CN111598528A - Enterprise project comparison and review method - Google Patents
Enterprise project comparison and review method Download PDFInfo
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- CN111598528A CN111598528A CN202010318818.3A CN202010318818A CN111598528A CN 111598528 A CN111598528 A CN 111598528A CN 202010318818 A CN202010318818 A CN 202010318818A CN 111598528 A CN111598528 A CN 111598528A
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Abstract
The invention provides an enterprise project comparison and review method, which comprises the following steps: identifying and classifying enterprise patent files, identifying technical project content parts in the declaration files, and performing extraction storage; comparing the patent abstract content with the technical project content in the declaration file, and screening the correlation of the patent file through a preset threshold parameter to obtain an effective patent; comparing the content of the claims in the irrelevant patent documents with the content of the technical project in the declaration documents again, and if the comparison meets the requirements, bringing the content into the category of the effective patents; and calculating the scores of the screened effective patents according to the classification condition and the quantity of the patents to obtain the final scores of the patent contents of the enterprises.
Description
Technical Field
The invention relates to the technical field of technical literature identification and comparison, in particular to a method for comparing and reviewing enterprise projects and patent technologies in high and new enterprise declaration.
Background
The scientific and technological type enterprises in China are in a rapid development stage, a series of supporting policies are formulated in order to provide a better scientific and technological market environment and encourage the enterprises to research and develop scientific research projects with independent intellectual property rights, the policies comprise high-salary enterprise approval and the like, tax deduction and exemption can be enjoyed, fund subsidy can be enjoyed, convenient conditions are created for the development of enterprises on the market and the like, meanwhile, the scientific and technological projects with independent intellectual property rights are also the fundamental basis for attracting investors to invest in capital investment, and the intellectual property right condition description of the enterprises cannot be rarely declared for the declaration of some scientific and technological projects.
For example, in the process of identifying a high and new enterprise, intellectual property right application amount and intellectual property right operation capacity of the enterprise are often important indexes and additional items for evaluating whether the expert judges that the enterprise meets the characteristics of the high and new enterprise. Some enterprises aim to report and provide a large number of patents which are independent of their own product projects, so that the method not only disturbs the review direction of reviewers, but also disturbs the high-tech enterprise to determine the market. Besides the declaration of high-salary enterprises, some enterprises collect the capital of investors through low-quality patents 'good-order' and are a practical situation which is difficult to identify and avoid.
Disclosure of Invention
The invention aims to provide an enterprise project comparison and review method, which comprises the following steps:
step one, identifying and classifying enterprise patent files, including extracting enterprise patent files, classifying the patent files according to patent application numbers or names, and extracting the classified patent files including applicant contents, abstract contents and claim contents;
secondly, identifying the technical project content part in the declaration file, and performing extraction storage;
thirdly, comparing the patent abstract content in the first step with the technical project content in the declaration file in the second step, and screening the correlation of the patent files through preset threshold parameters to obtain effective patents;
fourthly, comparing the content of the claims in the irrelevant patent documents judged in the third step with the content of the technical project in the declaration document again, and if the comparison meets the requirements, bringing the content into the effective patent category;
and fifthly, calculating the scores of the effective patents screened in the third and fourth steps according to the patent classification conditions and the number in the first step to obtain the final scores of the patent contents of the enterprises.
The classifying of the patent documents in the first step includes classifying the patent categories and classifying the patent states.
The file identification in the first step and the file identification in the second step are specifically implemented by adopting an OCR technology, firstly inputting an image or a character by using a scanner, and carrying out binarization, noise reduction and inclination correction on the input image or character.
And the patent abstract content in the third step is high-frequency words or data parameters which are identified and extracted through a patent entry file.
The content of the claims in the patent document in the fourth step is high-frequency words or data parameters extracted through the recognition of the patent entry document.
And calculating the patent score in the fifth step, specifically, setting different basic scores according to the categories of the effective patents, multiplying and summarizing the patent quantity according to the different categories, wherein the obtained total score can be divided into two conditions, the final score is recorded by using the actual score when the total score is lower than a preset full score value, and the final score is recorded by using the preset full score value when the obtained score is larger than or equal to the preset full score value.
Also includes a copyright quantity information scoring system.
