CN114416959A - Scientific research result pushing and claiming method and system - Google Patents
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Abstract
The invention discloses a scientific research result pushing and claiming method and a scientific research result pushing and claiming system, which comprise the following steps: the scientific research results are pushed to scientists with highest similarity of the second preset label field information of the scientific research results, and the scientists complete the approval of the pushed scientific research results, so that the intelligent pushing and approval work is realized, the manual intervention is reduced, and the problem of huge management workload is overcome, The management cycle is long.
Description
Technical Field
The invention relates to the technical field of information, in particular to a scientific research result pushing and claiming method and system.
Background
In order to count and store scientific research academic results of scientists for a long time in a scientific research management system of a scientific research institution, the scientists are required to input published or invented academic papers, patents, standards, affirmation results and the like into the scientific research management system. However, many scientific research achievements of scientific research institutions need to be manually input by scientists or managers, so that the management workload is huge, and the management period is long.
Disclosure of Invention
Therefore, the invention aims to overcome the defects of huge management workload and long management period caused by the fact that scientific achievements need to be manually input in the prior art, and provides a pushing and claiming method and a pushing and claiming system for the scientific achievements.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides a scientific research result pushing method, including: according to the name of the scientific research institution, filtering the scientific research achievements of the scientific research institution in the achievement library; scientists and scientific research achievements in scientific research institutions are classified to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched; directly matching scientists and scientific research results which can be directly matched according to personnel information of the scientists and first preset label field information of the scientific research results; for scientists and scientific research achievements which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research achievements; for scientists and scientific achievements which can be directly matched, pushing the successfully matched scientific achievements to the corresponding scientists; and for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results.
In one embodiment, scientific achievements that have not been matched to them are stored in an unclaimed pool of public achievements.
In one embodiment, the process of creating the achievement library includes: mapping original label field information of each document with the document; and constructing a result library according to the mapping relation between the literature and the original label field information thereof.
In an embodiment, the process of classifying scientists and scientific achievements in a scientific research institution to obtain scientists and scientific achievements which cannot be directly matched and scientists and scientific achievements which can be directly matched includes: judging whether the scientific research institutions have famous scientists or not and whether the English name formats of the scientists are not unique or not; under the condition that the English name formats of the scientists with the same names and the scientists with the same names are not unique, the scientific research results of the scientists with the same names and the scientists with the same names, the English documents with the same names and the corresponding scientists with the same names and the English documents with the same names and the corresponding scientists are classified as scientists and scientific research results which cannot be directly matched; the rest of scientists and scientific achievements are classified as scientists capable of direct matching.
In an embodiment, for scientists and scientific research results capable of being directly matched, according to personnel information of the scientists and first preset label field information of the scientific research results, a process of directly matching the scientists and the scientific research results includes: for each scientist, matching with the author list of all authors of each scientific research result according to the personnel information of the scientist; when the name of a scientist is included in the author list of all authors of a scientific result, the scientist is matched with the scientific result.
In one embodiment, the representation includes a research area label and a list of collaborators, and the process of creating the representation for the scientist includes: classifying the historical scientific research achievements of scientists according to the subject field of a scientific research institution and the label vocabulary corresponding to the subject field based on a deep neural network classification method to obtain the subject field to which the historical scientific research achievements belong; obtaining research field labels of scientists according to the subject field to which the historical scientific research achievements belong, and obtaining a collaborator list of the scientists according to all authors of the historical scientific research achievements; the research domain tags and list of collaborators serve as a representation of the scientist.
In an embodiment, the second preset tag field information includes: scientific research results belong to the research field, keywords, subject words and result attribution list.
In an embodiment, the scientific research result pushing method further includes: and according to the third label field information input by the scientist, searching the scientific research results matched with the third label field information in the public result pool, and pushing the scientific research results to the scientist.
In a second aspect, an embodiment of the present invention provides a method for claiming achievements in scientific research, including: the scientific research result pushing method based on the first aspect comprises the following steps: after pushing the scientific research results to the matched scientists, judging whether receiving a claim rejection command sent by the scientists; upon receipt of the accept rejection command, the scientific results are stored in an unclaimed pool of public results.
