CN111352985A - Data service platform, method and storage medium based on computer system - Google Patents
Data service platform, method and storage medium based on computer system Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2107—File encryption
Abstract
The invention belongs to the technical field of data service, and discloses a data service platform, a method and a storage medium based on a computer system, which comprise a user information registration module, a user information storage module and a user information processing module, wherein the user information registration module is used for registering user information; the user data uploading module is used for uploading user data; the data mining module is used for mining a data source; the data security detection module is used for detecting data security information; the demand uploading module is used for acquiring data demands of users; the data analysis module is used for performing data interaction, data multi-dimensional analysis, data association analysis and data calculation; the data classification module is used for classifying the data; the data encryption module is used for encrypting data; the data matching module is used for matching data; the data retrieval module is used for retrieving data information. The invention can acquire and use different types of data from a plurality of data sources and generate corresponding data interaction reports, thereby facilitating the reference of data in the later period.
Description
Technical Field
The invention belongs to the technical field of data service, and particularly relates to a data service platform, a data service method and a data service storage medium based on a computer system.
Background
Computer systems refer to computer hardware and software and network systems used for database management. Database systems require a large main memory to store and run operating systems, database management system programs, application programs, and databases, directories, system buffers, etc., while auxiliary memory requires a large direct access device. In addition, the system should have strong network functions. The data service is an information technology driven service for providing various survival form evolutions of data such as data acquisition, data transmission, data storage, data processing (including calculation, analysis, visualization and the like), data exchange, data destruction and the like. However, the existing data usage organization needs to combine data streams of a plurality of data generation organizations, but only uses partial data in a single data stream, so a lot of manpower is needed to perform cross-data-stream filtering and data aggregation, which not only wastes bandwidth, but also requires a very high manpower cost. Meanwhile, the classification accuracy rate is low, and the data retrieval efficiency is low.
In summary, the problems of the prior art are as follows: the existing data service platform cannot comprehensively use data of a plurality of data sources and cannot comprehensively filter, aggregate and classify the data; and the existing data classification has low accuracy and low data retrieval efficiency.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a data service platform, a data service method and a data service storage medium based on a computer system.
The invention is realized in such a way that a data service platform based on a computer system comprises:
the user information registration module is connected with the main control module and used for registering the user information through a registration program;
the user data uploading module is connected with the main control module and is used for uploading user data through an uploading program;
the data mining module is connected with the main control module and is used for mining a data source through a big data mining technology;
the data security detection module is connected with the main control module and used for detecting data security information through a security program;
the demand uploading module is connected with the main control module and is used for acquiring the data demand of the user;
the main control module is connected with the user information registration module, the user data uploading module, the data mining module, the data security detection module, the demand uploading module, the data analysis module, the data classification module, the data encryption module, the data matching module, the data retrieval module, the system updating module, the cloud storage module and the display module and is used for controlling the normal work of each module through a host;
the data analysis module is connected with the main control module and is used for carrying out data interaction, data multi-dimensional analysis, data association analysis and data calculation; meanwhile, the method is used for generating a data interaction report and an interaction chart;
the data classification module is connected with the main control module and is used for classifying the data through a classification program based on the data analysis result;
the data encryption module is connected with the main control module and used for encrypting data through an encryption program;
the data matching module is connected with the main control module and is used for matching data;
the data retrieval module is connected with the main control module and used for retrieving data information through a retrieval program;
the system updating module is connected with the main control module and used for updating the data through an updating program;
the cloud storage module is connected with the main control module and used for carrying out cloud storage on data through a cloud server;
and the display module is connected with the main control module and used for displaying user information, uploading user data, safety information, a data interaction report form, an interaction chart, classification data, a retrieval result, a matching result and updating information through a display.
