search or fuzzy search.
Step S8: and determining a retrieval scene of the electronic license data to be retrieved.
Specifically, the search scene includes at least two pieces of service information.
Step S9: and inputting the search scene into a decision tree to determine a second index model which is most matched with the electronic license data to be searched from the first index models.
Specifically, a search type is determined according to a search scene, identification information corresponding to each piece of service information in the search scene is determined, the identification information corresponding to each piece of service information in the search scene is input into a decision tree to obtain a score of each first index model under the search type, and then one first index model with the highest corresponding score under the search type of the search scene is determined as a second index model, wherein the search type is accurate search or fuzzy search.
Step S10: and determining a target ID corresponding to the retrieval scene by using the second index model, and acquiring the electronic license data to be retrieved from the electronic license data model according to the target ID.
Specifically, determining a target field of each piece of service information included in the search scene, establishing a query model, and determining a target ID corresponding to the search scene from the query model by using a second index model, wherein the query model comprises all pieces of service information located under the target field from the electronic license data model and the ID of the first electronic license to which each piece of service information belongs.
As shown in fig. 2 and 3, the embodiment of the invention provides an electronic license retrieval device. The apparatus embodiments may be implemented by software, or may be implemented by hardware or a combination of hardware and software. In terms of hardware, as shown in fig. 2, a hardware structure diagram of a device where the electronic license retrieving apparatus provided in the embodiment of the present invention is located is shown, where in addition to the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 2, the device where the apparatus is located in the embodiment may generally include other hardware, such as a forwarding chip responsible for processing a message, and so on. Taking a software implementation as an example, as shown in fig. 3, the device in a logic sense is formed by reading corresponding computer program instructions in a nonvolatile memory into a memory by a CPU of a device where the device is located for operation. The electronic license retrieval device provided in this embodiment includes: an acquisition module 301, a generation module 302, a creation module 303, a determination module 304 and a retrieval module 305;
the obtaining module 301 is configured to obtain basic information and service information of each first electronic license in at least one first electronic license, determine, for each service information, identification information for identifying the service information according to a data type, a data distribution feature and a storage manner corresponding to the service information, and create a corresponding ID for each first electronic license, where different first electronic licenses correspond to different IDs;
A generating module 302, configured to generate an electronic license data model, where the electronic license data model characterizes a correspondence between the basic information, the service information, the identification information, and the ID of each first electronic license acquired by the acquiring module 301;
the creating module 303 is configured to randomly extract at least one second electronic license from the at least one first electronic license, obtain service information and identification information of each second electronic license from the electronic license data models generated by the generating module 302, determine, for each second electronic license, a corresponding first index model according to a storage manner of the service information of the second electronic license, and process the service information and identification information of each second electronic license in each first index model according to a decision tree algorithm, so as to obtain a decision tree, where different storage manners correspond to different index models;
the determining module 304 is configured to determine a search scene of the electronic license data to be searched, input the search scene into the decision tree obtained by the creating module 303, so as to determine a second index model that is most matched with the electronic license data to be searched from the first index models, where the search scene includes at least two pieces of service information;
The retrieving module 305 is configured to determine, using the second index model determined by the determining module 304, a target ID corresponding to the retrieval scene, and obtain, according to the target ID, electronic license data to be retrieved from the electronic license data model generated by the generating module 302.
In the embodiment of the present invention, on the basis of the electronic license retrieval device shown in fig. 3, the obtaining module 301 is configured to, when executing creating a corresponding ID for each first electronic license, perform the following operations:
determining a target electronic license type corresponding to the first electronic license from at least one preset electronic license type, and determining a target number segment corresponding to the target electronic license type;
determining an ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type;
and generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license.
In the embodiment of the present invention, on the basis of the electronic license retrieval device shown in fig. 3, the creating module 303 is configured to, when executing processing, according to a decision tree algorithm, service information and identification information of each second electronic license in each first index model, respectively, to obtain a decision tree, perform the following operations:
Determining a retrieval scene corresponding to the electronic license data model, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved;
determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain scores of fields corresponding to the service information;
and establishing a decision tree according to a score corresponding to the service information and a preset decision tree rule.