In one embodiment, the scientific achievements claiming method further comprises: and matching the scientist with the scientific research result according to the third label field information of the scientific research result input by the scientist to finish the claiming.
In a third aspect, an embodiment of the present invention provides a scientific research result pushing system, including: the filtering module is used for filtering the scientific research achievements of the scientific research institutions in the achievement library according to the names of the scientific research institutions; the classification module is used for classifying scientists and scientific research achievements in scientific research institutions to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched; the matching module is used for directly matching scientists and scientific research achievements which can be directly matched with each other according to personnel information of the scientists and first preset label field information of the scientific research achievements; for scientists and scientific research achievements which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research achievements; the pushing module is used for pushing the scientific research achievements which are successfully matched to the scientists and the scientific research achievements which can be directly matched to the corresponding scientists; and for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results.
In a fourth aspect, an embodiment of the present invention provides a system for claiming achievements in scientific research, including: the method comprises the following steps: the judging module is used for pushing the scientific research results to the matched scientists and then judging whether receiving a claim rejection command sent by the scientists; and the storage module is used for storing the scientific research result into an unclaimed public result pool after receiving the claim rejection command.
In a fifth aspect, an embodiment of the present invention provides a computer device, including: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processor to perform the scientific research result pushing method of the first aspect and the scientific research result claiming method of the second aspect of the embodiments of the invention.
In a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause a computer to perform the scientific research result pushing method according to the first aspect and the scientific research result claiming method according to the second aspect of the present invention.
The technical scheme of the invention has the following advantages:
1. the scientific research result pushing and claiming method and system classify scientists and scientific research results of scientific research institutions to obtain scientists and scientific research results which cannot be directly matched and scientists and scientific research results which can be directly matched, for scientists and scientific research results which can be directly matched, according to personnel information of the scientists and first preset label field information of the scientific research results, the scientists and the scientific research results are directly matched, the successfully matched scientific research results are pushed to the corresponding scientists, for scientists and scientific research results which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research results, the scientific research results are pushed to scientists who have images with the highest similarity with second preset label field information of the scientific research results, and each scientist finishes claiming the pushed scientific research results, therefore, intelligent pushing and claiming work is realized, manual intervention is reduced, and the defects of huge management workload and long management period are overcome.
2. According to the scientific research result pushing and claiming method and system, in the process of result matching and pushing, similarity matching is performed according to images of scientists, keywords, subject terms, result affiliation lists and the like of scientific research results aiming at the condition that the scientists have names of multiple names or the author names in English documents, the scientific research results are pushed to the scientific researchers with the highest similarity, and manual intervention is reduced. In the process that the scientific research result data is continuously rich, the formed scientific research portrait is more perfect and accurate, and therefore the matching accuracy of the similarity is continuously improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a scientific research result pushing method according to an embodiment of the present invention;
fig. 2 is a flowchart of another specific example of a scientific research result pushing method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an example of a method for claiming achievements in scientific research according to an embodiment of the present invention;
fig. 4 is a configuration diagram of a specific example of a scientific research result pushing system according to an embodiment of the present invention;
FIG. 5 is a block diagram showing an embodiment of a system for claiming achievements in scientific research according to the present invention;
fig. 6 is a composition diagram of a specific example of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment of the invention provides a scientific research result pushing method, as shown in fig. 1, comprising the following steps:
step S11: and filtering the scientific research achievements of the scientific research institutions in the achievement library according to the names of the scientific research institutions.
Specifically, the establishment of the achievement base of the embodiment of the present invention may be implemented by the following method: mapping original label field information of each document with the document; and constructing a result library according to the mapping relation between the documents and the original label field information of the documents, wherein each document can be purchased from each organization or a document which is already claimed by scientists, and the like, and is not limited herein.
The original tag field information of each document may be information recorded by an original organization, taking a chinese thesis as an example, the original tag field information may include a "unique thesis mark", "a first author", "a communication author", "a first completion unit", "a unit affiliated to chinese agricultural academy of sciences", "a thesis name", "an english name", "all authors", "national unified publication number", "an original organization", "a unique digital object identifier", "a document type", "a chinese keyword", "an english keyword", "a chinese abstract", "an english abstract", "a journal type", "a standard international publication number", "a publishing company", "a journal name", "a publication year", "a start page", "an end page", and the like, which are only examples and are not limited thereto.
