CN115455304A - A method for matching supply and demand of scientific and technological achievements based on big data - Google Patents

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

A method for matching supply and demand of scientific and technological achievements based on big data

technical field

The invention relates to an automatic matching system for scientific and technological achievements, in particular to a method for matching supply and demand of scientific and technological achievements based on big data.

Background technique

At present, the wave of digitalization is in the ascendant, informationization and digitalization are intertwined and evolving, the digital economy has shown strong development resilience, and digital technology innovation has accelerated the transformation of economic and social forms and operating models. By deepening the application of digital technology in many links such as production, operation, management and marketing, the rapid development of enterprises and industries will be realized.

In the field of scientific and technological innovation, the digital transformation of scientific and technological achievements has started slowly. Due to the low matching rate of scientific and technological achievements, technology brokers cannot effectively capture suitable supply and demand data, which affects the transformation process of scientific and technological achievements, resulting in a low conversion rate of scientific and technological achievements in my country.

Contents of the invention

The purpose of the present invention is to provide a method for matching supply and demand of scientific and technological achievements based on big data,

In order to achieve the above object, the present invention provides the following technical solution: a method for matching supply and demand of scientific and technological achievements based on big data, including:

Data extraction, reading, extracting literature materials and entering them;

Processing and grouping of similar items of data, performing type identification according to the extracted literature materials entered, and automatic grouping according to the format matching of the literature materials;

Data labeling, call the keywords stored in the media library to search the full text of the document materials entered, and automatically list the matching keywords;

Data label matching, which includes common labels and characteristic labels, matches a plurality of the keywords according to the list, and uses the calculation method and weight to obtain the similarity of supply and demand matching, so as to determine the unique label.

As preferably, said data extraction includes input analysis to file material, and its processing method comprises the following steps:

S001, text analysis for keyword extraction;

S002. Generate corresponding scientific and technological achievements text information, including:

Basic information on scientific and technological achievements;

Research field of scientific and technological achievements;

Innovation level of scientific and technological achievements;

Research team situation;

Technical indicators of scientific and technological achievements;

Scientific and technological achievements trading center.

Preferably, the automatic grouping includes utility patents, invention patents, software copyrights and papers.

Preferably, the reading includes reading the patent number, reading the paper number and reading the registration number, and searching the website through the agreement to obtain the corresponding document material, and converting it into an editable word text format through the following code:

Preferably, the keywords include keywords, keywords including at least two characters and no more than five characters;

The keywords and the keywords include words and phrases extracted from the general tags and the characteristic tags and sufficiently distinguishing features.

Preferably, the general label includes basic information of technological achievements, research fields of scientific and technological achievements, innovation level of scientific and technological achievements, situation of scientific research teams, technical fields of scientific and technological achievements, and evaluation of the maturity of scientific and technological achievements;

The characteristic label includes application, production and effective extraction of scientific and technological achievements.

Preferably, the data label matching uses the similarity of supply and demand matching, and the accuracy of the matching model is judged by the similarity of supply and demand matching. The specific processing steps are as follows:

General group = the general data label of scientific and technological achievements is a collection of label data in which similar items are combined and grouped. The first group is classified as group 1, and the nth group is classified as group n;

Special group = special data tags of scientific and technological achievements are combined with similar items and grouped label data sets, the first group is classified as group A, and the nth group is classified as group N;

Common group comparison value = comparison between general group and industrial demand data, the contrast of the first group is the comparison value of group 1, and the nth group is classified as the comparison value of group n;

Contrast value of special group = contrast between feature group and industry demand data, the contrast of the first group is the comparison value of group A, and the nth group is classified as the comparison value of group N;

Approximate value 1 = comparative value of group 1 + ... + comparative value of group n;

Approximate value 2 = comparative value of group A + ... + comparative value of group N;

(approximate value 1) * weight 1 + (approximate value 2) * weight 2 = similarity of supply and demand matching.

In the above technical solution, the method for matching the supply and demand of scientific and technological achievements based on big data provided by the present invention has the following beneficial effects: effectively extract the data of scientific and technological achievements through text analysis technology and carry out labeling processing; Label the demand data; build a supply-demand matching model, comprehensively design weights, formulate grouping and same-type merging rules for matching degree identification, and give the transformation probability of scientific and technological achievements through the matching degree of supply and demand, thereby improving the transformation efficiency of scientific and technological achievements.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings that are required in the embodiments. Obviously, the accompanying drawings in the following description are only described in the present invention For some embodiments of the present invention, those skilled in the art can also obtain other drawings according to these drawings.

Fig. 1 is a schematic diagram of the analytical structure of the document material provided by the data extraction provided by the embodiment of the present invention;

Fig. 2 is a structural schematic diagram of the key data of industry demand provided by the embodiment of the present invention;

Fig. 3 is a structural schematic diagram of a panel connecting body and a pressing member provided by an embodiment of the present invention;

Fig. 4 is a schematic structural view of the plate connecting body and the pressing part provided by the embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

As shown in Figure 1-4, a method for matching supply and demand of scientific and technological achievements based on big data includes:

Data extraction, reading, extracting literature materials and entering them;

Processing and grouping of similar items of data, type identification based on the extracted literature materials entered, and automatic grouping according to the format matching of the literature materials;

Data labeling, call the keywords stored in the media library to search the full text of the entered literature materials, and automatically list the matching keywords;

Data label matching, which includes general labels and characteristic labels, matches multiple keywords according to the list, and uses calculation methods and weights to obtain the similarity of supply and demand matching to determine unique labels.

