A government information application management system and method based on big data processing

Abstract

The present invention relates to the field of information management technology, and discloses a government information application management system and method based on big data processing, including: obtaining target application data, forming analysis data, extracting application units, obtaining application databases, extracting analysis departments, extracting target query data, and transmitting the target query data to a target platform. The government information application management system and method based on big data processing judge whether the government information applied for disclosure filled in by the applicant lacks a unit, and judges whether the filled-in unit information is correct. In the case that the government information applied for disclosure filled in by the applicant lacks a unit, the system automatically judges the unit corresponding to the government information applied for disclosure by the applicant, and extracts the corresponding data for disclosure on the platform, reducing the situation where the relevant data cannot be queried and disclosed due to missing or incorrect information filled in by the applicant, avoiding repeated work of applicants and relevant staff, and improving work efficiency.

Description

Technical Field

[0001] The present invention relates to the field of information management technology, and specifically to a government information application management system and method based on big data processing. Background Art

[0002] A government information application management system and method based on big data processing can be applied to a variety of government information application management scenarios, such as administrative approval and public service applications. Through big data technology, the system can automatically identify and process large amounts of application information, improve work efficiency, reduce manual errors, optimize the approval process, and shorten waiting time. At the same time, through data analysis, the system can also identify potential application problems, adjust policies and services in a timely manner, and improve user experience.

[0003] Through steps such as demand analysis, system design, data collection, data processing, system development, system deployment, user training, and system maintenance, an efficient and stable government information application management system based on big data can be established to improve the quality and efficiency of government services.

[0004] The existing government information application management system and method based on big data processing cannot determine whether the unit corresponding to the government information filled in by the applicant for disclosure is missing based on the government information applied for disclosure by the applicant, cannot determine whether the unit information filled in by the applicant is correct based on the unit corresponding to the government information applied for disclosure by the applicant, cannot automatically determine the unit corresponding to the government information applied for disclosure by the applicant when the unit is missing in the government information applied for disclosure filled in by the applicant, cannot automatically determine whether the information meets the disclosure requirements based on the information filled in by the applicant, and cannot search the corresponding database to extract the corresponding data for disclosure on the platform. It is easy to cause the relevant data to be missing or erroneous due to the information filled in by the applicant, resulting in duplication of work for the applicant and relevant staff, reducing work efficiency, and its practicality has certain limitations. Summary of the Invention

[0005] The present invention provides a government information application management system and method based on big data processing, which are used to promote the solution of the problems raised in the background technology.

[0006] The present invention provides the following technical solution: a government information application management method based on big data processing, comprising:

[0007] Obtain target application data and generate analytical data through information analysis strategies;

[0008] The analytical data include both explicit and implicit units;

[0009] If the analyzed data is a clear unit, the unit determination strategy is executed to form unit determination data and extract the applicant unit;

[0010] If the analyzed data is an ambiguous unit, the unit query strategy is executed to form unit query data and extract the applicant unit;

[0011] According to the applicant unit, obtain the database corresponding to the applicant unit and set it as the application database;

[0012] Get the application collection;

[0013] Extract the department information of the elements in the application set from the application database and define it as the analysis department;

[0014] Get the number of analysis departments and set it as the number of departments;

[0015] If the number of departments is less than 1, the target application data is considered abnormal and the corresponding data will not be queried;

[0016] If the number of departments = 1, then extract the database corresponding to the analyzed department and define it as the department database;

[0017] According to the application set, the corresponding data in the department database is extracted and set as the target query data;

[0018] If the number of departments is greater than 1, obtain the person in charge of each analysis department and send department confirmation information;

[0019] The department confirmation information includes first confirmation information and second confirmation information;

[0020] Extract the analysis department corresponding to the first confirmation information and set it as the target department;

[0021] Extract the database corresponding to the target department and set it as the target department database;

[0022] According to the application set, the corresponding data in the target department database is extracted and defined as the target query data;

[0023] Acquire the target platform and transmit the target query data to the target platform.

[0024] As a government information application management method based on big data processing described in the present invention, the information analysis strategy is specifically as follows:

[0025] Obtain target application data;

[0026] Set the judgment field set;

[0027] Extract all keywords from the target application data and define them as analysis keywords;

[0028] Get all analysis keywords to form a keyword set;

[0029] Get the field corresponding to each analysis keyword and define it as the analysis field;

[0030] Each analysis field is mapped one-to-one to each element in the keyword set to form a field set;

[0031] Identify each element in the field set as the target element in turn;

[0032] If the target element is included in the judgment field set, it is determined that there is a clear element;

[0033] If the target element is not included in the judgment field set, it is determined that there is no explicit element;

[0034] The number of elements in the extracted field set that are determined to have clear elements is defined as the clear number;

[0035] If the number of clear units is ≥1, the analyzed data are determined to be clear units;

[0036] If the number of clear units is less than 1, the analyzed data are judged to be in unclear units.