Step S12: scientists and scientific research achievements in scientific research institutions are classified to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched.
Because of the large number of scientists in research institutes, there may be well-known scientists, such as: taking the name "wangzhiqiang" as an example, when there is a name with a strong name in the scientific research institute, it is impossible to accurately identify and push the corresponding scientific research result according to the name of the scientist, and in addition, because the format of the english name of the author required by each english journal is different, the english name of the name of a scientist is diversified, for example: taking the name "strong shikoning" as an example, the english name of strong shikoning may have various situations such as "wang zhijiang", "wang, zhijiang", "wang zhi-qiang", "wang, zhi-qiang", "wang z.q", "wang.z.q", "wang, zq", etc., so that it is difficult to accurately match the english academic paper to the corresponding scientist according to the name of the author.
Specifically, the process of classifying scientists and scientific achievements may include: judging whether the scientific research institutions have famous scientists or not and whether the English name formats of the scientists are not unique or not; under the condition that the English name formats of the scientists with the same names and the scientists with the same names are not unique, the scientific research results of the scientists with the same names and the scientists with the same names, the English documents with the same names and the corresponding scientists with the same names and the English documents with the same names and the corresponding scientists are classified as scientists and scientific research results which cannot be directly matched; the rest of scientists and scientific achievements are classified as scientists capable of direct matching.
Step S13: directly matching scientists and scientific research results which can be directly matched according to personnel information of the scientists and first preset label field information of the scientific research results; and for scientists and scientific research results which cannot be directly matched, similarity matching is carried out on the images of the scientists and second preset label field information of the scientific research results.
Specifically, to scientist and the scientific research achievement that can directly match, according to scientist's personnel information and scientific research achievement's first preset label field information, with the process that scientist and scientific research achievement directly match, include: for each scientist, matching with the author list of all authors of each scientific research result according to the personnel information of the scientist; and matching the scientific research result with the scientist when the name of the scientist is contained in the author list of all authors of the scientific research result, wherein the first preset label field information is the author list of all authors.
Specifically, each document in the achievement repository (i.e., the scientific achievements) has original tag field information that includes a list of authors for all authors, such as: the full author list of the a document includes: wangqiang and zhangwei are used to match the scientific king strength, and the article A is directly matched with the scientific king strength.
And for scientists and scientific research achievements which can not be directly matched, similarity matching is carried out according to portrait of the scientists and second preset label field information of the scientific research achievements, portrait includes but is not limited to research field labels and a partner list, and the second preset label field information includes: scientific research results belong to the research field, keywords, subject words and results affiliation list, wherein, as shown in fig. 2, the image establishing process of scientists comprises the following steps:
step S21: and classifying the historical scientific research results of the scientists according to the subject field of the scientific research institution and the label vocabulary corresponding to the subject field based on a deep neural network classification method to obtain the subject field to which the historical scientific research results belong.
Step S22: and obtaining research field labels of scientists according to the subject field to which the historical scientific research achievements belong, and obtaining a co-worker list of the scientists according to all authors of the historical scientific research achievements.
Step S23: the research domain tags and list of collaborators serve as a representation of the scientist.
Specifically, the representations of scientists of the embodiment of the present invention mainly include: the research field labels and the collaborator list can be obtained by matching the subject fields of the scientific research institutions and the historical scientific research achievements of scientists, for example: taking the academy of agricultural sciences of china as an example, based on 57 subject fields contained in 9 subject clusters, the vocabulary of the subject fields mainly includes: 57 field vocabularies such as crop germplasm resources, crop genetic breeding, crop cultivation and cultivation, animal genetic breeding, animal nutrition and feed, grass science, agricultural product processing, agricultural product quality safety and control, food nutrition and health, agricultural intelligence, intelligent agriculture, regional economy and policy, rural development and policy and the like. The classification method based on the deep neural network extracts text features of each historical scientific research result of a scientist, maps the historical scientific research results to subject fields matched with the historical scientific research results in 57 subject fields to obtain the subject fields to which the historical scientific research results belong, and obtains a co-worker list of the scientists according to all authors of the historical scientific research results.