In the embodiment of the present invention, on the basis of the electronic license searching device shown in fig. 3, the determining module 304 is configured to perform the following operations when executing inputting a search scene into the decision tree to determine, from the first index models, a second index model that is most matched with the electronic license data to be searched:
determining a search type according to a search scene, and determining identification information corresponding to each piece of service information in the search scene, wherein the search type is accurate search or fuzzy search;
inputting identification information corresponding to each service information in the search scene into a decision tree to obtain the score of each first index model under the search type of the search scene;
And determining one first index model with the highest corresponding score under the retrieval type of the retrieval scene as a second index model.
In the embodiment of the present invention, on the basis of the electronic license retrieving apparatus shown in fig. 3, the retrieving module 305 is configured to, when executing the determination of the target ID corresponding to the retrieved scene using the second index model determined by the determining module 304, execute the following operations:
determining a target field of each piece of service information included in the retrieval scene;
establishing a query model, wherein the query model comprises all business information positioned under a target field in an electronic license data model and an ID of a first electronic license to which each business information belongs;
a target ID corresponding to the retrieved scene is determined from the query model using the second index model.
It will be appreciated that the structure illustrated in the embodiments of the present invention does not constitute a specific limitation on the electronic license retrieval device. In other embodiments of the invention, the electronic license retrieval device may include more or fewer components than shown, or may combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
The content of information interaction and execution process between the modules in the device is based on the same conception as the embodiment of the method of the present invention, and specific content can be referred to the description in the embodiment of the method of the present invention, which is not repeated here.
The embodiment of the invention also provides an electronic license retrieval device, which comprises: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine-readable program to execute the electronic license retrieval method according to any of the embodiments of the present invention.
The embodiment of the invention also provides a computer readable medium, wherein the computer readable medium is stored with computer instructions, and the computer instructions, when executed by a processor, cause the processor to execute the electronic license retrieval method in any embodiment of the invention.
Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium.
In this case, the program code itself read from the storage medium may realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code form part of the present invention.
Examples of the storage medium for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer by a communication network.
Further, it should be apparent that the functions of any of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform part or all of the actual operations based on the instructions of the program code.
Further, it is understood that the program code read out by the storage medium is written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion module connected to the computer, and then a CPU or the like mounted on the expansion board or the expansion module is caused to perform part and all of actual operations based on instructions of the program code, thereby realizing the functions of any of the above embodiments.
In summary, the method, the device and the computer readable medium for retrieving the electronic license provided by the invention have at least the following beneficial effects:
1. in the embodiment of the invention, through generating an electronic license data model representing the corresponding relation among basic information, service information, identification information and ID of each electronic license, sample data composed of at least one second electronic license is obtained from the electronic license data model, the service information and the identification information of each second electronic license are obtained, a first index model is determined, the service information and the identification information of each second electronic license are processed in each first index model according to a decision tree algorithm, a decision tree is established, a search scene of electronic license data to be searched is input into the decision tree, so as to determine a second index model which is most matched with the electronic license data to be searched, a target ID corresponding to a scene to be searched is obtained by using the index model, and the electronic license data to be searched is obtained from the electronic license data model according to the target ID. Therefore, the method and the device can realize quick retrieval aiming at multi-condition combined retrieval by generating an electronic license data model comprising all electronic license information and identification information, aiming at a multi-condition combined retrieval scene of electronic license data to be retrieved and utilizing sample data of the electronic license data model to create a decision tree, so that the decision tree is utilized to select a best-matched index model, thereby realizing quick retrieval aiming at multi-condition combined retrieval, improving the retrieval efficiency under complex retrieval conditions and being capable of realizing quick retrieval of the electronic license.