[0037] As a government information application management method based on big data processing described in the present invention, the unit determination strategy is specifically as follows:

[0038] Get a clear quantity;

[0039] Get the field collection;

[0040] If the clear quantity = 1, then the element in the field set where the clear element exists is extracted and is defined as the target unit;

[0041] Obtain target application data;

[0042] Extracting application content from target application data;

[0043] Extract keywords from the application content and define them as application keywords;

[0044] Get all application keywords to form an application set;

[0045] Obtain the database of the target unit and set it as the analysis database;

[0046] If all the elements in the application set are present in the analysis database, the unit is determined to be filled in correctly, and the target unit is identified as the applicant unit;

[0047] If all elements in the application set are not found in the analysis database, the unit is determined to be incorrect and the unit query strategy is executed;

[0048] If the number of clear elements is greater than 1, all elements in the field set that are determined to have clear elements are extracted to form a judgment set;

[0049] Identify each element in the judgment set as an analysis element in turn;

[0050] Get the application collection;

[0051] Obtaining a database of analytical elements, which is defined as an analytical element database;

[0052] If all elements in the application set are present in the analysis element database, the unit analysis is determined to be correct and the analysis element is identified as an optional element;

[0053] If all elements in the application set are not found in the analysis element database, the unit analysis is judged to be an error;

[0054] Get the number of optional elements in the judgment set and set it as the optional number;

[0055] If the optional quantity = 1, the unit is determined to be filled in correctly, and the optional element is identified as the applicant unit;

[0056] If the optional quantity is less than 1, the unit is determined to be incorrect and the unit query strategy is executed;

[0057] If the number of optionals is greater than 1, all optional elements are obtained to form an optional set, and the unit analysis strategy is performed.

[0058] As a government information application management method based on big data processing described in the present invention, wherein: the unit query strategy is specifically:

[0059] Get the application collection;

[0060] Set local keyword set;

[0061] Identify the elements in the application set as decision elements in sequence;

[0062] If the local keyword set contains a determination element, it is determined that the local keyword exists, and the determination element is identified as a local element;

[0063] If the local keyword set does not contain the determination element, it is determined that the local keyword does not exist;

[0064] Get the number of place elements in the application set and set it as the number of places;

[0065] If the number of places = 1, then obtain all databases of the place elements to form a set of place databases;

[0066] Each element in the local database set is identified as a decision database in turn;

[0067] If it is determined that the database contains all the elements in the application set, then the database is determined to meet the query conditions and is identified as the query database;

[0068] If it is determined that the database does not contain all the elements in the application set, then the database is determined to not meet the query conditions;

[0069] Get the number of query databases in the local database set, which is defined as the query number;

[0070] If the query quantity = 1, the unit corresponding to the query database is extracted and identified as the applicant unit;

[0071] If the number of queries is less than 1, the range analysis strategy is executed;

[0072] If the number of queries is greater than 1, all query databases corresponding to the number of queries are obtained to form a selectable set, and the unit analysis strategy is executed;

[0073] If the number of places is greater than 1, all the place elements corresponding to the number of places are obtained to form a place set;

[0074] Identify each element in the place set as target information in turn, and execute steps S1-S17;

[0075] If the number of places is less than 1, the range analysis strategy is executed.

[0076] As a government information application management method based on big data processing described in the present invention, the scope analysis strategy is specifically:

[0077] Obtain target application data;

[0078] Extract applicant information from target application data;

[0079] Extract the sending information of the target application data;

[0080] If the applicant information is consistent with the sent information, the applicant information is identified as the target information and steps S1-S17 are executed;

[0081] If the applicant information is inconsistent with the sent information, the applicant information and the sent information are identified as target information in sequence, and steps S1-S17 are executed.