It should be noted that the classification method of the deep neural network is a mature classification method in the prior art, and is not described herein again.
Step S14: for scientists and scientific achievements which can be directly matched, pushing the successfully matched scientific achievements to the corresponding scientists; and for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results.
Specifically, even if the pushing method is used, there are scientific achievements that are not matched with the scientists, and the scientific achievements that are not matched with the scientific achievements are stored in an unclaimed public achievement pool, and the scientists can search the scientific achievements in the public achievement pool by themselves, for example: according to the third label field information input by the scientist, searching the scientific research results matched with the third label field information in the public result pool, and pushing the scientific research results to the scientist, wherein the third label field information can be: the name of the scientist, the name of the collaborator, the name of the scientific research result, the keyword, etc., without limitation.
Example 2
The embodiment of the invention provides a method for claiming scientific research achievements, which comprises the following steps: based on the scientific research result pushing method of embodiment 1, as shown in fig. 3, the claiming method includes:
step S31: after the scientific research result is pushed to the matched scientists, whether a claim rejection command sent by the scientists is received or not is judged.
Step S32: upon receipt of the accept rejection command, the scientific results are stored in an unclaimed pool of public results.
Specifically, based on the pushing method in embodiment 1, the matched scientific research results are pushed to the use terminal of the scientist, after the scientist confirms that the scientific research results are own, the "confirm claim" button of the terminal can be clicked, or the "reject claim" button of the terminal is clicked if the scientific research results are not own, and when a reject claim command is received, the scientific research results are stored in an unclassified public result pool.
In one embodiment, the scientific research result claiming method further comprises: and matching the scientist with the scientific research result according to the third label field information of the scientific research result input by the scientist to finish the claiming, for example: according to the third label field information input by the scientist, searching the scientific research results matched with the third label field information in the public result pool, and pushing the scientific research results to the scientist, wherein the third label field information can be: the name of the scientist, the name of the collaborator, the name of the scientific research result, the keyword, etc., without limitation.
Example 3
The embodiment of the invention provides a scientific research result pushing system, as shown in fig. 4, comprising:
the filtering module 1 is used for filtering the scientific research achievements of the scientific research institutions in the achievement library according to the names of the scientific research institutions; this module executes the method described in step S11 in embodiment 1, and is not described herein again.
The classification module 2 is used for classifying scientists and scientific research achievements in scientific research institutions to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched; this module executes the method described in step S12 in embodiment 1, and is not described herein again.
The matching module 3 is used for directly matching scientists and scientific research achievements which can be directly matched with each other according to personnel information of the scientists and first preset label field information of the scientific research achievements; for scientists and scientific research achievements which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research achievements; this module executes the method described in step S13 in embodiment 1, and is not described herein again.
The pushing module 4 is used for pushing the scientific research achievements which are successfully matched to the scientists and the scientific research achievements which can be directly matched to the corresponding scientists; for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results; this module executes the method described in step S14 in embodiment 1, and is not described herein again.
Example 4
An embodiment of the present invention provides a system for claiming achievements in scientific research, as shown in fig. 5, including:
the judging module is used for pushing the scientific research results to the matched scientists and then judging whether receiving a claim rejection command sent by the scientists; this module executes the method described in step S31 in embodiment 2, and is not described herein again.
The storage module is used for storing the scientific research result into an unclaimed public result pool after receiving the claim rejection command; this module executes the method described in step S32 in embodiment 2, and is not described herein again.
Example 5
An embodiment of the present invention provides a computer device, as shown in fig. 6, including: at least one processor 401, such as a CPU (Central Processing Unit), at least one communication interface 403, memory 404, and at least one communication bus 402. Wherein a communication bus 402 is used to enable connective communication between these components. The communication interface 403 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a standard wireless interface. The Memory 404 may be a RAM (random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 404 may optionally be at least one memory device located remotely from the processor 401. The processor 401 may execute the scientific research result pushing method of embodiment 1 and the scientific research result claiming method of embodiment 1. A set of program codes is stored in the memory 404, and the processor 401 calls the program codes stored in the memory 404 for executing the scientific research result pushing method of embodiment 1 and the scientific research result claiming method of embodiment 1.