The invention has the following advantages:
1. the conformity degree of the enterprise patent and enterprise declaration file introduction conditions can be automatically identified and evaluated;
2. automatically scoring the intellectual property rights and the operation condition of the enterprises after identification and comparison;
3. greatly saving the time of evaluation experts and improving the evaluation efficiency.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a method for comparing and reviewing enterprise projects according to the present invention.
Detailed Description
As shown in fig. 1, an enterprise project comparison and review method includes the following steps:
firstly, identifying and classifying enterprise patent files, including extracting enterprise patent files, classifying the patent files according to patent application numbers or names, extracting the classified patent files including applicant contents, abstract contents and claim contents for subsequent content comparison, wherein the identification of the applicant contents can be used for judging whether the enterprise patents are independently researched or purchased so as to facilitate subsequent grading;
secondly, identifying the technical project content part in the declaration file, and performing extraction storage;
thirdly, comparing the patent abstract content in the first step with the technical project content in the file reported in the second step, and screening the correlation of the patent file through a preset threshold parameter to obtain an effective patent, wherein the preset threshold can be subjected to parameter adjustment according to specific needs, namely the effective patent can be identified when the preset threshold numerical value proportion is reached within a specified word number range;
fourthly, comparing the claim content in the irrelevant patent file judged in the third step with the technical project content in the declaration file again, carrying out secondary confirmation, and if the comparison meets the requirements, bringing the contents into the effective patent category to prevent the verification and the disclosure;
and fifthly, calculating scores of the effective patents screened in the third and fourth steps according to the classification condition and the number of the patents in the first step to obtain final scores of the patent contents of the enterprise, and performing score summarizing calculation through statistics of preset scores and the number of the patents of different classes.
The classification of the patent documents in the first step includes classification of patent categories and classification of patent states, where the classification mainly distinguishes whether a patent is an invention, an invention or an appearance, and whether an invention patent is authorized, and is prepared for making a basis for scoring a subsequent patent.
The file identification in the first step and the file identification in the second step are specifically implemented by adopting an OCR technology, firstly inputting an image or a character by using a scanner, and carrying out binarization, noise reduction and inclination correction on the input image or character.
And the patent abstract content in the third step is high-frequency words or data parameters which are identified and extracted through a patent entry file.
The content of the claims in the patent document in the fourth step is high-frequency words or data parameters extracted through the recognition of the patent entry document.
And calculating the patent score in the fifth step, specifically, setting different basic scores according to the categories of the effective patents, multiplying and summarizing the patent quantity according to the different categories, wherein the obtained total score can be divided into two conditions, the final score is recorded by using the actual score when the total score is lower than a preset full score value, and the final score is recorded by using the preset full score value when the obtained score is larger than or equal to the preset full score value.
The system also comprises a copyright number information scoring system which can manually input the copyright number of the enterprise and carry out score combination calculation with patent conditions to finally obtain the intellectual property score condition of the enterprise.
The specific comparison mode in the invention can also be that high-frequency phrases and/or phrase combinations appearing in the abstract, the claim and the specification in the patent document are sequenced from at least to a few times according to the appearance times to form a first high-frequency phrase sequencing and sequencing range; calculating the ratio of the occurrence times of the sequenced high-frequency phrases and/or phrase combinations to form a first high-frequency phrase ratio and a ratio range; sequencing high-frequency phrases and/or phrase combinations appearing in the text of the declared technical content from at least more than one according to the appearance times to form a second high-frequency phrase sequencing and sequencing range; calculating the ratio of the occurrence times of the sequenced high-frequency phrases and/or phrase combinations to form a second high-frequency phrase ratio and a ratio range; and comparing whether the second high-frequency phrase sequencing is similar to the first high-frequency phrase sequencing according to the set sequencing range and a sequencing comparison threshold, and if so, obtaining an effective patent.
The present invention is not limited to the above-described embodiments, and various modifications and changes can be made by those skilled in the art without departing from the spirit of the present invention within the scope of the claims.
