CN105631783A - Objective and quantitative Chinese patent evaluation system and method - Google Patents
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Abstract
The present invention provides an objective and quantitative Chinese patent evaluation system and method. The system comprises a patent information database, an algorithm program, and a function module. The evaluation method is reflected in an algorithm program and concretely comprises a data cleaning step of filling or removing data with depletion, unifying repeated data, and converting a field with a wrong format, a data information extraction step of extracting key time information and calculating a time interval, carrying out quantitative processing of text information such as abstract, description and the like, and extracting discrete ordered field and unordered categorical field information, and a data re-planning step of giving a new value to the extracted information. A model establishment module comprises variable selection and model optimization. A patent evaluation module comprises an IPV score, a percentage grade, a patent rating, a survival year estimation, and the rating of a patent subject. Through model computing, the intangible intellectual property assessment is quantized and objectified, the interference of human factors is eliminated, the gap of the programmed evaluation of patent is filled, and the system and the method are real and reliable.
Description
Technical field
The present invention relates to intellectual property evaluation technology, be the Chinese invention patent assessment system and method for the objective quantification of a kind of Corpus--based Method and data mining model assessment intellectual property.
Background technology
Current patent right plays vital effect in current business activity. In investment field, its person of encouraging investment enters new industry, and takes the lead in seizing market before competitor takes action. In the market competition, it can effectively protect the innovative technology of self, it is to avoid unnecessary dispute, and is lifted at competitive advantage in the industry; In strategic, patent right, to seeing clearly industry development direction and economic trend, is formulated suitable patent strategy layout and is also played an important role.
The self-value and the patent right that are patent right are all extremely important in experience and the developing derived value of company. But, the assessment of patent is more complicated and difficult, no matter the general patent assessment method of Present Domestic (is retrieval assessment, or patent price) there is artificial intervention all in various degree, due to subjective factors too much, the experience of evaluator and intuition effect obvious, its scientific rationality is more difficult to get checking. As shown in table 1, retrieval assessment, namely by patent retrieval method, relative analysis Patents also judges the gold content of patent, novelty and creativeness, the probability of meaning or patent infringement to judge research and development, is usually used in the patent action analysis etc. of patent research and development layout and lawyer. Patent valve estimating is that in patent assessment, price embodies the most intuitively, namely to realizing appraisal based on the method for intangible asset (such as income approach, cost-or-market method, market method) in accounting, to solve how much problem of patent transaction Patent value, it is common in patent (intangible asset) assessment report of accountant and assets assessment teacher, but uses three kinds of basic valuation methods all cannot accurately fix a price for patent. This patent is absorbed in the research of the patent assessment method of objective quantification, and artificial disturbance factor is less, cogency is higher for it. It is the judgement that patent is good and bad, by model construction, finds out the relation between target patent quality and internal feature and the surface index of its patent that can quantify.
Table 1
The table 1 of upper figure is patent assessment classification table.
Summary of the invention
It is an object of the invention to overcome the defect of prior art, it is provided that the Chinese invention patent assessment system and method for a kind of objective quantification, it has the characteristic of objective quantification, automatization's assessment patent quality.
The present invention is achieved in that the Chinese invention patent assessment system and method for a kind of objective quantification, comprising:
-patent information data base
-proprietary algorithms program
-functional module (includes patent retrieval, patent information displaying, patent analysis, assessment report displaying and derivation etc.)
Wherein patent assessment method embodies a concentrated reflection of in algorithm routine, comprising:
One data preprocessing module, it includes data cleansing, data message extracts, data are planned again, and data cleansing is in order to existing the Supplementing Data of disappearance or removal, repeating that data are unified, the field of format error being changed; Data message extracts in order to extract material time information and to calculate interval, and the quantification of the texts such as summary, description is processed, extracts discrete sequence field and unordered classifying type field information; Data are planned in order to again to give new value to the information extracted again, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture;
One model building module, it includes variable selection, model optimizing;
One patent assessment module, it includes IPV mark, percent levels, patent grading, the existence time limit are estimated, grading to patent main body
A kind of method that Chinese invention patent assessment system utilizing objective quantification is estimated, it comprises the following steps:
A, data prediction;
B, model are set up;
C, patent assessment.
Further, in step (a), described data prediction farther includes:
(1) data cleansing, there is Supplementing Data or the removal of disappearance, unifying repeating data, the field of format error is changed;
(2) data message extracts, and extracts material time information and calculates interval, and the quantification of summary, description text message is processed, extracts discrete sequence field and unordered classifying type field information;
(3) data are planned again, again give new value to the information extracted, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture.