2. In the embodiment of the invention, the identification information for identifying the service information is determined according to the data type, the data distribution characteristics and the storage mode corresponding to the service information, so that the characteristics of the data type, the data distribution characteristics, the storage mode and the like of the service information item which have great difference with the retrieval requirement can be normalized according to the preset rule, the retrieval is carried out according to the identification information, the retrieval difficulty is reduced, and the popularization difficulty of the practical application of the electronic license is also reduced.
3. In the embodiment of the invention, the business information and the identification information of each second electronic license are respectively processed in each first index model according to a decision tree algorithm to obtain a decision tree, the feasibility of searching each first index model can be judged through the decision tree, probability analysis can be intuitively applied to an electronic license searching method, and the method for determining the searching model is more scientific and reliable, so that the reliable searching model is utilized to realize quick and accurate searching of the electronic license.
4. In the embodiment of the invention, the searching of the target ID from the redundant data is avoided by establishing the query model, so that the target ID can be searched more quickly, the electronic license data to be searched is positioned in the electronic license data model according to the unique target ID, and the complete electronic license metadata conforming to the search scene is obtained, so that the search efficiency of searching the multi-condition electronic license is further improved.
It is noted that relational terms such as first and second, and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprises one" does not exclude that an additional identical element is present in a process, method, article or apparatus that comprises the element.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: various media in which program code may be stored, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.
Claims (10)
1. The electronic license retrieval method is characterized by comprising the following steps:
acquiring basic information and business information of each first electronic license in at least one first electronic license;
for each piece of service information, determining identification information for identifying the service information according to the data type, the data distribution characteristics and the storage mode corresponding to the service information;
respectively creating corresponding IDs for each first electronic license, wherein different first electronic licenses correspond to different IDs;
generating an electronic license data model, wherein the electronic license data model characterizes the corresponding relation among the basic information, the service information, the identification information and the ID of each first electronic license;
randomly extracting at least one second electronic license from the at least one first electronic license, and acquiring service information and identification information of each second electronic license from the electronic license data model;
Determining a corresponding first index model according to a storage mode of service information of each second electronic license, wherein different storage modes correspond to different index models;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree;
determining a retrieval scene of electronic license data to be retrieved, wherein the retrieval scene comprises at least two pieces of service information;
inputting the search scene into the decision tree to determine a second index model which is most matched with the electronic license data to be searched from the first index models;
determining a target ID corresponding to the search scene using the second index model;
and acquiring the electronic license data to be retrieved from the electronic license data model according to the target ID.
2. The method of claim 1, wherein the creating a corresponding ID for each of the first electronic certificates, respectively, comprises:
determining a target electronic license type corresponding to the first electronic license from at least one preset electronic license type;
Determining a target number segment corresponding to the target electronic license type;
determining the ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type;
and generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license.
3. The method of claim 1, wherein the processing the service information and the identification information of each of the second electronic certificates in each of the first index models according to the decision tree algorithm to obtain a decision tree includes:
determining a retrieval scene corresponding to an electronic license data model, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved;
determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm according to the retrieval type to obtain scores of fields corresponding to the service information;
And establishing a decision tree according to the score corresponding to the service information and a preset decision tree rule.
4. The method of claim 1, wherein the inputting the search scenario into the decision tree to determine a second index model from the first index models that best matches the electronic license data to be searched comprises:
determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
determining identification information corresponding to each piece of service information in the search scene;
inputting identification information corresponding to each service information in the search scene into the decision tree to obtain the score of each first index model under the search type of the search scene;
and determining one first index model with the highest corresponding score under the retrieval type of the retrieval scene as the second index model.
5. The method of any of claims 1 to 4, wherein the determining, using the second index model, a target ID corresponding to the search scene comprises:
determining a target field of each service information included in the retrieval scene;
Establishing a query model, wherein the query model comprises all business information positioned under the target field in the electronic license data model and the ID of the first electronic license to which each business information belongs;
and determining a target ID corresponding to the retrieval scene from the query model by using the second index model.