Claims (7)
1. An enterprise project comparison and review method is characterized in that: comprises the following steps:
step one, identifying and classifying enterprise patent files, including extracting enterprise patent files, classifying the patent files according to patent application numbers or names, extracting and storing the classified patent files including applicant contents, abstract contents and claim contents;
secondly, identifying the technical project content part in the declaration file, and performing extraction storage;
thirdly, comparing the patent abstract content in the first step with the technical project content in the declaration file in the second step, and screening the correlation of the patent files through preset threshold parameters to obtain effective patents;
fourthly, comparing the content of the claims in the irrelevant patent documents judged in the third step with the content of the technical project in the declaration document again, and if the comparison meets the requirements, bringing the content into the effective patent category;
and fifthly, calculating the scores of the effective patents screened in the third and fourth steps according to the patent classification conditions and the number in the first step to obtain the final scores of the patent contents of the enterprises.
2. The enterprise project contrast review method of claim 1, wherein: the classifying of the patent documents in the first step includes classifying the patent categories and classifying the patent states.
3. The enterprise project contrast review method of claim 1, wherein: the file identification in the first step and the file identification in the second step are specifically implemented by adopting an OCR technology, firstly inputting an image or a character by using a scanner, and carrying out binarization, noise reduction and inclination correction on the input image or character.
4. The enterprise project contrast review method of claim 1, wherein: and the patent abstract content in the third step is high-frequency words or data parameters which are identified and extracted through a patent entry file.
5. The enterprise project contrast review method of claim 1, wherein: the content of the claims in the patent document in the fourth step is high-frequency words or data parameters extracted through the recognition of the patent entry document.
6. The enterprise project contrast review method of claim 1, wherein: and calculating the patent score in the fifth step, specifically setting different basic scores according to the categories of the effective patents, multiplying and summarizing the patent quantity according to different categories, wherein the obtained total score can be divided into two conditions, the final score is recorded by using the actual score when the total score is lower than a preset full score value, and the final score is recorded by using the preset full score value when the obtained score is larger than or equal to the preset full score value.
7. The enterprise project contrast review method of claim 1, wherein: also includes a copyright quantity information scoring system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010318818.3A CN111598528B (en) | 2020-04-21 | 2020-04-21 | Enterprise project comparison and review method |
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| CN202010318818.3A CN111598528B (en) | 2020-04-21 | 2020-04-21 | Enterprise project comparison and review method |
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| CN111598528A true CN111598528A (en) | 2020-08-28 |
| CN111598528B CN111598528B (en) | 2023-04-07 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962565A (en) * | 2021-10-26 | 2022-01-21 | 广东省技术经济研究发展中心 | Project scoring method and system based on big data and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909254A (en) * | 2017-11-03 | 2018-04-13 | 创业树（厦门）网络科技有限公司 | A kind of method that self-service declaration is assert by new high-tech enterprise |
| CN108846056A (en) * | 2018-06-01 | 2018-11-20 | 云南电网有限责任公司电力科学研究院 | A kind of scientific and technological achievement evaluation expert recommended method and device |
| CN109102197A (en) * | 2018-08-23 | 2018-12-28 | 佛山市木记信息技术有限公司 | Patent valve estimating system |
| CN111008809A (en) * | 2019-07-18 | 2020-04-14 | 宁波大学 | Scientific research project application intelligent matching pushing method based on scientific research capability data |
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2020
- 2020-04-21 CN CN202010318818.3A patent/CN111598528B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107909254A (en) * | 2017-11-03 | 2018-04-13 | 创业树（厦门）网络科技有限公司 | A kind of method that self-service declaration is assert by new high-tech enterprise |
| CN108846056A (en) * | 2018-06-01 | 2018-11-20 | 云南电网有限责任公司电力科学研究院 | A kind of scientific and technological achievement evaluation expert recommended method and device |
| CN109102197A (en) * | 2018-08-23 | 2018-12-28 | 佛山市木记信息技术有限公司 | Patent valve estimating system |
| CN111008809A (en) * | 2019-07-18 | 2020-04-14 | 宁波大学 | Scientific research project application intelligent matching pushing method based on scientific research capability data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962565A (en) * | 2021-10-26 | 2022-01-21 | 广东省技术经济研究发展中心 | Project scoring method and system based on big data and readable storage medium |
| CN113962565B (en) * | 2021-10-26 | 2024-05-21 | 广东省技术经济研究发展中心 | Item scoring method and system based on big data and readable storage medium |
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| CN111598528B (en) | 2023-04-07 |
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