Another object of the present invention is to provide a data service method based on a computer system, which is applied to the data service platform based on a computer system, and the data service method based on a computer system includes:
step one, registering user information through a registration program; uploading user data through an uploading program; mining a data source through a big data mining technology;
step two, detecting data security information through a security program; acquiring data requirements of a user;
performing data interaction, data multi-dimensional analysis, data association analysis and data calculation on the data which is verified to be safe; generating a data interaction report and an interaction chart at the same time;
classifying the data through a classification program based on the data analysis result; encrypting the data through an encryption program; carrying out data matching; retrieving the data information through a retrieval program; updating the data through an updating program;
step five, carrying out cloud storage on the data through a cloud server; and displaying the user information, uploading the user data, the safety information, the data interaction report, the interaction chart, the classification data, the retrieval result, the matching result and the updating information through the display.
Further, in step four, the data classification method is as follows:
(1) dividing target classification data into a isomorphic part and a heterogeneous part by a classification program according to the feature space structure of source domain data in a preset source domain, wherein the number of the feature space structures is more than or equal to 2, the isomorphic part is the part with the same structure as the source domain data in a feature space, and the heterogeneous part is the part with a different structure from the source domain data in the feature space;
(2) classifying the isomorphic part to obtain an isomorphic classification result based on the preset source domain; classifying the heterogeneous part to obtain a heterogeneous classification result based on the preset source domain; determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result and the heterogeneous classification result based on the preset source domain;
(3) and determining a target classification result of the target classification data according to each combined classification result.
Further, the step (2) further comprises:
classifying the target classification data according to the preset source domain to obtain a source domain classification result based on the preset source domain;
and determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result, the heterogeneous classification result and the source domain classification result based on the preset source domain.
Further, in step four, the data matching method includes:
the method comprises the steps of firstly, acquiring demand data information uploaded by a user;
secondly, verifying whether the demand data information uploaded by the user is in compliance; if the requirement information uploaded by the user is in compliance, turning to the third step; if the rule is not regular, uploading a violation prompt fed back by the user of the data requirement;
thirdly, extracting keywords of the user uploading demand information, matching the keywords with the constructed data interaction report, and calling related data to feed back to the corresponding client if matching is successful; and if the matching is not successful, mining related data from a plurality of data sources by using a data mining technology, storing the related data in a cloud database, and feeding back related customers.
Further, in step four, the data retrieval method is as follows:
1) constructing two identical index libraries corresponding to basic data serving as a retrieval object through a retrieval program;
2) when auxiliary data serving as a retrieval object is obtained, determining a first index base to be reconstructed from at least one index base which is not currently subjected to data retrieval;
3) reconstructing the first index base according to the current corresponding retrieval object of the first index base and the auxiliary data obtained this time;
4) when a data retrieval request is obtained, determining a second index library to be utilized from at least one index library which is not currently executed with reconstruction operation;
5) determining a retrieval result corresponding to the data retrieval request based on the second index library and the corresponding retrieval object;
6) determining a corresponding category database according to the keywords of the retrieval result and a preset category determination rule; searching in the first index library according to the keywords to obtain a plurality of search results respectively corresponding to the plurality of users; merging the plurality of retrieval results according to a preset merging rule; and sending the combined retrieval result to the plurality of users.
Further, before determining the corresponding category database according to the keyword of the search result and the predetermined category determination rule, the method further includes:
sending a merging retrieval request to other users in the plurality of users appointed by any user according to an invitation instruction sent by any user in the plurality of users;
and when detecting that the other users receive the combined retrieval request, receiving the keywords respectively input by the any user and the other users.
Further, the step 2) comprises: if the number of the index bases which are not subjected to data retrieval is two, randomly selecting one index base as a first index base to be reconstructed; and if the index base which is not subjected to data retrieval currently is one, taking the index base which is not subjected to data retrieval currently as the first index base to be reconstructed.