[0082] As a government information application management method based on big data processing described in the present invention, wherein: the steps S1-S17 are specifically:

[0083] S1. Obtain target information;

[0084] S2, obtain level database;

[0085] S3. Extract all name information containing target information from the level database and define it as analysis information;

[0086] S4. Obtain the name level corresponding to each analysis information in the level database and set it as the analysis level;

[0087] S5. Obtain the name level corresponding to the target information in the level database and set it as the target level;

[0088] S6. If the analysis level is higher than the target level, the analysis information corresponding to the analysis level is determined to be valid;

[0089] S7. If the analysis level is lower than the target level, the analysis information corresponding to the analysis level is determined to be invalid;

[0090] S8. Extract all analysis information that determines that the analysis information is valid and determine it as valid information;

[0091] S9, forming a valid information set based on the target information and all valid information according to their corresponding name levels in the level database from low to high;

[0092] S10, identifying each element in the valid information set as a valid element in turn;

[0093] S11. Obtain all databases corresponding to valid elements and define them as valid databases;

[0094] S12. Acquire all valid databases to form a valid database set;

[0095] S13. Obtain application set;

[0096] S14. Determine the valid database containing all elements in the application set as the valid analysis database;

[0097] S15. If the number of valid analysis databases in the valid database set is 1, extract the unit corresponding to the valid analysis database and identify it as the applicant unit;

[0098] S16. If the number of valid analysis databases in the valid database set is less than 1, the valid element is determined to be unqualified and removed from the valid information set.

[0099] Update the valid information set and repeat S10-S17;

[0100] S17. If the number of valid analysis databases in the valid database set is greater than 1, all valid analysis databases are acquired to form a valid analysis set, and the unit analysis strategy is executed.

[0101] As a government information application management method based on big data processing described in the present invention, the unit analysis strategy is specifically:

[0102] Get an optional set or a valid analysis set;

[0103] Identify each element in the optional set or valid analysis set as a confirmation unit in turn;

[0104] Get the person in charge of each confirmed unit and send the unit confirmation information;

[0105] The unit confirmation information includes first information and second information;

[0106] The confirmation unit corresponding to the first information is extracted and identified as the applicant unit.

[0107] As a government information application management method based on big data processing described in the present invention, wherein: the acquisition level database is specifically:

[0108] Get the target area;

[0109] Get all name information in the target area to form a name set;

[0110] Setting name levels, including first level, second level, and third level;

[0111] Sort all name levels by value from small to large to form a level set;

[0112] Extract each element in the name set in turn and define it as a level analysis element;

[0113] Get the name level corresponding to the level analysis element in the level set and set it as the judgment level;

[0114] Each judgment level is mapped one-to-one to each element in the name set to form a name level set;

[0115] Obtain all elements whose judgment level is the first level in the name level set to form a first level set;

[0116] Extract each element in the first-level set in turn and define it as the first-level element;

[0117] Obtain all subordinate elements of the first-level element that are determined to be at the second level in the name-level set to form a second-level set;

[0118] Extract each element in the second-level set in turn, define it as a second-level element, and execute step B;

[0119] Obtain all subordinate elements of the second-level element that are determined to be at the third level in the name-level set to form a third-level set;

[0120] The first level collection, the second level collection and the third level collection are integrated to form a level database.

[0121] The present invention also discloses a system for executing a government information application management method based on big data processing, which includes:

[0122] Data collection module: used to obtain target application data;

[0123] Data analysis module: used to analyze and extract applicant units;

[0124] Data confirmation module: used to determine the department to which the target application data belongs and whether the target application data is abnormal;

[0125] Data disclosure module: used to query and disclose target application data accordingly.

[0126] The present invention has the following beneficial effects:

[0127] 1. The government information application management system and method based on big data processing obtains the government information applied for disclosure by the applicant, extracts keywords in the information, and determines whether there is unit information in the government information applied for disclosure filled in by the applicant. If there is unit information, and there is only one unit information, it means that the government information applied for disclosure filled in by the applicant is not lacking unit information. The database of the unit is directly extracted to determine the department responsible for the government information. If there is no responsible department, it means that the government information does not meet the disclosure requirements, and the relevant information is not queried in the corresponding database. This reduces the situation where the relevant data cannot be queried and disclosed due to missing or incorrect information filled in by the applicant, avoids repeated work by applicants and relevant staff, and improves work efficiency.

[0128] 2. The government information application management system and method based on big data processing obtains the government information applied for disclosure by the applicant, extracts keywords in the information, and determines whether there is unit information in the government information applied for disclosure filled in by the applicant. If there is unit information, but there are multiple unit information, the number of keywords of the application information contained in the database of each unit is obtained to determine whether the unit information filled in by the applicant is correct. If there is a correct unit, the unit is identified as the application unit. If there is no correct unit, it is processed as a case of missing unit information, reducing the situation where the relevant data cannot be queried and disclosed due to missing or incorrect information filled in by the applicant, avoiding duplication of work by applicants and relevant staff, and improving work efficiency.