The communication bus 402 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in FIG. 6, but it is not intended that there be only one bus or one type of bus.
The memory 404 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 404 may also comprise a combination of memories of the kind described above.
The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 404 is also used to store program instructions. The processor 401 may call the program instruction to implement the scientific research result pushing method according to embodiment 1 and the scientific research result claiming method according to embodiment 1.
The embodiment of the invention also provides a computer-readable storage medium, wherein computer-executable instructions are stored on the computer-readable storage medium, and the computer-executable instructions can execute the scientific research result pushing method in the embodiment 1 and the scientific research result claiming method in the embodiment 1. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid-State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (14)
1. A scientific research result pushing method is characterized by comprising the following steps:
according to the name of the scientific research institution, filtering the scientific research achievements of the scientific research institution in the achievement library;
classifying scientists and scientific research achievements of the scientific research institutions to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched;
directly matching scientists and scientific research results which can be directly matched according to personnel information of the scientists and first preset label field information of the scientific research results; for scientists and scientific research achievements which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research achievements;
for scientists and scientific achievements which can be directly matched, pushing the successfully matched scientific achievements to the corresponding scientists; and for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results.
2. The scientific research result pushing method according to claim 1,
storing the scientific achievements which are not matched with the public achievements into an unclassified public achievements pool.
3. The scientific research result pushing method according to claim 1, wherein the establishment of the result library comprises:
mapping original label field information of each document with the document;
and constructing a result library according to the mapping relation between the literature and the original label field information thereof.
4. The method as claimed in claim 1, wherein the step of classifying the scientists and the scientific achievements in the scientific research institutions to obtain the scientists and the scientific achievements which cannot be directly matched and the scientists and the scientific achievements which can be directly matched comprises:
judging whether the scientific research institutions have famous scientists or not and whether English name formats of the scientists are not unique or not;
under the condition that the English name formats of the scientists with the same names and the scientists with the same names are not unique, the scientific research results of the scientists with the same names and the scientists with the same names, the English documents with the same names and the corresponding scientists with the same names and the English documents with the same names and the corresponding scientists are classified as scientists and scientific research results which cannot be directly matched; the rest of scientists and scientific achievements are classified as scientists capable of direct matching.
5. The method as claimed in claim 1, wherein for scientists and achievements capable of being directly matched, the process of directly matching the scientists and the achievements according to personnel information of the scientists and first preset tag field information of the achievements comprises:
for each scientist, matching with the author list of all authors of each scientific research result according to the personnel information of the scientist;
when the name of a scientist is included in the author list of all authors of a scientific result, the scientist is matched with the scientific result.
6. The method of claim 4, wherein the representation includes a research area label and a list of collaborators, and the representation creation process of the scientist includes:
classifying the historical scientific research results of scientists according to the subject field of the scientific research institution and the label vocabulary corresponding to the subject field based on a deep neural network classification method to obtain the subject field of the historical scientific research results;
obtaining research field labels of scientists according to the subject field to which the historical scientific research achievements belong, and obtaining a collaborator list of the scientists according to all authors of the historical scientific research achievements;
the research domain tags and list of collaborators serve as a representation of the scientist.
7. The method of pushing research results according to claim 6, wherein the second preset tag field information includes: scientific research results belong to the research field, keywords, subject words and result attribution list.
8. The scientific research result pushing method according to claim 1, further comprising:
and according to the third label field information input by the scientist, searching the scientific research results matched with the third label field information in the public result pool, and pushing the scientific research results to the scientist.
9. A method of achievements in scientific research claim, comprising: the scientific research result pushing method based on any one of claims 1 to 7, wherein the claiming method comprises the following steps:
after pushing the scientific research results to the matched scientists, judging whether receiving a claim rejection command sent by the scientists;
upon receipt of the accept rejection command, the scientific results are stored in an unclaimed pool of public results.
10. A achievements scientific research claim method as claimed in claim 8, further comprising:
and matching the scientist with the scientific research result according to the third label field information of the scientific research result input by the scientist to finish the claiming.