Further, the step 4) comprises: if the number of the index libraries which are not currently subjected to the reconstruction operation is two, one index library is randomly selected as a second index library to be utilized; and if the index base which is not currently subjected to the reconstruction operation is one, taking the index base which is not currently subjected to the reconstruction operation as a second index base to be utilized.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the computer system based data service method when executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the computer-system-based data service method.
The invention has the advantages and positive effects that: the data security verification method and the data security verification system can acquire and use different types of data from a plurality of data sources, carry out unified data security verification to ensure the security of the data, simultaneously carry out unified processing, calculation analysis and classification and summarization on the acquired data, generate corresponding data interaction reports, and facilitate the reference of the data in the later period. The invention also provides a data matching service, which can match corresponding data for different data requirements.
According to the method, a data classification module divides target classification data into an isomorphic part and an isomerous part according to a characteristic space structure of source domain data in a preset source domain, then classifies the isomerous part to obtain an isomerous classification result based on the preset source domain, and classifies the isomerous part to obtain an isomerous classification result based on the preset source domain; therefore, according to the isomorphic classification result and the heterogeneous classification result based on the preset source domain, the accuracy of the determined combined classification result corresponding to the preset source domain is high, and therefore, according to the combined classification result corresponding to the preset source domain, the accuracy of the determined target classification result of the target classification data is high; meanwhile, the retrieval results of a plurality of users in the same aspect are actively combined in a personalized manner through the data retrieval module, so that the convenience of user retrieval is improved, the selection range of the users is widened, the common requirements of the users in the same aspect are met, the user experience is improved, the aim of avoiding influencing the response to the data retrieval request in the process of updating the index database by using auxiliary data is fulfilled, and the retrieval efficiency is improved.
Drawings
Fig. 1 is a block diagram of a data service platform based on a computer system according to an embodiment of the present invention.
In the figure: 1. a user information registration module; 2. a user data uploading module; 3. a data mining module; 4. a data security detection module; 5. a demand uploading module; 6. a main control module; 7. a data analysis module; 8. a data classification module; 9. a data encryption module; 10. a data matching module; 11. a data retrieval module; 12. a system update module; 13. a cloud storage module; 14. and a display module.
FIG. 2 is a flow chart of a data service method based on a computer system according to an embodiment of the present invention.
Fig. 3 is a flowchart of a data classification method according to an embodiment of the present invention.
Fig. 4 is a flowchart of a data matching method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a data retrieval method according to an embodiment of the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a data service platform based on a computer system provided by an embodiment of the present invention includes:
and the user information registration module 1 is connected with the main control module 6 and is used for registering the user information through a registration program.
And the user data uploading module 2 is connected with the main control module 6 and is used for uploading user data through an uploading program.
And the data mining module 3 is connected with the main control module 6 and is used for mining a data source through a big data mining technology.
And the data security detection module 4 is connected with the main control module 6 and is used for detecting data security information through a security program.
And the requirement uploading module 5 is connected with the main control module 6 and is used for acquiring the data requirement of the user.
The main control module 6 is connected with the user information registration module 1, the user data uploading module 2, the data mining module 3, the data security detection module 4, the requirement uploading module 5, the data analysis module 7, the data classification module 8, the data encryption module 9, the data matching module 10, the data retrieval module 11, the system updating module 12, the cloud storage module 13 and the display module 14, and is used for controlling the normal work of each module through a host.
The data analysis module 7 is connected with the main control module 6 and is used for data interaction, data multi-dimensional analysis, data association analysis and data calculation; and meanwhile, the method is used for generating a data interaction report and an interaction chart.
And the data classification module 8 is connected with the main control module 6 and is used for classifying the data through a classification program based on the data analysis result.
And the data encryption module 9 is connected with the main control module 6 and is used for encrypting data through an encryption program.
And the data matching module 10 is connected with the main control module 6 and is used for matching data.
And the data retrieval module 11 is connected with the main control module 6 and is used for retrieving data information through a retrieval program.
And the system updating module 12 is connected with the main control module 6 and is used for updating the data through an updating program.
And the cloud storage module 13 is connected with the main control module 6 and is used for carrying out cloud storage on the data through a cloud server.
And the display module 14 is connected with the main control module 6 and is used for displaying user information, uploading user data, safety information, data interaction reports, interaction charts, classification data, retrieval results, matching results and updating information through a display.
As shown in fig. 2, a data service method based on a computer system according to an embodiment of the present invention includes:
s101, registering user information through a registration program; uploading user data through an uploading program; data sources are mined by big data mining techniques.
S102, detecting data security information through a security program; and acquiring the data requirement of the user.
S103, carrying out data interaction, data multi-dimensional analysis, data association analysis and data calculation on the data which is verified to be safe; and simultaneously generating a data interaction report and an interaction chart.
S104, classifying the data through a classification program based on the data analysis result; encrypting the data through an encryption program; carrying out data matching; retrieving the data information through a retrieval program; and updating the data through an updating program.
S105, performing cloud storage on the data through a cloud server; and displaying the user information, uploading the user data, the safety information, the data interaction report, the interaction chart, the classification data, the retrieval result, the matching result and the updating information through the display.
Example 1
Fig. 2 shows a data service method based on a computer system according to an embodiment of the present invention, and fig. 3 shows a data classification method according to an embodiment of the present invention as follows:
s201, dividing target classification data into a isomorphic part and a heterogeneous part through a classification program according to the feature space structure of source domain data in a preset source domain, wherein the isomorphic part is the part with the same structure as the source domain data in the feature space, and the heterogeneous part is the part with the different structure from the source domain data in the feature space.
S202, classifying the isomorphic parts to obtain isomorphic classification results based on the preset source domain; classifying the heterogeneous part to obtain a heterogeneous classification result based on the preset source domain; and determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result and the heterogeneous classification result based on the preset source domain.
S203, determining a target classification result of the target classification data according to each combined classification result.
Step S202 provided in the embodiment of the present invention further includes:
and classifying the target classification data according to the preset source domain to obtain a source domain classification result based on the preset source domain.
And determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result, the heterogeneous classification result and the source domain classification result based on the preset source domain.
Example 2
Fig. 2 shows a data service method based on a computer system according to an embodiment of the present invention, and fig. 4 shows a data matching method according to an embodiment of the present invention as follows:
s301, acquiring the demand data information uploaded by the user.
S302, verifying whether the demand data information uploaded by the user is in compliance; if the requirement information uploaded by the user is in compliance, turning to the step S303; and if the rule is not regular, uploading a violation prompt fed back by the user with the data requirement.
S303, extracting keywords of the user uploaded demand information, matching the keywords with the constructed data interaction report, and calling related data to feed back to the corresponding client if matching is successful; and if the matching is not successful, mining related data from a plurality of data sources by using a data mining technology, storing the related data in a cloud database, and feeding back related customers.
Example 2
Fig. 2 shows a data service method based on a computer system according to an embodiment of the present invention, and fig. 5 shows a data retrieval method according to an embodiment of the present invention as follows:
s401, two identical index libraries corresponding to the basic data to be searched are constructed by the search program.
S402, when the auxiliary data which is the retrieval object is obtained, a first index base to be reconstructed is determined from at least one index base which is not currently executed with data retrieval.
S403, reconstructing the first index base according to the current retrieval object corresponding to the first index base and the auxiliary data obtained this time.
S404, when the data retrieval request is obtained, determining a second index library to be utilized from at least one index library which is not currently executed with reconstruction operation.
S405, determining a retrieval result corresponding to the data retrieval request based on the second index database and the corresponding retrieval object.
S406, determining a corresponding category database according to the keywords of the retrieval result and a preset category determination rule; searching in the first index library according to the keywords to obtain a plurality of search results respectively corresponding to the plurality of users; merging the plurality of retrieval results according to a preset merging rule; and sending the combined retrieval result to the plurality of users.
Before determining the corresponding category database according to the keyword of the search result and the predetermined category determination rule, the embodiment of the present invention further includes:
and sending a merging retrieval request to other users in the plurality of users appointed by any user according to an invitation instruction sent by any user in the plurality of users.
And when detecting that the other users receive the combined retrieval request, receiving the keywords respectively input by the any user and the other users.
Step S402 provided in the embodiment of the present invention includes: if the number of the index bases which are not subjected to data retrieval is two, randomly selecting one index base as a first index base to be reconstructed; and if the index base which is not subjected to data retrieval currently is one, taking the index base which is not subjected to data retrieval currently as the first index base to be reconstructed.
Step S404 provided in the embodiment of the present invention includes: if the number of the index libraries which are not currently subjected to the reconstruction operation is two, one index library is randomly selected as a second index library to be utilized; and if the index base which is not currently subjected to the reconstruction operation is one, taking the index base which is not currently subjected to the reconstruction operation as a second index base to be utilized.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A computer system based data services platform, the computer system based data services platform comprising:
the user information registration module is connected with the main control module and used for registering the user information through a registration program;
the user data uploading module is connected with the main control module and is used for uploading user data through an uploading program;
the data mining module is connected with the main control module and is used for mining a data source through a big data mining technology;
the data security detection module is connected with the main control module and used for detecting data security information through a security program;
the demand uploading module is connected with the main control module and is used for acquiring the data demand of the user;
the main control module is connected with the user information registration module, the user data uploading module, the data mining module, the data security detection module, the demand uploading module, the data analysis module, the data classification module, the data encryption module, the data matching module, the data retrieval module, the system updating module, the cloud storage module and the display module and is used for controlling the normal work of each module through a host;
the data analysis module is connected with the main control module and is used for carrying out data interaction, data multi-dimensional analysis, data association analysis and data calculation; meanwhile, the method is used for generating a data interaction report and an interaction chart;
the data classification module is connected with the main control module and is used for classifying the data through a classification program based on the data analysis result;
the data encryption module is connected with the main control module and used for encrypting data through an encryption program;
the data matching module is connected with the main control module and is used for matching data;
the data retrieval module is connected with the main control module and used for retrieving data information through a retrieval program;
the system updating module is connected with the main control module and used for updating the data through an updating program;
the cloud storage module is connected with the main control module and used for carrying out cloud storage on data through a cloud server;
and the display module is connected with the main control module and used for displaying user information, uploading user data, safety information, a data interaction report form, an interaction chart, classification data, a retrieval result, a matching result and updating information through a display.
2. A data service method based on a computer system applied to the data service platform based on the computer system, wherein the data service method based on the computer system comprises the following steps:
step one, registering user information through a registration program; uploading user data through an uploading program; mining a data source through a big data mining technology;
step two, detecting data security information through a security program; acquiring data requirements of a user;
performing data interaction, data multi-dimensional analysis, data association analysis and data calculation on the data which is verified to be safe; generating a data interaction report and an interaction chart at the same time;
classifying the data through a classification program based on the data analysis result; encrypting the data through an encryption program; carrying out data matching; retrieving the data information through a retrieval program; updating the data through an updating program;
step five, carrying out cloud storage on the data through a cloud server; and displaying the user information, uploading the user data, the safety information, the data interaction report, the interaction chart, the classification data, the retrieval result, the matching result and the updating information through the display.
3. The computer system-based data service method of claim 2, wherein in step four, the data classification method is as follows:
(1) dividing target classification data into a isomorphic part and a heterogeneous part by a classification program according to the feature space structure of source domain data in a preset source domain, wherein the number of the feature space structures is more than or equal to 2, the isomorphic part is the part with the same structure as the source domain data in a feature space, and the heterogeneous part is the part with a different structure from the source domain data in the feature space;
(2) classifying the isomorphic part to obtain an isomorphic classification result based on the preset source domain; classifying the heterogeneous part to obtain a heterogeneous classification result based on the preset source domain; determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result and the heterogeneous classification result based on the preset source domain;
(3) and determining a target classification result of the target classification data according to each combined classification result.
4. The computer-system-based data service method of claim 3, wherein the step (2) further comprises:
classifying the target classification data according to the preset source domain to obtain a source domain classification result based on the preset source domain;
and determining a combined classification result corresponding to the preset source domain according to the isomorphic classification result, the heterogeneous classification result and the source domain classification result based on the preset source domain.
5. The computer system-based data service method of claim 2, wherein in step four, the data matching method comprises:
the method comprises the steps of firstly, acquiring demand data information uploaded by a user;
secondly, verifying whether the demand data information uploaded by the user is in compliance; if the requirement information uploaded by the user is in compliance, turning to the third step; if the rule is not regular, uploading a violation prompt fed back by the user of the data requirement;
thirdly, extracting keywords of the user uploading demand information, matching the keywords with the constructed data interaction report, and calling related data to feed back to the corresponding client if matching is successful; and if the matching is not successful, mining related data from a plurality of data sources by using a data mining technology, storing the related data in a cloud database, and feeding back related customers.
6. The computer system-based data service method of claim 2, wherein in step four, the data retrieval method comprises:
1) constructing two identical index libraries corresponding to basic data serving as a retrieval object through a retrieval program;
2) when auxiliary data serving as a retrieval object is obtained, determining a first index base to be reconstructed from at least one index base which is not currently subjected to data retrieval;
3) reconstructing the first index base according to the current corresponding retrieval object of the first index base and the auxiliary data obtained this time;
4) when a data retrieval request is obtained, determining a second index library to be utilized from at least one index library which is not currently executed with reconstruction operation;
5) determining a retrieval result corresponding to the data retrieval request based on the second index library and the corresponding retrieval object;
6) determining a corresponding category database according to the keywords of the retrieval result and a preset category determination rule; searching in the first index library according to the keywords to obtain a plurality of search results respectively corresponding to the plurality of users; merging the plurality of retrieval results according to a preset merging rule; and sending the combined retrieval result to the plurality of users.
7. The computer-system-based data service method of claim 6, wherein before determining the corresponding category database according to the keyword of the search result and the predetermined category determination rule, further comprising:
sending a merging retrieval request to other users in the plurality of users appointed by any user according to an invitation instruction sent by any user in the plurality of users;
and when detecting that the other users receive the combined retrieval request, receiving the keywords respectively input by the any user and the other users.
8. The computer system based data service method of claim 6, wherein the step 2) comprises:
if the number of the index bases which are not subjected to data retrieval is two, randomly selecting one index base as a first index base to be reconstructed; if the index base which is not subjected to data retrieval currently is one, taking the index base which is not subjected to data retrieval currently as a first index base to be reconstructed;
the step 4) comprises the following steps:
if the number of the index libraries which are not currently subjected to the reconstruction operation is two, one index library is randomly selected as a second index library to be utilized; and if the index base which is not currently subjected to the reconstruction operation is one, taking the index base which is not currently subjected to the reconstruction operation as a second index base to be utilized.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a computer system based data service method according to any one of claims 2-9 when executed on an electronic device.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the computer-system-based data service method according to any one of claims 2 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114266554A (en) * | 2021-12-27 | 2022-04-01 | 上海齐屹信息科技有限公司 | Intelligent dynamic database management system |
| CN114266554B (en) * | 2021-12-27 | 2024-04-26 | 上海齐屹信息科技有限公司 | Intelligent dynamic database management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114266554A (en) * | 2021-12-27 | 2022-04-01 | 上海齐屹信息科技有限公司 | Intelligent dynamic database management system |
| CN114266554B (en) * | 2021-12-27 | 2024-04-26 | 上海齐屹信息科技有限公司 | Intelligent dynamic database management system |
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