[0129] 3. The government information application management system and method based on big data processing obtains the government information requested for disclosure by the applicant, extracts keywords from the information, and determines whether there is unit information in the government information requested for disclosure filled out by the applicant. If there is no unit information, the unit containing all the keywords of the application information is determined by obtaining the applicant's region and the region in the government information requested for disclosure by the applicant, and the unit is identified as the application unit, thereby reducing the situation where relevant data cannot be queried and disclosed due to missing or incorrect information filled out by the applicant, avoiding duplication of work by applicants and relevant staff, and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0130] Figure 1 This is a flow chart of the government information application management method based on big data processing of the present invention;

[0131] Figure 2 This is a system block diagram of the government information application management method based on big data processing implemented by the present invention. DETAILED DESCRIPTION

[0132] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0133] Example 1: A method for managing government information applications based on big data processing, see Figure 1 ,include:

[0134] Obtain target application data and generate analytical data through information analysis strategies;

[0135] The analytical data include both explicit and implicit units;

[0136] If the analyzed data is a clear unit, the unit determination strategy is executed to form unit determination data and extract the applicant unit;

[0137] If the analyzed data is an ambiguous unit, the unit query strategy is executed to form unit query data and extract the applicant unit;

[0138] According to the applicant unit, obtain the database corresponding to the applicant unit and set it as the application database;

[0139] Get the application collection;

[0140] Extracting department information from the application database that contains elements in the application set and defining it as the analysis department, wherein the department information is the name of the department, so as to determine the name of the relevant department that can find the government information that the applicant wishes to disclose, answer the applicant's questions, and disclose the government information;

[0141] Get the number of analysis departments and set it as the number of departments;

[0142] If the number of departments is less than 1, the target application data is considered abnormal and the corresponding data will not be queried;

[0143] If the number of departments = 1, then extract the database corresponding to the analyzed department and define it as the department database;

[0144] According to the application set, the corresponding data in the department database is extracted and set as the target query data;

[0145] If the number of departments is greater than 1, obtain the person in charge of each analysis department and send department confirmation information;

[0146] The department confirmation information includes first confirmation information and second confirmation information, wherein the first confirmation information is for confirming that the target application data belongs to the department, and the second confirmation information is for confirming that the target application data does not belong to the department;

[0147] Extract the analysis department corresponding to the first confirmation information and set it as the target department;

[0148] Extract the database corresponding to the target department and set it as the target department database;

[0149] According to the application set, the corresponding data in the target department database is extracted and defined as the target query data;

[0150] A target platform is obtained, and target query data is transmitted to the target platform, where the target platform is a platform for publicizing government information.

[0151] The information analysis strategy is specifically as follows:

[0152] Obtain target application data;

[0153] Set a determination field set, which is a set of fields corresponding to all agencies and units that can apply for public information, to determine whether the application information filled in by the applicant contains the unit corresponding to the information requested for public information, such as "XX Government", "XX Bureau" and "XX Association";

[0154] Extract all keywords from the target application data and define them as analysis keywords;

[0155] Get all analysis keywords to form a keyword set;

[0156] Obtaining the field corresponding to each analysis keyword as the analysis field, wherein the field is the character code corresponding to the word, phrase or sentence in computer coding;

[0157] Each analysis field is mapped one-to-one to each element in the keyword set to form a field set;

[0158] Identify each element in the field set as the target element in turn;

[0159] If the target element is included in the judgment field set, it is determined that there is a clear element;

[0160] If the target element is not included in the judgment field set, it is determined that there is no explicit element;

[0161] The number of elements in the extracted field set that are determined to have clear elements is defined as the clear number;

[0162] If the number of clear units is ≥1, the analyzed data is determined to be a clear unit. In this case, it is determined to meet the requirements, that is, the unit responsible for managing and answering questions related to the target application data;

[0163] If the clear number is less than 1, the analysis data is determined to be an unclear unit. At this time, it is necessary to query the unit that meets the requirements, that is, the unit responsible for managing and answering questions related to the target application data.

[0164] Through the above method, based on the government information applied for disclosure by the applicant, it is judged whether the unit corresponding to the government information filled in by the applicant is missing, and based on the unit corresponding to the government information applied for disclosure filled in by the applicant, it is judged whether the unit information filled in by the applicant is correct. In the case that the unit is missing in the government information applied for disclosure filled in by the applicant, it is automatically judged whether the unit corresponding to the government information applied for disclosure by the applicant meets the disclosure requirements based on the information filled in by the applicant, and the corresponding database is searched to extract the corresponding data for disclosure on the platform, reducing the situation where the relevant data cannot be queried and disclosed due to missing or incorrect information filled in by the applicant, avoiding repeated work of applicants and relevant staff, and improving work efficiency.