6. The electronic license retrieval device is characterized by comprising an acquisition module, a generation module, a creation module, a determination module and a retrieval module;
the acquiring module is used for acquiring basic information and service information of each first electronic license in at least one first electronic license, determining identification information for identifying the service information according to a data type, a data distribution characteristic and a storage mode corresponding to the service information aiming at each service information, and respectively creating a corresponding ID for each first electronic license, wherein different first electronic licenses correspond to different IDs;
the generation module is used for generating an electronic license data model, wherein the electronic license data model characterizes the corresponding relation among the basic information, the service information, the identification information and the ID of each first electronic license acquired by the acquisition module;
The creating module is configured to randomly extract at least one second electronic license from the at least one first electronic license, obtain service information and identification information of each second electronic license from the electronic license data models generated by the generating module, determine, for each second electronic license, a corresponding first index model according to a storage mode of the service information of the second electronic license, and process the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm to obtain a decision tree, where different storage modes correspond to different index models;
the determining module is configured to determine a search scene of the electronic license data to be searched, input the search scene into the decision tree obtained by the creating module, and determine a second index model that is most matched with the electronic license data to be searched from the first index models, where the search scene includes at least two pieces of service information;
the searching module is used for determining a target ID corresponding to the searching scene by using the second index model determined by the determining module, and acquiring the electronic license data to be searched from the electronic license data model generated by the generating module according to the target ID.
7. The apparatus according to claim 6, comprising:
the obtaining module is configured to, when executing the creating the corresponding ID for each of the first electronic certificates, execute the following operations:
determining a target electronic license type corresponding to the first electronic license from at least one preset electronic license type, and determining a target number segment corresponding to the target electronic license type;
determining the ID corresponding to the latest electronic license, wherein the latest electronic license is the electronic license with the shortest time stored on the electronic license data model in the electronic licenses corresponding to the target electronic license type;
generating the ID corresponding to the first electronic license according to the ID corresponding to the latest electronic license;
and/or the number of the groups of groups,
the creation module is used for respectively processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm when executing the decision tree, and executing the following operations:
determining a retrieval scene corresponding to an electronic license data model, wherein the electronic license data model corresponds to the same retrieval scene as the electronic license data to be retrieved;
Determining a retrieval type according to the retrieval scene, wherein the retrieval type is accurate retrieval or fuzzy retrieval;
processing the service information and the identification information of each second electronic license in each first index model according to a decision tree algorithm according to the retrieval type to obtain scores of fields corresponding to the service information;
and establishing a decision tree according to the score corresponding to the service information and a preset decision tree rule.
8. The apparatus according to claim 6, comprising:
the determining module is configured to, when executing the inputting the search scene into the decision tree to determine a second index model that is most matched with the electronic license data to be searched from the first index models, execute the following operations:
determining a search type according to the search scene, and determining identification information corresponding to each piece of service information in the search scene, wherein the search type is accurate search or fuzzy search;
inputting identification information corresponding to each service information in the search scene into the decision tree to obtain the score of each first index model under the search type of the search scene;
Determining one first index model with the highest corresponding score under the retrieval type of the retrieval scene as the second index model;
and/or the number of the groups of groups,
the search module, when executing the determination of the target ID corresponding to the search scene using the second index model determined by the determination module, is configured to execute the following operations:
determining a target field of each service information included in the retrieval scene;
establishing a query model, wherein the query model comprises all business information positioned under the target field in the electronic license data model and the ID of the first electronic license to which each business information belongs;
and determining a target ID corresponding to the retrieval scene from the query model by using the second index model.
9. The electronic license retrieval device is characterized by comprising: at least one memory and at least one processor;
the at least one memory for storing a machine readable program;
the at least one processor configured to invoke the machine readable program to perform the method of any of claims 1 to 5.
10. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010748873.6A CN111881309B (en) | 2020-07-30 | 2020-07-30 | Electronic license retrieval method, device and computer readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010748873.6A CN111881309B (en) | 2020-07-30 | 2020-07-30 | Electronic license retrieval method, device and computer readable medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111881309A CN111881309A (en) | 2020-11-03 |
| CN111881309B true CN111881309B (en) | 2023-12-26 |
Family
ID=73204238
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010748873.6A Active CN111881309B (en) | 2020-07-30 | 2020-07-30 | Electronic license retrieval method, device and computer readable medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111881309B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112364189B (en) * | 2020-11-16 | 2023-02-21 | 浪潮云信息技术股份公司 | Electronic certificate application method based on ES service |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108170857A (en) * | 2018-01-22 | 2018-06-15 | 广州市中智软件开发有限公司 | A kind of method for building up and call method of the cross-domain interconnection services of electronics license |
| WO2019174132A1 (en) * | 2018-03-12 | 2019-09-19 | 平安科技（深圳）有限公司 | Data processing method, server and computer storage medium |
| CN111098312A (en) * | 2018-12-12 | 2020-05-05 | 广东鼎义互联科技股份有限公司 | Window government affairs service robot |
-
2020
- 2020-07-30 CN CN202010748873.6A patent/CN111881309B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108170857A (en) * | 2018-01-22 | 2018-06-15 | 广州市中智软件开发有限公司 | A kind of method for building up and call method of the cross-domain interconnection services of electronics license |
| WO2019174132A1 (en) * | 2018-03-12 | 2019-09-19 | 平安科技（深圳）有限公司 | Data processing method, server and computer storage medium |
| CN111098312A (en) * | 2018-12-12 | 2020-05-05 | 广东鼎义互联科技股份有限公司 | Window government affairs service robot |
Non-Patent Citations (2)
| Title |
|---|
| 互联网环境中电子证照密码应用方案研究;彭红;王斯梁;;软件(03);全文 * |
| 数据挖掘技术在特色资源库中的应用;蔡璐;;计算技术与自动化(03);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111881309A (en) | 2020-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5328808B2 (en) | Data clustering method, system, apparatus, and computer program for applying the method | |
| US9158838B2 (en) | Determining query return referents for concept types in conceptual graphs | |
| CN112989055B (en) | Text recognition method and device, computer equipment and storage medium | |
| CN110929125A (en) | Search recall method, apparatus, device and storage medium thereof | |
| CN111563103B (en) | Method and system for detecting data blood relationship | |
| CN113239365B (en) | Vulnerability repairing method based on knowledge graph | |
| CN104750776A (en) | Accessing information content in a database platform using metadata | |
| US20110153327A1 (en) | Systems and methods for identity matching based on phonetic and edit distance matching | |
| CN110019542B (en) | Generation of enterprise relationship, generation of organization member database and identification of same name member | |
| CN111881309B (en) | Electronic license retrieval method, device and computer readable medium | |
| CN110895587B (en) | Method and device for determining target user | |
| CN112363996B (en) | Method, system and medium for establishing physical model of power grid knowledge graph | |
| KR20080046490A (en) | Method for identifying face using montage and apparatus thereof | |
| CN117216109A (en) | Data query method, device and storage medium for multi-type mixed data | |
| CN115577147A (en) | Visual information map retrieval method and device, electronic equipment and storage medium | |
| CN116226108A (en) | Data management method and system capable of realizing different management degrees | |
| US20140195561A1 (en) | Search method and information managing apparatus | |
| CN114756622A (en) | Government affair data sharing exchange system based on data lake | |
| CN114138986A (en) | Customer management platform with enhanced content and method thereof | |
| CN114139547A (en) | Knowledge fusion method, device, equipment, system and medium | |
| CN113535962A (en) | Data storage method, device, electronic device, program product and storage medium | |
| CN107239517B (en) | Multi-condition searching method and device based on Hbase database | |
| CN116992111B (en) | Data processing method, device, electronic equipment and computer storage medium | |
| CN116450581B (en) | Local quick matching method and system for white list and electronic equipment | |
| KR102640986B1 (en) | System and method of creating virtual asset transaction analysis database based on transaction information on blockchain network |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |