CN115455304A - Method for realizing scientific and technological achievement supply and demand matching based on big data - Google Patents
Method for realizing scientific and technological achievement supply and demand matching based on big data Download PDFInfo
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- CN115455304A CN115455304A CN202211250898.9A CN202211250898A CN115455304A CN 115455304 A CN115455304 A CN 115455304A CN 202211250898 A CN202211250898 A CN 202211250898A CN 115455304 A CN115455304 A CN 115455304A
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Abstract
The invention discloses a method for realizing scientific and technological achievement supply and demand matching based on big data, which comprises the following steps: data extraction, reading, extracting and recording document materials; processing and grouping the data in the same category, identifying the type according to the recorded extracted literature materials, and automatically grouping the data according to format matching of the literature materials; labeling data, calling key words stored in a media library to perform full text search on the input document material, and automatically listing matched key words; and the data label matching comprises a general label and a characteristic label, a plurality of keyword words are matched according to the lists, and the similarity of supply and demand matching is obtained by utilizing a calculation mode and weight so as to determine a unique label. The method is based on the scientific and technological achievement conversion system to achieve building and application of a supply and demand matching model of scientific and technological achievements, improves matching degree and matching efficiency of the scientific and technological achievements in a big data mode, and promotes conversion and application of the scientific and technological achievements.
Description
Technical Field
The invention relates to a scientific and technological achievement automatic matching system, in particular to a method for realizing scientific and technological achievement supply and demand matching based on big data.
Background
At present, the digital wave is emerging, the informatization and the digital interweaving evolution are realized, the digital economy shows strong development toughness, and the digital technological innovation accelerates the change of the economic social form and the operation mode. The application of digital science and technology in various links such as production, operation, management and marketing is deepened, and the high-speed development of enterprises and industrial levels is realized.
The transformation and the starting of the digitization of the scientific and technological achievements in the field of scientific and technological innovation are slow, and the low matching rate of the scientific and technological achievements causes that a technical broker cannot effectively grab suitable supply and demand data, influences the transformation process of the scientific and technological achievements and causes the low transformation rate of the scientific and technological achievements in China.
Disclosure of Invention
The invention aims to provide a method for realizing supply and demand matching of scientific and technological achievements based on big data,
in order to achieve the above purpose, the invention provides the following technical scheme: a method for realizing scientific and technological achievement supply and demand matching based on big data comprises the following steps:
data extraction, reading, extracting and recording document materials;
processing and grouping the data in the same type, identifying the type according to the recorded extracted literature materials, and automatically grouping the data according to format matching of the literature materials;
labeling data, calling key words stored in a media library to perform full text search on the input document material, and automatically listing matched key words;
and the data label matching comprises a general label and a characteristic label, a plurality of keyword words are matched according to the lists, and the similarity of supply and demand matching is obtained by utilizing a calculation mode and weight so as to determine a unique label.
Preferably, the data extraction includes the entry analysis of the document material, and the processing mode includes the following steps:
s001, analyzing the text to extract keywords;
s002, generating corresponding scientific and technological achievement text information, including:
basic information of scientific and technological achievements;
the research field of scientific and technological achievements;
the innovation level of scientific and technological achievements;
(iv) a scientific research team situation;
technical indexes of scientific and technological achievements;
scientific and technological achievement trading center.
Preferably, the automatic grouping includes utility patents, inventive patents, software copyrights, and treatises.
Preferably, the reading includes reading a patent number, reading a paper number and reading a registration number, searching a website through an agreement to obtain the corresponding literature material, and converting the corresponding literature material into an editable word text format through the following codes:
preferably, the keyword words comprise keywords, and the keywords comprise at least two words and no more than five words;
the keywords and the keywords include words and phrases extracted from within the generic tags and the characteristic tags and sufficient to distinguish features.
Preferably, the universal label comprises basic information of technical achievements, the research field of the technical achievements, the innovation level of the technical achievements, the condition of a scientific research team, the technical field of the technical achievements and the maturity evaluation of the technical achievements;
the characteristic label comprises application, production and effective extraction of scientific and technological achievements.
Preferably, the data tag matching adopts supply and demand matching similarity, the supply and demand matching similarity is used for judging the accuracy of the matching model, and the specific processing steps are as follows:
general group = general data labels of scientific and technological achievements merge label data sets of the same kind of items and grouping, the first group is classified as group 1, and the nth group is classified as group n;
special group = special data labels of scientific and technological achievements merge label data sets of the same kind of items and grouping, the first group is classified as group a, the nth group is classified as group N;
the general group contrast value = general group to industry demand data contrast ratio, the contrast ratio of the first group is a group 1 contrast value, and the nth group is classified as a group n contrast value;
the contrast value of the special group = the contrast ratio of the characteristic group to the industrial demand data, the contrast ratio of the first group is a contrast value of a group A, and the nth group is classified as a contrast value of a group N;
approximate 1= group 1 versus value + ·... + group n versus value;
approximate 2= group a versus value + ·. · + group N versus value;
(approximation 1) weight 1+ (approximation 2) weight 2= supply-demand matching similarity.