[0165] Example 2: This example is an improvement made on the basis of Example 1. In the government information application management method based on big data processing, the unit determination strategy is specifically as follows:

[0166] Get a clear quantity;

[0167] Get the field collection;

[0168] If the clear quantity = 1, then the element in the field set where the clear element exists is extracted and is defined as the target unit;

[0169] Obtain target application data;

[0170] Extracting application content from the target application data, wherein the application content is the government information that the applicant wishes to disclose;

[0171] Extract keywords from the application content and define them as application keywords;

[0172] Get all application keywords to form an application set;

[0173] Obtain the database of the target unit and set it as the analysis database;

[0174] If all elements in the application set are present in the analysis database, the unit is determined to be correctly filled in, and the target unit is identified as the applicant unit;

[0175] If all elements in the application set are not found in the analysis database, the unit is determined to be incorrect and the unit query strategy is executed;

[0176] If the number of clear elements is greater than 1, all elements in the field set that are determined to have clear elements are extracted to form a judgment set;

[0177] Identify each element in the judgment set as an analysis element in turn;

[0178] Get the application collection;

[0179] Obtaining a database of analytical elements, which is defined as an analytical element database;

[0180] If all elements in the application set are present in the analysis element database, the unit analysis is determined to be correct and the analysis element is identified as an optional element;

[0181] If all elements in the application set are not found in the analysis element database, the unit analysis is judged to be an error;

[0182] Get the number of optional elements in the judgment set and set it as the optional number;

[0183] If the number of options = 1, the unit is determined to be filled in correctly, and the optional element is identified as the applicant unit, that is, the unit meets the requirements and is responsible for managing and answering questions related to the target application data;

[0184] If the number of optional units is less than 1, it is determined that the unit is filled in incorrectly and the unit query strategy is executed. That is, at this time, there is no unit that meets the requirements and is responsible for managing and answering questions related to the target application data. It is necessary to query the information of all units in the applicant's registered address and current address to determine whether there is a unit in the area that meets the requirements and is responsible for managing and answering questions related to the target application data. If there is no unit that meets the requirements, the information of all units in the upper-level area of ​​the area is further obtained until a unit that meets the requirements and is responsible for managing and answering questions related to the target application data is found;

[0185] If the number of options is greater than 1, all optional elements are obtained to form an optional set, and the unit analysis strategy is executed. That is, there are multiple units that meet the requirements at this time, and it is necessary to further confirm the unit responsible for managing and answering questions related to the target application data.

[0186] The unit query strategy is specifically as follows:

[0187] Get the application collection;

[0188] Setting a local keyword set, which includes all province names, city names, county names, and township names, to determine whether the government information the applicant wishes to disclose is government information of a local agency or a national agency;

[0189] Identify the elements in the application set as decision elements in sequence;

[0190] If the local keyword set contains a determination element, it is determined that the local keyword exists, and the determination element is identified as a local element;

[0191] If the local keyword set does not contain the determination element, it is determined that the local keyword does not exist;

[0192] Get the number of place elements in the application set and set it as the number of places;

[0193] If the number of places = 1, then obtain all databases of the place elements to form a set of place databases;

[0194] Each element in the local database set is identified as a decision database in turn;

[0195] If it is determined that the database contains all the elements in the application set, then the database is determined to meet the query conditions and is identified as the query database;

[0196] If it is determined that the database does not contain all the elements in the application set, then the database is determined to not meet the query conditions;

[0197] Get the number of query databases in the local database set, which is defined as the query number;

[0198] If the query quantity = 1, the unit corresponding to the query database is extracted and identified as the applicant unit;

[0199] If the number of queries is less than 1, the range analysis strategy is executed;

[0200] If the number of queries is greater than 1, all query databases corresponding to the number of queries are obtained to form a selectable set, and the unit analysis strategy is executed;

[0201] If the number of places is greater than 1, all the place elements corresponding to the number of places are obtained to form a place set;

[0202] Identify each element in the place set as target information in turn, and execute steps S1-S17;

[0203] If the number of places is less than 1, the range analysis strategy is executed.

[0204] The scope analysis strategy is specifically as follows:

[0205] Obtain target application data;

[0206] Extracting applicant information from the target application data, wherein the applicant information is the applicant's registered address name;

[0207] Extracting the sending information of the target application data, wherein the sending information is the address name when the applicant uploads the target application data via the Internet;

[0208] If the applicant information is consistent with the sent information, the applicant information is identified as the target information and steps S1-S17 are executed;

[0209] If the applicant information is inconsistent with the sent information, the applicant information and the sent information are identified as target information in sequence, and steps S1-S17 are executed.