Specifically, the automatic grouping includes utility patents, invention patents, software copyrights and papers.

Furthermore, keywords include keywords, keywords including at least two characters and no more than five characters;

Keywords and keywords include words and phrases that are extracted from general tags and feature tags and are sufficiently distinguishable.

Further, the general tags in the above embodiments include the basic information of technological achievements, the research field of scientific and technological achievements, the level of innovation of scientific and technological achievements, the situation of scientific research teams, the technical fields of scientific and technological achievements, and the assessment of the maturity of scientific and technological achievements;

The characteristic label includes the application, production and effective extraction of scientific and technological achievements.

In the above-mentioned embodiments, scientific and technological achievement data is effectively extracted and tagged through text analysis technology; industrial demand data is effectively extracted and tagged through the status quo of market-oriented products; supply and demand matching models are built, comprehensive design weights are established, and grouping and similar types are formulated. The matching degree is identified by the merging rules, and the transformation probability of scientific and technological achievements is given through the matching degree of supply and demand, so as to improve the transformation efficiency of scientific and technological achievements.

As an embodiment further provided by the present invention, data extraction includes input and analysis of document materials, and its processing method includes the following steps:

S001, text analysis for keyword extraction;

S002. Generate corresponding scientific and technological achievements text information, including:

Basic information on scientific and technological achievements;

Research field of scientific and technological achievements;

Innovation level of scientific and technological achievements;

Research team situation;

Technical indicators of scientific and technological achievements;

Scientific and technological achievements trading center.

As yet another embodiment further provided by the present invention, the reading includes patent number reading, paper number reading and registration number reading, and the website is retrieved through the agreement to obtain corresponding literature materials, and converted into editable word by the following code text format:

As yet another embodiment further provided by the present invention, the data label matching adopts the similarity of supply and demand matching, and the accuracy of the matching model is judged by the similarity of supply and demand matching. The specific processing steps are as follows:

General group = the general data label of scientific and technological achievements is a collection of label data in which similar items are combined and grouped. The first group is classified as group 1, and the nth group is classified as group n;

Special group = special data tags of scientific and technological achievements are combined with similar items and grouped label data sets, the first group is classified as group A, and the nth group is classified as group N;

Common group comparison value = comparison between general group and industrial demand data, the contrast of the first group is the comparison value of group 1, and the nth group is classified as the comparison value of group n;

Contrast value of special group = contrast between feature group and industry demand data, the contrast of the first group is the comparison value of group A, and the nth group is classified as the comparison value of group N;

Approximate value 1 = comparative value of group 1 + ... + comparative value of group n;

Approximate value 2 = comparative value of group A + ... + comparative value of group N;

(approximate value 1) * weight 1 + (approximate value 2) * weight 2 = similarity of supply and demand matching.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can 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, etc.) 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 should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

In the present invention, specific examples have been applied to explain the principles and implementation methods of the present invention, and the descriptions of the above examples are only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to this The idea of the invention will have changes in the specific implementation and scope of application. To sum up, the contents of this specification should not be construed as limiting the present invention.

Embodiments of the present application also provide a specific implementation of an electronic device capable of implementing all the steps in the methods in the above embodiments, and the electronic device specifically includes the following content:

processor (processor), memory (memory), communication interface (Communications Interface) and bus;

Wherein, the processor, the memory, and the communication interface complete mutual communication through the bus;

The processor is used to call the computer program in the memory, and when the processor executes the computer program, all the steps in the methods in the above embodiments are realized. For example, when the processor executes the computer program, the following The above steps:

Data extraction interface display;

Processing and grouping of similar items of data;

Data labeling interface display;

The data label matching interface is displayed.

Embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps in the methods in the above-mentioned embodiments, and a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned All the steps of the method in the embodiment, for example, the following steps are implemented when the processor executes the computer program:

Data extraction interface display;

Processing and grouping of similar items of data;

Data labeling interface display;

Data label matching interface display

Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware+program type embodiment, because it is basically similar to the method embodiment, the description is relatively simple, and for the related parts, please refer to the part of the description of the method embodiment. Although the embodiments of this specification provide the operation steps of the method described in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive means. The sequence of steps enumerated in the embodiments is only one of the execution sequences of many steps, and does not represent the only execution sequence. When an actual device or terminal product is executed, the methods shown in the embodiments or drawings can be executed sequentially or in parallel (such as a parallel processor or multi-thread processing environment, or even a distributed data processing environment). The term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, product, or apparatus comprising a set of elements includes not only those elements, but also other elements not expressly listed elements, or also elements inherent in such a process, method, product, or apparatus. Without further limitations, it is not excluded that there are additional identical or equivalent elements in a process, method, product or device comprising said elements. For the convenience of description, when describing the above devices, functions are divided into various modules and described separately. Of course, when implementing the embodiments of this specification, the functions of each module can be realized in one or more pieces of software and/or hardware, or a module that realizes the same function can be realized by a combination of multiple submodules or subunits, etc. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms. 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 should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

Those skilled in the art should understand that the embodiments of this specification may be provided as methods, systems or computer program products. Accordingly, the 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, etc.) having computer-usable program code embodied therein. Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant parts, refer to part of the description of the method embodiment. In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structures, materials or features are included in at least one embodiment or example of the embodiments of this specification.

In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other. The foregoing descriptions are merely examples of the embodiments of the present specification, and are not intended to limit the embodiments of the present specification. For those skilled in the art, various modifications and changes may be made to the embodiments of this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the embodiments of this specification shall be included within the scope of claims of the embodiments of this 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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