Further, in step (b), described model is set up and is farther included:
(1) by patent statute, the field unrelated with assessment patent quality is rejected;
(2) select to weigh the good and bad field of patent as modeling aiming field, further object of planning field, it is more suitable for modeling demand reaching distributed architecture;
(3) selected by statistical significance and aiming field has the field of significant correlation and checks its meaning;
(4) according to statistical graph distribution has the critical field of characteristic of division modeling data is classified;
(5) by likelihood ratio index, computer is modeled the dimension-reduction treatment of front ground automatically;
(6) model parameter optimizing, modeling completes;
(7) model is disposed and is reached the standard grade.
Further, in step (c),
(1) use the model obtained that patent is chosen coarse mark;
(2) coarse mark is mapped between 0 to 200, provides IPV mark;
(3) calculate percent levels based on IPV mark, and provide patent grading;
(4) based on IPV mark, the patent existence time limit is predicted, IPV mark is formulated for several grade again, add up respectively the patent of each grade enter next continue to pay dues the cycle time survival rate and the average survival time time limit, calculate whole patent existence time limit prediction table further;
(5) system automatically generates the report of patent online evaluation, including the base attribute of patent, assessment score, star ranking and patent existence time limit prediction.
Further, in step (c), patent assessment selects multivariate regression models as assessment models, parameter optimization mode selects common method of least square, and Y=�� X+ ��, Y are dependent variable matrix, X is independent variable matrix, and �� is coefficient matrix, and �� is residual matrix. Parameter calculates, ��=(X ' X)-1(X ' Y), the transposition that X ' is X matrix.
Further, in step (c), introduce likelihood ratio and carry out dimension selection afterwards, definition:Wherein LR1 is the likelihood function without constraint equation, and T is number a little,For the variance evaluation without constraint equation; LR2 is the likelihood function of constraint equation,For the variance evaluation of Constrained equation, LR1, LR2 obey ��2Distribution, attempts the impact rejecting an independent variable to full scale equation, if impact is more than �� every time2Marginal value, it was demonstrated that rejecting this independent variable affects excessive on equation, if there being two independent variables that dependency is very strong in equation, when one disallowable, due to another existence, equation will not be produced significant impact, reach former multivariate regression models has carried out the effect that dimension selects.
Invisible intellectual property is quantified by assessment system disclosed by the invention, objectifies, eliminates the interference of anthropic factor, provides corresponding assessment result for every part, simple to operate, it is easy to be accepted by market and theoretical sturdy, exquisiteness, scope of statistics is wide, and difference is little.
Another appraisal procedure disclosed by the invention is based entirely on the objective quantification to patent build-in attribute, evaluation process by computer complete independently without manually, efficiently each patent can be provided the assessment mark of reference significance, it is based further on this assessment mark and estimates the existence time limit of patent, Patent Ratings, fill up the blank of sequencing assessment patent, truly, reliably, current trend is met.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The assessment system construction drawing that Fig. 1 provides for the embodiment of the present invention;
The flow chart that Fig. 2 provides for the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments. Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Such as Fig. 1-2, the embodiment of the present invention provides the Chinese invention patent assessment system and method for a kind of objective quantification, refers to following description.
A kind of Chinese invention patent assessment system of objective quantification, comprising: a data preprocessing module, it includes data cleansing, data message extracts, data are planned again, and data cleansing is in order to existing the Supplementing Data of disappearance or removal, repeating that data are unified, the field of format error being changed; Data message extracts in order to extract material time information and to calculate interval, the quantification of the text messages such as summary, description is processed, extracts discrete sequence field and unordered classifying type field information, certainly, it is not limited in summary listed above, description information, possibly even considers extraction information from patent accompanying drawing; Data are planned in order to again to give new value to the information extracted again, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture; One model building module, it includes variable selection, model optimizing; One patent assessment module, it includes IPV mark, percent levels, patent grading, the existence time limit are estimated, grading to patent main body.
The method that the Chinese invention patent assessment system of a kind of objective quantification is estimated, it comprises the following steps:
A, data prediction; In step (a), described data prediction farther includes:
(1) data cleansing, there is Supplementing Data or the removal of disappearance, unifying repeating data, the field of format error is changed;
(2) data message extracts, and extracts material time information and calculates interval, the quantification of the texts such as summary, description is processed, extracts discrete sequence field and unordered classifying type field information;
(3) data are planned again, again give new value to the information extracted, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture.