[0210] The steps S1-S17 are specifically as follows:

[0211] S1. Obtain target information;

[0212] S2. Obtain a hierarchical database, i.e., classify all provinces, cities, counties, and towns, and determine the superior and subordinate names associated with each city name;

[0213] S3. Extract all name information containing the target information from the level database and define it as analysis information. For example, if the target information is XX city, the analysis information includes the name of the province where XX city is located and the names of the counties within XX city, etc.

[0214] S4. Obtain the name level corresponding to each analysis information in the level database and set it as the analysis level;

[0215] S5. Obtain the name level corresponding to the target information in the level database and set it as the target level;

[0216] S6. If the analysis level is higher than the target level, the analysis information corresponding to the analysis level is determined to be valid;

[0217] S7. If the analysis level is lower than the target level, the analysis information corresponding to the analysis level is determined to be invalid;

[0218] S8. Extract all analysis information that determines that the analysis information is valid and determine it as valid information;

[0219] S9, forming a valid information set based on the target information and all valid information according to their corresponding name levels in the level database from low to high;

[0220] S10, identifying each element in the valid information set as a valid element in turn;

[0221] S11. Obtain all databases corresponding to valid elements and define them as valid databases;

[0222] S12. Acquire all valid databases to form a valid database set;

[0223] S13. Obtain application set;

[0224] S14. Determine the valid database containing all elements in the application set as the valid analysis database;

[0225] S15. If the number of valid analysis databases in the valid database set is 1, extract the unit corresponding to the valid analysis database and identify it as the applicant unit;

[0226] S16. If the number of valid analysis databases in the valid database set is less than 1, the valid element is determined to be unqualified and removed from the valid information set.

[0227] Update the valid information set and repeat S10-S17;

[0228] S17. If the number of valid analysis databases in the valid database set is greater than 1, all valid analysis databases are acquired to form a valid analysis set, and the unit analysis strategy is executed.

[0229] The acquisition level database is specifically:

[0230] Obtaining a target area, wherein the target area is nationwide;

[0231] Obtain all name information in the target area to form a name set, wherein the name information includes all province names, city names, county names, and township names across the country;

[0232] Setting the name level, which includes the first level, the second level and the third level. The first level is the provincial level, the second level is the municipal level, and the levels are divided downward in the order of province, city, county, township, etc.

[0233] Sort all name levels by value from small to large to form a level set. For example, the value of the first level is 1, the value of the second level is 2, and so on. The larger the value, the higher the level, and the smaller the value, the lower the level.

[0234] Extract each element in the name set in turn and define it as a level analysis element;

[0235] Get the name level corresponding to the level analysis element in the level set and set it as the judgment level;

[0236] Each judgment level is mapped one-to-one to each element in the name set to form a name level set;

[0237] Obtain all elements whose judgment level is the first level in the name level set to form a first level set;

[0238] Extract each element in the first-level set in turn and define it as the first-level element;

[0239] Obtain all subordinate elements of the first-level element that are determined to be at the second level in the name-level set to form a second-level set. The subordinate elements are the elements managed by the element. For example, if the first-level element is XX Province, its subordinate elements are Cities A, B, and C under XX Province, and County D under City A, etc.;

[0240] Extract each element in the second-level set in turn, define it as a second-level element, and execute step B;

[0241] Obtain all subordinate elements of the second-level element that are determined to be at the third level in the name-level set to form a third-level set;

[0242] The first level collection, the second level collection and the third level collection are integrated to form a level database.

[0243] Example 3: This example is an improvement made on the basis of Example 2. In this example, the unit analysis strategy is specifically as follows:

[0244] Get an optional set or a valid analysis set;

[0245] Identify each element in the optional set or valid analysis set as a confirmation unit in turn;

[0246] Get the person in charge of each confirmed unit and send the unit confirmation information;

[0247] The unit confirmation information includes first information and second information, the first information confirming that the target application data belongs to the unit, and the second information confirming that the target application data does not belong to the unit;

[0248] The confirmation unit corresponding to the first information is extracted and identified as the applicant unit.

[0249] Example 4: This example also discloses a system for executing a government information application management method based on big data processing, see Figure 2 ,include:

[0250] Data collection module: used to obtain target application data;

[0251] Data analysis module: used to analyze and extract applicant units;

[0252] Data confirmation module: used to determine the department to which the target application data belongs and whether the target application data is abnormal;

[0253] Data disclosure module: used to query and disclose target application data accordingly.