11. A scientific research result pushing system, comprising:
the filtering module is used for filtering the scientific research achievements of the scientific research institutions in the achievement library according to the names of the scientific research institutions;
the classification module is used for classifying scientists and scientific research achievements of the scientific research institutions to obtain scientists and scientific research achievements which cannot be directly matched and scientists and scientific research achievements which can be directly matched;
the matching module is used for directly matching scientists and scientific research achievements which can be directly matched with each other according to personnel information of the scientists and first preset label field information of the scientific research achievements; for scientists and scientific research achievements which cannot be directly matched, similarity matching is carried out on images of the scientists and second preset label field information of the scientific research achievements;
the pushing module is used for pushing the scientific research achievements which are successfully matched to the scientists and the scientific research achievements which can be directly matched to the corresponding scientists; and for scientists and scientific research results which cannot be directly matched, pushing the scientific research results to scientists giving pictures with the highest similarity to second preset label field information of the scientific research results.
12. A achievements-in-scientific claim system, comprising: the method comprises the following steps:
the judging module is used for pushing the scientific research results to the matched scientists and then judging whether receiving a claim rejection command sent by the scientists;
and the storage module is used for storing the scientific research result into an unclaimed public result pool after receiving the claim rejection command.
13. A computer device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the scientific research pushing method of any of claims 1-8 and the scientific research claiming method of any of claims 9-10.
14. A computer-readable storage medium storing computer instructions for causing a computer to execute the scientific research result pushing method according to any one of claims 1 to 8 and the scientific research result claiming method according to any one of claims 9 to 10.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117435648A (en) * | 2023-12-22 | 2024-01-23 | 杭州青塔科技有限公司 | Method, device, equipment and storage medium for associating college teacher with scientific research result |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080288324A1 (en) * | 2005-08-31 | 2008-11-20 | Marek Graczynski | Computer system and method for evaluating scientific institutions, professional staff and work products |
| CN110633365A (en) * | 2019-07-25 | 2019-12-31 | 北京国信利斯特科技有限公司 | Word vector-based hierarchical multi-label text classification method and system |
| CN111078862A (en) * | 2019-12-06 | 2020-04-28 | 武汉理工大学 | Active pushing method and device for scientific and technological achievements of colleges and universities |
| CN112418695A (en) * | 2020-11-27 | 2021-02-26 | 中国烟草总公司郑州烟草研究院 | Multi-dimensional portrait construction method and recommendation method for scientific researchers in tobacco field |
| CN113160016A (en) * | 2021-05-27 | 2021-07-23 | 南通大学 | Scientific research thesis management method and system based on artificial intelligence |
-
2021
- 2021-12-01 CN CN202111453449.XA patent/CN114416959B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080288324A1 (en) * | 2005-08-31 | 2008-11-20 | Marek Graczynski | Computer system and method for evaluating scientific institutions, professional staff and work products |
| CN110633365A (en) * | 2019-07-25 | 2019-12-31 | 北京国信利斯特科技有限公司 | Word vector-based hierarchical multi-label text classification method and system |
| CN111078862A (en) * | 2019-12-06 | 2020-04-28 | 武汉理工大学 | Active pushing method and device for scientific and technological achievements of colleges and universities |
| CN112418695A (en) * | 2020-11-27 | 2021-02-26 | 中国烟草总公司郑州烟草研究院 | Multi-dimensional portrait construction method and recommendation method for scientific researchers in tobacco field |
| CN113160016A (en) * | 2021-05-27 | 2021-07-23 | 南通大学 | Scientific research thesis management method and system based on artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| 孙媛;张洁;仲跻亮;寇远涛;: "农业科研系统机构知识库联盟平台建设实践", 图书馆学研究, no. 21, 15 November 2019 (2019-11-15) * |
| 顾亮亮;赵瑞雪;鲜国建;寇远涛;朱亮;杨洪磊;王德川;: "中国农业科学院科研实力探析", 农业展望, no. 04, 28 April 2016 (2016-04-28) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117435648A (en) * | 2023-12-22 | 2024-01-23 | 杭州青塔科技有限公司 | Method, device, equipment and storage medium for associating college teacher with scientific research result |
| CN117435648B (en) * | 2023-12-22 | 2024-04-19 | 杭州青塔科技有限公司 | Method, device, equipment and storage medium for associating college teacher with scientific research result |
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