This process is standardized knowledge property right data loading. First, each section of patent file being standardized, the useful information of one section of patent is extracted and be formulated for multiple field, be stored in data base, each of which section patent is all a point described by the field planned above. After data loading, data are carried out first time cleaning, missing data is adopted and supplements or reject.
Then, the text of each patent field in intellectual property data storehouse and symbolic information are mapped to numerical information. Such as statistical abstract number of words, claim number etc. Again carry out data cleansing, missing data and wrong data are adopted and supplements and revise.
Furthermore, find out the quantizating index relevant to the quality of patent, such as indexs such as whether surviving in the cycle of continuing to pay dues, whether authorize, whether lawsuit wins a lawsuit. And filter out the patent data of sufficiently large sample.
B, model are set up; In step (b), described model is set up and is farther included:
(1) by patent statute, the field unrelated with assessment patent quality is rejected;
(2) select to weigh the good and bad field of patent as modeling aiming field, further object of planning field, it is more suitable for modeling demand reaching distributed architecture;
(3) selected by statistical significance and aiming field has the field of significant correlation and checks its meaning;
(4) according to statistical graph distribution has the critical field of characteristic of division modeling data is classified;
(5) by likelihood ratio index, computer is modeled the dimension-reduction treatment of front ground automatically;
(6) model parameter optimizing, modeling completes;
(7) model is disposed and is reached the standard grade.
C, patent assessment, in step (c), farther include:
(1) use the model obtained that patent is chosen coarse mark, namely in step (b), the model that described model obtains after setting up;
(2) coarse mark is mapped between 0 to 200, provides IPV mark;
(3) calculate percent levels based on IPV mark, and provide patent grading;
(4) based on IPV mark, the patent existence time limit is predicted, IPV mark is formulated for several grade again, respectively the survival rate of the patent of each grade is added up, and then calculate whole patent existence time limit prediction table;
(5) system automatically generates the report of patent online evaluation, including the base attribute of patent, assessment score, star ranking and patent existence time limit prediction.
Learning model, determine and patent survival ability significant correlation first by patent professional knowledge and descriptive statistic, and not there is the field of obvious dependency from each other, these fields are done data branch mailbox again process, data volume to ensure each grade is abundant, and the patent the average survival time year significant dependency of existence of each grade. Assume that patent assessment people is rationality and the quality only focusing on patent, the patent existence time limit that is estimated in a large number only can fluctuate in the left and right of the true time limit of surviving, and error belongs to normal distribution, in step (c), precision based on data, patent assessment selects multivariate regression models as assessment models, and parameter optimization mode selects common method of least square, Y=�� X+ ��, Y is dependent variable matrix, X is independent variable matrix, and �� is coefficient matrix, and �� is residual matrix. Parameter calculates, ��=(X ' X)-1(X ' Y), the transposition that X ' is X matrix. Introduce likelihood ratio and carry out dimension selection afterwards, definition:Wherein LR1 is the likelihood function without constraint equation, and T is number a little,For the variance evaluation without constraint equation; LR2 is the likelihood function of constraint equation,For the variance evaluation of Constrained equation, LR1, LR2 obey ��2Distribution, attempts the impact rejecting an independent variable to full scale equation, if impact is more than �� every time2Marginal value, it was demonstrated that rejecting this independent variable affects excessive on equation, if there being two independent variables that dependency is very strong in equation, when one disallowable, due to another existence, equation will not be produced significant impact, reach former multivariate regression models has carried out the effect that dimension selects.
Pass through above-mentioned steps, it is thus achieved that model. Assessment rule is deployed in assessment system, all patents are estimated marking. This model can be derived that the coarse mark of the Chinese patent correspondence existence time limit. In order to significantly more reflect the details of mark, coarse result is mapped on bigger interval. Sort with mark size, calculate the position that each patent is concentrated at whole patent data, and whole patent collection is divided into five grades, grade to each patent.
The prediction patent existence time limit. Chinese patent is an expense adjustment in every 3 years probably, and therefore the patent existence time limit was predicted with 3 years cycles. First patent is divided into thinner grade, in each grade all expire or invalidated patent in the survival ability of current period as the investigation sample estimating patent survival ability current life cycle. Enter the next one continue to pay dues the cycle time, reuse above method and estimate the survival ability of patent, the like, until Chinese patent the most long-living deposits time limit restriction. By the patent after marking is investigated: from the company man of application the status of correlative technology field, application content advance etc. in, proved this appraisal procedure can greatly probability get higher fractional to outstanding patent.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all within the spirit and principles in the present invention, any amendment of making, equivalent replacement, improvement etc., should be included within protection scope of the present invention.
Claims (7)
1. the Chinese invention patent assessment system of an objective quantification, it is characterised in that including:
Patent information data base, algorithm routine, the assessment algorithm of functional module-wherein are embodied in algorithm routine, including:
One data preprocessing module, it includes data cleansing, data message extracts, data are planned again, and data cleansing is in order to existing the Supplementing Data of disappearance or removal, repeating that data are unified, the field of format error being changed; Data message extracts in order to extract material time information and to calculate interval, and the quantification of the texts such as summary, description is processed, extracts discrete sequence field and unordered classifying type field information; Data are planned in order to again to give new value to the information extracted again, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture;
One model building module, it includes variable selection, model optimizing;
One patent assessment module, it includes IPV mark, percent levels, patent grading, the existence time limit are estimated, grading to patent main body.
2. the method that the assessment system that a kind utilizes described in claim 1 is estimated, it is characterised in that comprise the following steps:
A, data prediction;
B, model are set up;
C, patent assessment.
3. the method for assessment as claimed in claim 2, it is characterised in that: in step (a), described data prediction farther includes:
(1) data cleansing, there is Supplementing Data or the removal of disappearance, unifying repeating data, the field of format error is changed;
(2) data message extracts, and extracts material time information and calculates interval, the quantification of the texts such as summary, description is processed, extracts discrete sequence field and unordered classifying type field information;
(3) data are planned again, again give new value to the information extracted, and to reach, sample size corresponding to each value is sufficient and entirety presents certain distributed architecture.
4. the method for assessment as claimed in claim 2, it is characterised in that: in step (b), described model is set up and is farther included:
(1) by patent statute, the field unrelated with assessment patent quality is rejected;
(2) select to weigh the good and bad field of patent as modeling aiming field, further object of planning field, it is more suitable for modeling demand reaching distributed architecture;
(3) selected by statistical significance and aiming field has the field of significant correlation and checks its meaning;
(4) according to statistical graph distribution has the critical field of characteristic of division modeling data is classified;
(5) by likelihood ratio index, computer is modeled the dimension-reduction treatment of front ground automatically;
(6) model parameter optimizing, modeling completes;
(7) model is disposed and is reached the standard grade.
5. the method for assessment as claimed in claim 2, it is characterised in that: in step (c),
(1) use the model obtained that patent is chosen coarse mark;
(2) coarse mark is mapped between 0 to 200, provides IPV mark;
(3) calculate percent levels based on IPV mark, and provide patent grading;
(4) based on IPV mark, the patent existence time limit is predicted, IPV mark is formulated for several grade again, respectively the survival rate of the patent of each grade is added up, and then calculate whole patent existence time limit prediction table;
(5) system automatically generates the report of patent online evaluation, including the base attribute of patent, assessment score and patent existence time limit prediction.
6. the method for assessment as claimed in claim 2, it is characterized in that: in step (c), patent assessment selects multivariate regression models as assessment models, parameter optimization mode selects common method of least square, Y=�� X+ ��, Y are dependent variable matrix, and X is independent variable matrix, �� is coefficient matrix, and �� is residual matrix. Parameter calculates, ��=(X ' X)-1(X ' Y), the transposition that X ' is X matrix.
7. the method for assessment as claimed in claim 5, it is characterised in that: in step (c), introduce likelihood ratio and carry out dimension selection afterwards, definition:Wherein LR1 is the likelihood function without constraint equation, and T is number a little,For the variance evaluation without constraint equation; LR2 is the likelihood function of constraint equation,For the variance evaluation of Constrained equation, LR1, LR2 obey ��2Distribution, attempts the impact rejecting an independent variable to full scale equation, if impact is more than �� every time2Marginal value, it was demonstrated that rejecting this independent variable affects excessive on equation, if there being two independent variables that dependency is very strong in equation, when one disallowable, due to another existence, equation will not be produced significant impact, reach former multivariate regression models has carried out the effect that dimension selects.
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| CN111241483A (en) * | 2019-01-11 | 2020-06-05 | 深圳联合产权交易所股份有限公司 | Resource value evaluation processing method based on cloud platform and related products |
| CN111241483B (en) * | 2019-01-11 | 2020-10-30 | 深圳联合产权交易所股份有限公司 | Resource value evaluation processing method based on cloud platform and related products |
| CN113326355A (en) * | 2021-07-29 | 2021-08-31 | 湖南正宇软件技术开发有限公司 | Proposal scoring method, device, computer equipment and storage medium |
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