[0254] In this embodiment, based on the government information applied for disclosure by the applicant, it is determined whether the unit corresponding to the government information applied for disclosure filled in by the applicant is missing, and based on the unit corresponding to the government information applied for disclosure filled in by the applicant, it is determined whether the unit information filled in by the applicant is correct. In the case that the unit is missing in the government information applied for disclosure filled in by the applicant, it is automatically determined whether the unit corresponding to the government information applied for disclosure by the applicant meets the disclosure requirements based on the information filled in by the applicant, and the corresponding database is searched to extract the corresponding data for disclosure on the platform, thereby reducing the situation where the relevant data cannot be queried and disclosed due to missing or incorrect information filled in by the applicant, avoiding duplication of work by applicants and relevant staff, and improving work efficiency.

Claims

1. A government information application management method based on big data processing, characterized by: include: Obtain target application data and generate analytical data through information analysis strategies; The analytical data include both explicit and implicit units; If the analyzed data is a clear unit, the unit determination strategy is executed to form unit determination data and extract the applicant unit; If the analyzed data is an ambiguous unit, the unit query strategy is executed to form unit query data and extract the applicant unit; According to the applicant unit, obtain the database corresponding to the applicant unit and set it as the application database; Get the application collection; Extract the department information of the elements in the application set from the application database and define it as the analysis department; Get the number of analysis departments and set it as the number of departments; If the number of departments is less than 1, the target application data is considered abnormal and the corresponding data will not be queried; If the number of departments = 1, then extract the database corresponding to the analyzed department and define it as the department database; According to the application set, the corresponding data in the department database is extracted and set as the target query data; If the number of departments is greater than 1, obtain the person in charge of each analysis department and send department confirmation information; The department confirmation information includes first confirmation information and second confirmation information, wherein the first confirmation information is for confirming that the target application data belongs to the department, and the second confirmation information is for confirming that the target application data does not belong to the department; Extract the analysis department corresponding to the first confirmation information and set it as the target department; Extract the database corresponding to the target department and set it as the target department database; According to the application set, the corresponding data in the target department database is extracted and defined as the target query data; Acquire the target platform and transmit the target query data to the target platform; The acquisition of the application set is specifically as follows: Get a clear quantity; Get the field collection; If the clear quantity = 1, then the element in the field set where the clear element exists is extracted and is defined as the target unit; Obtain target application data; Extracting application content from target application data; Extract keywords from the application content and define them as application keywords; Get all application keywords to form an application set.

2. The method for managing government information applications based on big data processing according to claim 1, characterized in that: The information analysis strategy is specifically as follows: Obtain target application data; Set the judgment field set; Extract all keywords from the target application data and define them as analysis keywords; Get all analysis keywords to form a keyword set; Get the field corresponding to each analysis keyword and define it as the analysis field; Each analysis field is mapped one-to-one to each element in the keyword set to form a field set; Identify each element in the field set as the target element in turn; If the target element is included in the judgment field set, it is determined that there is a clear element; If the target element is not included in the judgment field set, it is determined that there is no explicit element; The number of elements in the extracted field set that are determined to have clear elements is defined as the clear number; If the number of clear units is ≥1, the analyzed data are determined to be clear units; If the number of clear units is less than 1, the analyzed data are judged to be in unclear units.

3. The method for managing government information applications based on big data processing according to claim 1, characterized in that: The unit determination strategy is specifically as follows: Obtain application collection; obtain the database of the target unit and set it as the analysis database; If all elements in the application set are present in the analysis database, the unit is determined to be correctly filled in, and the target unit is identified as the applicant unit; If all elements in the application set are not found in the analysis database, the unit is determined to be incorrect and the unit query strategy is executed; If the number of clear elements is greater than 1, all elements in the field set that are determined to have clear elements are extracted to form a judgment set; Identify each element in the judgment set as an analysis element in turn; Get the application collection; Obtaining a database of analytical elements, which is defined as an analytical element database; If all elements in the application set are present in the analysis element database, the unit analysis is determined to be correct and the analysis element is identified as an optional element; If all elements in the application set are not found in the analysis element database, the unit analysis is judged to be an error; Get the number of optional elements in the judgment set and set it as the optional number; If the optional quantity = 1, the unit is determined to be filled in correctly, and the optional element is identified as the applicant unit; If the optional quantity is less than 1, the unit is determined to be incorrect and the unit query strategy is executed; If the number of optionals is greater than 1, all optional elements are obtained to form an optional set, and the unit analysis strategy is performed.

4. The method for managing government information applications based on big data processing according to claim 3, characterized in that: The unit query strategy is specifically as follows: Get the application collection; Set local keyword set; Identify the elements in the application set as decision elements in sequence; If the local keyword set contains a determination element, it is determined that the local keyword exists, and the determination element is identified as a local element; If the local keyword set does not contain the determination element, it is determined that the local keyword does not exist; Get the number of place elements in the application set and set it as the number of places; If the number of places = 1, then obtain all databases of the place elements to form a set of place databases; Each element in the local database set is identified as a decision database in turn; If it is determined that the database contains all the elements in the application set, then the database is determined to meet the query conditions and is identified as the query database; If it is determined that the database does not contain all the elements in the application set, then the database is determined to not meet the query conditions; Get the number of query databases in the local database set, which is defined as the query number; If the query quantity = 1, the unit corresponding to the query database is extracted and identified as the applicant unit; If the number of queries is less than 1, the range analysis strategy is executed; If the number of queries is greater than 1, all query databases corresponding to the number of queries are obtained to form a selectable set, and the unit analysis strategy is executed; If the number of places is greater than 1, all the place elements corresponding to the number of places are obtained to form a place set; Identify each element in the place set as target information in turn, and execute steps S1-S17; If the number of places is less than 1, the range analysis strategy is executed; The steps S1-S17 are specifically as follows: S1. Obtain target information; S2, obtain level database; S3. Extract all name information containing target information from the level database and define it as analysis information; S4. Obtain the name level corresponding to each analysis information in the level database and set it as the analysis level; S5. Obtain the name level corresponding to the target information in the level database and set it as the target level; S6. If the analysis level is higher than the target level, the analysis information corresponding to the analysis level is determined to be valid; S7. If the analysis level is lower than the target level, the analysis information corresponding to the analysis level is determined to be invalid; S8. Extract all analysis information that determines that the analysis information is valid and determine it as valid information; S9, forming a valid information set based on the target information and all valid information according to their corresponding name levels in the level database from low to high; S10, identifying each element in the valid information set as a valid element in turn; S11. Obtain all databases corresponding to valid elements and define them as valid databases; S12. Acquire all valid databases to form a valid database set; S13. Obtain application set; S14. Determine the valid database containing all elements in the application set as the valid analysis database; S15. If the number of valid analysis databases in the valid database set is 1, extract the unit corresponding to the valid analysis database and identify it as the applicant unit; S16. If the number of valid analysis databases in the valid database set is less than 1, the valid element is determined to be unqualified and removed from the valid information set. Update the valid information set and repeat S10-S17; S17. If the number of valid analysis databases in the valid database set is greater than 1, all valid analysis databases are acquired to form a valid analysis set, and the unit analysis strategy is executed.

5. The method for managing government information applications based on big data processing according to claim 4, characterized in that: The scope analysis strategy is specifically as follows: Obtain target application data; Extract applicant information from target application data; Extract the sending information of the target application data; If the applicant information is consistent with the sent information, the applicant information is identified as the target information and steps S1-S17 are executed; If the applicant information is inconsistent with the sent information, the applicant information and the sent information are identified as target information in sequence, and steps S1-S17 are executed.

6. The method for managing government information applications based on big data processing according to claim 5, characterized in that: The unit analysis strategy is specifically as follows: Get an optional set or a valid analysis set; Identify each element in the optional set or valid analysis set as a confirmation unit in turn; Get the person in charge of each confirmed unit and send the unit confirmation information; The unit confirmation information includes first information and second information; The confirmation unit corresponding to the first information is extracted and identified as the applicant unit.

7. The method for managing government information applications based on big data processing according to claim 6, characterized in that: The acquisition level database is specifically: Get the target area; Get all name information in the target area to form a name set; Setting name levels, including first level, second level, and third level; Sort all name levels by value from small to large to form a level set; Extract each element in the name set in turn and define it as a level analysis element; Get the name level corresponding to the level analysis element in the level set and set it as the judgment level; Each judgment level is mapped one-to-one to each element in the name set to form a name level set; Obtain all elements whose judgment level is the first level in the name level set to form a first level set; Extract each element in the first-level set in turn and define it as the first-level element; Obtain all subordinate elements of the first-level element that are determined to be at the second level in the name-level set to form a second-level set; Extract each element in the second-level set in turn, define it as a second-level element, and execute step B; Obtain all subordinate elements of the second-level element that are determined to be at the third level in the name-level set to form a third-level set; The first level collection, the second level collection and the third level collection are integrated to form a level database.

8. A system for executing the government information application management method based on big data processing according to claim 1, characterized in that: include: Data collection module: used to obtain target application data; Data analysis module: used to analyze and extract applicant units; Data confirmation module: used to determine the department to which the target application data belongs and whether the target application data is abnormal; Data disclosure module: used to query and disclose target application data accordingly.

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