In the technical scheme, the method for realizing supply and demand matching of scientific and technological achievements based on big data, provided by the invention, has the following beneficial effects: the scientific and technological achievement data are effectively extracted through a text analysis technology and are subjected to labeling processing; effectively extracting industrial demand data according to the current situation of marketized products and performing labeling treatment; the method comprises the steps of building a supply and demand matching model, comprehensively designing weights, formulating groups and merging rules of the same type to identify the matching degree, and giving the conversion probability of scientific and technological achievements through the supply and demand matching degree, so that the conversion efficiency of the scientific and technological achievements is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a schematic diagram of an analytic structure of a document material for data extraction according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a structure of critical data of industrial demand according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a plate connecting body and a pressing member according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a plate connecting body and a pressing member provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in fig. 1 to 4, a method for realizing scientific and technological achievement supply and demand matching based on big data includes:
data extraction, reading, extracting and recording document materials;
processing and grouping the data in the same category, identifying the type according to the input extracted document material, and automatically grouping according to the format matching of the document material;
labeling data, calling key words stored in a media library to perform full text search on the input document materials, and automatically listing matched key words;
and the data label matching comprises a general label and a characteristic label, a plurality of keyword words are matched according to the listing, and the similarity of supply and demand matching is obtained by utilizing a calculation mode and weight so as to determine a unique label.
Specifically, the automatic grouping includes a utility patent, an invention patent, a software copyright, and a thesis.
Moreover, the keyword words comprise keywords and keywords which at least comprise two words and are not more than five words;
keywords and keywords include words and phrases that are extracted from within the generic tags and the characteristic tags and that are sufficient to distinguish the features.
Further, the general label in the above embodiment includes basic information of technical achievements, a research field of technical achievements, an innovation level of the technical achievements, a situation of a scientific research team, a technical field of the technical achievements, and maturity assessment of the technical achievements;
the characteristic label comprises application, production and effective extraction of scientific and technological achievements.
In the embodiment, scientific and technological achievement data are effectively extracted through a text analysis technology and subjected to labeling processing; effectively extracting industrial demand data through the current situation of marketized products and performing labeling treatment; the method comprises the steps of building a supply and demand matching model, comprehensively designing weights, formulating groups and merging rules of the same type to identify the matching degree, and giving out the conversion probability of scientific and technological achievements through the supply and demand matching degree, so that the conversion efficiency of the scientific and technological achievements is improved.
As a further embodiment of the present invention, the data extraction includes the entry analysis of the document material, and the processing mode includes the following steps:
s001, analyzing the text to extract keywords;
s002, generating corresponding scientific and technological achievement text information, including:
basic information of scientific and technological achievements;
the research field of scientific and technological achievements;
the innovation level of scientific and technological achievements;
(iv) a scientific research team situation;
technical indexes of scientific and technological achievements;
science and technology achievement trading center.
As another embodiment further provided by the present invention, the reading includes reading a patent number, reading a thesis number, and reading a registration number, and retrieving a web address by an agreement to obtain a corresponding document material, and converting the corresponding document material into an editable word text format by the following codes:
as a further embodiment provided by the present invention, the data tag matching uses the supply and demand matching similarity, and the supply and demand matching similarity is used to determine the accuracy of the matching model, and the specific processing steps are as follows:
general group = general data labels of scientific and technological achievements merge label data sets of the same kind of items and grouping, the first group is classified as group 1, and the nth group is classified as group n;
special group = special data labels of scientific and technological achievements merge label data sets of the same kind of items and grouping, the first group is classified as group a, the nth group is classified as group N;
the general group contrast value = the contrast ratio of the general group to the industrial demand data, the contrast ratio of the first group is a group 1 contrast value, and the nth group is classified as a group n contrast value;
the contrast value of the special group = the contrast ratio of the characteristic group to the industrial demand data, the contrast ratio of the first group is a contrast value of a group A, and the nth group is classified as a contrast value of a group N;
approximate 1= group 1 versus value + ·... + group n versus value;
approximate 2= group a versus value + ·. · + group N versus value;
(approximation 1) weight 1+ (approximation 2) weight 2= supply-and-demand matching similarity.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
An embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the method in the foregoing embodiment, where the electronic device specifically includes the following contents:
a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus;
the processor is configured to call a computer program in the memory, and the processor implements all the steps of the method in the above embodiments when executing the computer program, for example, the processor implements the following steps when executing the computer program:
displaying a data extraction interface;
processing the same kind of data and grouping;
displaying a data labeling interface;
and displaying a data label matching interface.
Embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, where the computer-readable storage medium stores thereon a computer program, and the computer program when executed by a processor implements all the steps of the method in the above embodiments, for example, the processor implements the following steps when executing the computer program:
displaying a data extraction interface;
processing the same kind of data and grouping;
displaying a data labeling interface;
data tag matching interface display
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and reference may be made to part of the description of the method embodiment for relevant points. Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of sequences, and does not represent a unique order of performance. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in processes, methods, articles, or apparatus that include the recited elements is not excluded. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification.
In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (9)
1. A method for realizing scientific and technological achievement supply and demand matching based on big data is characterized by comprising the following steps:
data extraction, reading, extracting and recording document materials;
processing and grouping the data in the same category, identifying the type according to the recorded extracted literature materials, and automatically grouping the data according to format matching of the literature materials;
labeling data, calling keyword words stored in a media library to perform full text search on the input literature material, and automatically listing matched keyword words;
and matching data labels, wherein the data labels comprise general labels and characteristic labels, matching a plurality of keyword words according to the lists, and obtaining similarity of supply and demand matching by using a calculation mode and weight so as to determine a unique label.
2. The big data based scientific and technological achievement supply and demand matching method according to claim 1, wherein the data extraction comprises input analysis of file materials, and the processing mode comprises the following steps:
s001, analyzing the text to extract keywords;
s002, generating corresponding scientific and technological achievement text information, including:
basic information of scientific and technological achievements;
the research field of scientific and technological achievements;
the innovation level of scientific and technological achievements;
(iv) a scientific research team situation;
technical indexes of scientific and technological achievements;
science and technology achievement trading center.
3. The big data based achievement science and technology achievement supply and demand matching method as claimed in claim 1, wherein the automatic grouping includes practical patents, invented patents, software copyrights and treatises.
4. The method as claimed in claim 1, wherein the reading includes reading patent number, reading thesis number and registration number, and searching web address by agreement to obtain the corresponding documentation material.
5. The big data based scientific and technological achievement supply and demand matching method according to claim 1, wherein the keyword words comprise keywords, keywords comprising at least two words and no more than five words;
the keywords and the keywords include words and phrases extracted from within the generic tags and the characteristic tags and sufficient to distinguish features.
6. The big data-based scientific and technological achievement supply and demand matching method based on claim 1 is characterized in that the general labels comprise technical achievement basic information, a scientific and technological achievement research field, a scientific and technological achievement innovation level, a scientific research team situation, a scientific and technological achievement technical field and a scientific and technological achievement maturity assessment;
the characteristic label comprises application, production and effective extraction of scientific and technological achievements.
7. The method for realizing scientific and technological achievement supply and demand matching based on big data as claimed in claim 1, wherein the data label matching adopts supply and demand matching similarity, the supply and demand matching similarity is used for judging the accuracy degree of the matching model, and the specific processing steps are as follows:
general group = general data labels of scientific and technological achievements merge label data sets of the same kind of items and grouping, the first group is classified as group 1, and the nth group is classified as group n;
special group = special data label of scientific and technological achievement combines the label data set of the same kind of item and grouping, the first group is classified as group A, the nth group is classified as group N;
the general group contrast value = general group to industry demand data contrast ratio, the contrast ratio of the first group is a group 1 contrast value, and the nth group is classified as a group n contrast value;
the contrast value of the special group = the contrast ratio of the characteristic group to the industrial demand data, the contrast ratio of the first group is a contrast value of a group A, and the nth group is classified as a contrast value of a group N;
approximate 1= group 1 vs +. N vs. value;
approximate 2= group a versus value + ·. · + group N versus value;
(approximation 1) weight 1+ (approximation 2) weight 2= supply-demand matching similarity.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of implementing the method for matching supply and demand for scientific and technological achievements based on big data according to any one of claims 1 to 7 when executing the program.
9. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the big data based implementation of the method for matching scientific and technological achievements for supply and demand according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116955538A (en) * | 2023-08-16 | 2023-10-27 | 成都医星科技有限公司 | Medical dictionary data matching method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116955538A (en) * | 2023-08-16 | 2023-10-27 | 成都医星科技有限公司 | Medical dictionary data matching method and device, electronic equipment and storage medium |
| CN116955538B (en) * | 2023-08-16 | 2024-03-19 | 成都医星科技有限公司 | Medical dictionary data matching method and device, electronic equipment and storage medium |
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