CN112632235A - Supporting information matching method, matching system and storage medium - Google Patents
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Abstract
The invention discloses a supporting information matching method, a matching system and a storage medium, wherein the matching method comprises the following steps: the matching system acquires the supporting information and inputs the supporting information into the natural language processing unit; the natural language processing unit divides the supporting information into first general information and first individual information; the matching system acquires second general information and second individual information input by a user; the rule engine is used for matching the first general type information and the second general type information to match proper supporting information for the supporting object main body; matching the first personality type information and the second personality type information by the rule engine to obtain subsidy amount; the supporting information matching method provided by the invention can match proper supporting information for the supporting object main body, and can estimate the subsidy amount of the corresponding supporting information according to the related information of the supporting object, thereby saving the reading time of the supporting information of the supporting object main body and greatly reducing the reading cost and the declaration cost of the supporting object main body.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a supporting information matching method, a matching system and a storage medium.
Background
At present, various systems for collecting, reading and matching various types of intelligent supporting information of a supporting object main body exist in the market, but the systems have various defects in the aspect of aiming at user friendliness, and simple searching and classifying functions cannot meet the requirement of declaring the supporting object, namely, no complete operating system can form strong support for the supporting object main body.
It is seen that improvements and enhancements to the prior art are needed.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide the supporting information matching method, which can be used for matching proper supporting information and calculating subsidy amount so as to reduce the reading cost and the declaration cost of an enterprise.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for matching supporting information comprises the following steps:
the matching system acquires the supporting information and inputs the supporting information into the natural language processing unit;
the natural language processing unit divides the supporting information into first general information and first individual information;
the matching system acquires second general information and second individual information input by a user;
matching the first general class information and the second general class information by a rule engine in the matching system to match proper supporting information for the supporting object main body;
and the rule engine is used for matching the first personality type information with the second personality type information to obtain the subsidy amount.
In the method for matching supporting information, the rule engine matches the first personality type information with the second personality type information to obtain subsidy amount, and the method further comprises the following steps:
the matching system compares and analyzes one or more pieces of matched supporting information, and calculates the matching value of each piece of matched supporting information;
and acquiring all the matching values, and sequencing the matched one or more pieces of supporting information by combining the numerical value of the matching values and the numerical value of the subsidy money.
In the method for matching supporting information, after the one or more pieces of matched supporting information are sorted, the method further comprises the following steps:
and a display module in the matching system displays the support information according to the sequencing result.
In the method for matching the supporting information, after the matching system obtains the supporting information, the method further comprises the following steps:
and the matching system stores the acquired support information in a preset interface directory.
In the method for matching the supporting information, after the matching system obtains the second general information and the second individual information input by the user, the method further comprises the following steps:
the matching system inputs the first general class information into the rule engine to form a rule set;
the matching system inputs the first personality type information into a rules engine to form a decision tree.
In the method for matching the supporting information, after the natural language processing unit divides the supporting information into the first general information and the first individual information, the method further comprises the following steps:
the matching system matches an identification code for the supporting information processed by each natural language processing unit.
In the supporting information matching method, the first general type information includes the type of the supporting information, the requirement of the area where the supporting object main body is located, and the requirement of the basic attribute of the supporting object main body.
The present invention also provides a computer-readable storage medium, which is characterized by storing one or more programs, wherein the one or more programs can be executed by a matching system to realize the steps in the method for matching the supporting information.
The invention also correspondingly provides a matching system, which comprises:
the system comprises a support information management unit, a data processing unit and a data processing unit, wherein the support information management unit is used for acquiring support information;
the natural language processing unit is used for dividing the information of the supporting information into first general information and first individual information;
the user information management unit is used for acquiring second general information and second individual information of the user;
a rule engine for outputting the matched support information and outputting the subsidy amount;
the display unit is used for displaying the output result of the rule engine;
the supporting information management unit is connected with the natural processing unit, and the rule engine is respectively connected with the natural language processing unit, the user information management unit and the display unit.
The matching system also comprises a sorting unit, wherein the sorting unit is used for calculating the matching value of the support information output by the rule engine and sorting the support information according to the calculated matching value and the subsidy amount output by the rule engine; the input end of the sorting unit is connected with the rule engine, and the output end of the sorting unit is connected with the display unit.
Has the advantages that:
the invention provides a supporting information matching method, wherein a rule engine is matched with first general information and second general information and can match proper supporting information for a supporting object main body, the rule engine is further matched with first individual information and second individual information and can pre-estimate subsidy amount of the corresponding supporting information for the supporting object, the reading time of the supporting information of the supporting object main body is saved, the reading cost and the reporting cost of the supporting object main body are greatly reduced, and the use experience of the supporting object main body is improved.
Drawings
FIG. 1 is a logic flow diagram of a method of supporting information matching provided by the present invention;
FIG. 2 is a logic flow diagram of another embodiment of a method for matching support information provided by the present invention;
fig. 3 is a schematic structural diagram of a matching system provided in the present invention.
Description of the main element symbols: 1-support information management unit, 2-natural language processing unit, 3-user information management unit, 4-rule engine, 5-display unit and 6-sequencing unit.
Detailed Description
The invention provides a supporting information matching method, a matching system and a storage medium, and in order to make the purpose, technical scheme and effect of the invention clearer and clearer, the invention is further described in detail below by referring to the attached drawings and embodiments.
In the description of the present invention, it is to be understood that the terms "mounted," "connected," and the like are to be interpreted broadly, and those skilled in the art can understand the specific meanings of the above terms in the present invention according to specific situations.
Referring to fig. 1, the present application provides a method for matching support information, which includes the steps of:
s100, a matching system acquires support information; in one embodiment, the matching system stores the acquired support information in a preset interface directory, that is, the support information is output through a unified interface, so that a subsequent natural processing unit can read the file conveniently.
S210, the matching system inputs the supporting information into a natural language processing unit, and the natural language processing unit deciphers the supporting information through a natural language processing technology; the natural language processing techniques are capable of understanding applications or services in human language.
S220, the natural language processing unit divides the supporting information into first general information and first individual information; in one embodiment, the first general class information includes the type of the supporting information, the requirement of the region where the supporting object body is located, and the requirement of the basic attribute of the supporting object body; the types of the supporting information comprise a human subsidy type, a qualification identification type, an engineering letter type and the like; the basic attribute requirements of the main body of the support object comprise enterprise properties, the industry to which the enterprise belongs, the establishment age of the enterprise, the social security number paid by the enterprise, the sales income of the enterprise owner and the like; the non-first general information in the supporting information is the first individual information, such as a partial detailed individual subsidy requirement in the supporting information, a calculation mode of the subsidy amount, and the like.
Before the automatic extraction of the support information, the natural language processing unit needs to be learned and trained; processing historical support information, and manually dividing the support information into first general information and first individual information to form training data; marking first general information and first individual information in the supporting information according to different types of the supporting information, training and evaluating the marked data by using a deep learning model in a natural language processing unit after marking about 100 examples of the types of the different supporting information on average, wherein the natural language processing unit can be applied to an automatic extraction flow if the average accuracy reaches more than 98%, and if the average accuracy is insufficient, the marking is required to be continued for tuning and optimizing, so that the extraction accuracy of the natural language processing unit is improved.
S230, the matching system matches an identification code for the supporting information processed by each natural language processing unit; the identification code is set, so that the object body can be conveniently supported to be mapped and searched subsequently.
S300, the matching system acquires second general information and second individual information input by a user; the second general type information is basic information of the support object main body, such as an urban area where the support object main body is located, an affiliated industry, a registration date and the like; the second individual information is detailed information filled in by the main body of the support object aiming at the subsidy requirement of the support information, such as the number of staff members who pay for over three months of social security and sign over one year of labor contract and the like.
S410, matching the first general type information and the second general type information by a rule engine in the matching system to match proper supporting information for a supporting object main body; the rule engine is based on a rule matching algorithm and can perform intelligent reading, matching and measuring and calculating of the supporting information; in one embodiment, before matching the first general class information and the second general class information, the matching system inputs the first general class information into a rule engine to form a rule set; the rule set is a rule implementation manner in the rule engine, a decision set in the rule engine can comprise a plurality of common rules or loop rules, the common rules refer to a rule composed of three parts, if, then and else, the loop rules refer to circulatable rules which allow the object of a set type to be specified so as to carry out loop iteration on each object in the set type, and a loop body is composed of three parts, if, then and else, common rules; for example, the first general information is changed into a plurality of if conditions, and the enterprise can apply for the supporting information on the assumption that the plurality of if conditions are all satisfied.
S420, matching the first personality type information and the second personality type information by the rule engine to obtain subsidy amount; in one embodiment, before matching the first personality type information and the second personality type information, the matching system inputs the first personality type information into a rule engine to form a decision tree; the decision tree is another way for constructing the rules provided by the rule engine, and the rules are represented by a lying tree structure; in the rule engine, the decision tree can also be realized through a guide decision set, for the information supporting rule, the matching calculation of the information is realized through the decision tree, the method has the advantages of being more visual, quicker and easier to understand, the times of rule judgment can be reduced, and the operation efficiency of the rule engine is improved.
According to the method for matching the supporting information, the rule engine is used for matching the first general type information and the second general type information, so that proper supporting information can be matched for the supporting object main body, the rule engine is used for further matching the first individual type information and the second individual type information, the subsidy amount of the corresponding supporting information can be estimated for the supporting object, the time for reading the supporting information of the supporting object main body is saved, the reading cost and the reporting cost of the supporting object main body are greatly reduced, and the use experience of the supporting object main body is improved.
Further, referring to fig. 2, after the rule engine matches the first personality type information and the second personality type information to obtain the subsidy amount, the method further includes the steps of:
s510, the matching system compares and analyzes one or more pieces of matched supporting information, and calculates the matching value of each piece of matched supporting information;
s520, acquiring all matching values, and sorting the matched one or more pieces of supporting information by combining the numerical values of the matching values and the numerical values of subsidy money; the sorting method can be as follows: sorting from high to low according to the numerical value of a matching value, wherein the matching value is the percentage of the matching degree of the first general information and the second general information; and the supporting information with the same matching value is further sequenced according to the subsidy amount, so that the supporting object body can conveniently browse and select the proper supporting information, and the use experience of the supporting object body is improved.
Further, referring to fig. 2, after the step of sorting the matched one or more pieces of supporting information, the method further includes the steps of:
s600, a display module in the matching system displays support information according to the sorting result; the method is convenient for browsing the main body of the supporting object and for monitoring and managing the measuring and calculating conditions of the related supporting object by the back-end maintainer.
The present invention also provides a computer-readable storage medium, which is characterized by storing one or more programs, wherein the one or more programs can be executed by a matching system to realize the steps in the method for matching the supporting information.
The logic instructions in the memory may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product; the memory, which is a computer-readable storage medium, may be configured to store a software program, a computer-executable program, such as program instructions or modules corresponding to the methods in the embodiments of the present disclosure.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory. For example, a variety of media that can store program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, may also be transient storage media.
Referring to fig. 3, the present invention further provides a matching system, which can be used to perform the above-mentioned supporting information matching method, and the matching system includes:
the system comprises a support information management unit 1, a data processing unit and a data processing unit, wherein the support information management unit 1 is used for acquiring support information and outputting the acquired support information to a preset interface directory;
the natural language processing unit 2 is used for dividing the information of the supporting information into first general information and first individual information;
the user information management unit 3 is used for acquiring second general information and second individual information of the user;
the rule engine 4 is used for matching the first general information and the second general information and matching the first personality information and the second personality information, and the rule engine 4 outputs a matching result which comprises support information and subsidy amount;
the display unit 5, the said display unit 5 is used for displaying the matching result that the rule engine 4 outputs;
the support information management unit 1 is connected with the natural processing unit, and the rule engine 4 is respectively connected with the natural language processing unit 2, the user information management unit 3 and the display unit 5.
Further, referring to fig. 3, the matching system further includes a sorting unit 6, where the sorting unit 6 is configured to perform matching value calculation on the support information output by the rule engine 4, and sort the support information according to the calculated matching value and the subsidy amount output by the rule engine 4; the input end of the sorting unit 6 is connected with the rule engine 4, and the output end of the sorting unit 6 is connected with the display unit 5; the sequencing unit 6 is arranged to sequence the supporting information, so that the supporting object main body can read and select proper supporting information conveniently, and the use experience of the supporting object main body is improved.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the protective scope of the present invention.
Claims (10)
1. A method for matching supporting information is characterized by comprising the following steps:
the matching system acquires the supporting information and inputs the supporting information into the natural language processing unit;
the natural language processing unit divides the supporting information into first general information and first individual information;
the matching system acquires second general information and second individual information input by a user;
matching the first general class information and the second general class information by a rule engine in the matching system to match proper supporting information for the supporting object main body;
and the rule engine is used for matching the first personality type information with the second personality type information to obtain the subsidy amount.
2. The method for matching support information according to claim 1, wherein the rule engine matches the first personality type information with the second personality type information to obtain a subsidy amount, and further comprising the steps of:
the matching system compares and analyzes one or more pieces of matched supporting information, and calculates the matching value of each piece of matched supporting information;
and acquiring all the matching values, and sequencing the matched one or more pieces of supporting information by combining the numerical value of the matching values and the numerical value of the subsidy money.
3. The method for matching supporting information according to claim 2, wherein after the step of sorting the matched one or more pieces of supporting information, the method further comprises the steps of:
and a display module in the matching system displays the support information according to the sequencing result.
4. The method for matching supporting information according to claim 1, wherein after the matching system obtains the supporting information, the method further comprises the steps of:
and the matching system stores the acquired support information in a preset interface directory.
5. The method for matching support information according to claim 1, wherein after the matching system obtains the second general type information and the second individual type information input by the user, the method further comprises the steps of:
the matching system inputs the first general class information into the rule engine to form a rule set;
the matching system inputs the first personality type information into a rules engine to form a decision tree.
6. The method for matching supporting information according to claim 1, wherein after the natural language processing unit divides the supporting information into the first general type information and the first individual type information, the method further comprises the steps of:
the matching system matches an identification code for the supporting information processed by each natural language processing unit.
7. The method for matching supporting information according to claim 1, wherein the first general class information includes a type of supporting information, a requirement of a region where the supporting object body is located, and a requirement of basic properties of the supporting object body.
8. A computer-readable storage medium storing one or more programs, the one or more programs being executable by a matching system to implement the steps in the method of matching support information of any of claims 1-7.
9. A matching system, comprising:
the system comprises a support information management unit, a data processing unit and a data processing unit, wherein the support information management unit is used for acquiring support information;
the natural language processing unit is used for dividing the information of the supporting information into first general information and first individual information;
the user information management unit is used for acquiring second general information and second individual information of the user;
a rule engine for outputting the matched support information and outputting the subsidy amount;
the display unit is used for displaying the output result of the rule engine;
the supporting information management unit is connected with the natural processing unit, and the rule engine is respectively connected with the natural language processing unit, the user information management unit and the display unit.
10. The matching system according to claim 9, further comprising a sorting unit, wherein the sorting unit is configured to perform matching value calculation on the support information output by the rule engine, and sort the support information according to the calculated matching value and the subsidy amount output by the rule engine; the input end of the sorting unit is connected with the rule engine, and the output end of the sorting unit is connected with the display unit.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117788057A (en) * | 2024-02-27 | 2024-03-29 | 浙江恒中养老产业发展有限公司 | Patch issuing and using method and device |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101398916A (en) * | 2007-09-29 | 2009-04-01 | 上海市高新技术成果转化服务中心 | Method for constructing intelligent policy expert system |
CN105373602A (en) * | 2015-11-09 | 2016-03-02 | 宁波市软件与服务外包产业园管理服务中心 | Policy pushing management system |
US20160350788A1 (en) * | 2014-02-10 | 2016-12-01 | Nec Corporation | Matching system, matching method, and non-transitory computer readable medium storing program |
CN107944718A (en) * | 2017-11-29 | 2018-04-20 | 北京洪泰同创信息技术有限公司 | A kind of business policy assessment system and method |
CN109242326A (en) * | 2018-09-19 | 2019-01-18 | 江苏风云科技服务有限公司 | A kind of policy shared system based on big data and artificial intelligence |
CN109726393A (en) * | 2018-12-17 | 2019-05-07 | 浪潮软件集团有限公司 | A kind of policy analysis system and method based on natural language processing technique |
CN111061679A (en) * | 2019-12-16 | 2020-04-24 | 上海市研发公共服务平台管理中心 | Method and system for rapid configuration of technological innovation policy based on rete and drools rules |
CN111091347A (en) * | 2019-12-03 | 2020-05-01 | 广东政沣云计算有限公司 | Policy knowledge base rapid calculation method, system, storage medium and server |
CN111652524A (en) * | 2020-06-11 | 2020-09-11 | 中力数创(重庆)科技有限公司 | Method and device for intelligently matching policy and guiding improvement path |
-
2020
- 2020-11-03 CN CN202011210878.XA patent/CN112632235A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101398916A (en) * | 2007-09-29 | 2009-04-01 | 上海市高新技术成果转化服务中心 | Method for constructing intelligent policy expert system |
US20160350788A1 (en) * | 2014-02-10 | 2016-12-01 | Nec Corporation | Matching system, matching method, and non-transitory computer readable medium storing program |
CN105373602A (en) * | 2015-11-09 | 2016-03-02 | 宁波市软件与服务外包产业园管理服务中心 | Policy pushing management system |
CN107944718A (en) * | 2017-11-29 | 2018-04-20 | 北京洪泰同创信息技术有限公司 | A kind of business policy assessment system and method |
CN109242326A (en) * | 2018-09-19 | 2019-01-18 | 江苏风云科技服务有限公司 | A kind of policy shared system based on big data and artificial intelligence |
CN109726393A (en) * | 2018-12-17 | 2019-05-07 | 浪潮软件集团有限公司 | A kind of policy analysis system and method based on natural language processing technique |
CN111091347A (en) * | 2019-12-03 | 2020-05-01 | 广东政沣云计算有限公司 | Policy knowledge base rapid calculation method, system, storage medium and server |
CN111061679A (en) * | 2019-12-16 | 2020-04-24 | 上海市研发公共服务平台管理中心 | Method and system for rapid configuration of technological innovation policy based on rete and drools rules |
CN111652524A (en) * | 2020-06-11 | 2020-09-11 | 中力数创(重庆)科技有限公司 | Method and device for intelligently matching policy and guiding improvement path |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117788057A (en) * | 2024-02-27 | 2024-03-29 | 浙江恒中养老产业发展有限公司 | Patch issuing and using method and device |
CN117788057B (en) * | 2024-02-27 | 2024-06-11 | 浙江恒中养老产业发展有限公司 | Patch issuing and using method and device |
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