WO2019028616A1

WO2019028616A1 - Trademark application system based on big data and artificial intelligence

Info

Publication number: WO2019028616A1
Application number: PCT/CN2017/096282
Authority: WO
Inventors: 万忠凯
Original assignee: 深圳益强信息科技有限公司
Priority date: 2017-08-07
Filing date: 2017-08-07
Publication date: 2019-02-14

Abstract

A trademark application system based on big data and artificial intelligence, comprising: an input module, used for inputting basic information of a trademark to be applied, the basic information of the trademark to be applied being a trademark name and design element series data of the trademark to be applied; a database, used for obtaining information from the database according to graphs and words extracted from the trademark to be applied, and determining whether the same previously registered trademark or an applying trademark is available in the same subcategory; a big data determining module, used for carrying out similarity determining of a commodity and a service item of the trademark and identical approximate determining of a word trademark; an artificial intelligence module, used for determining the identity or similarity of a graphic trademark; and an output module, used for outputting a final trademark application analysis report of the trademark to be applied.

Description

System for trademark application based on big data and artificial intelligence

[Technical Field]

The invention relates to a system for trademark application, in particular to a system for trademark application based on big data and artificial intelligence.

【Background technique】

In the increasingly fierce market competition, the value of trademarks is increasingly reflected. Enterprises with high-value trademarks, and the sooner companies have high-value patents, mean the possession of the market and affect consumers' consumption habits.

Due to the long period of trademark application and the uncertain factors, the company expects to improve the accuracy of trademark application. However, when the traditional trademark is applied, the judgment is still artificial, and there is not only a problem of incomplete retrieval. Moreover, there are too many subjective factors, that is, subjectiveness, which makes it impossible to objectively and comprehensively evaluate and analyze the applied trademarks.

Therefore, it is necessary to design a good method and system for trademark application based on big data and artificial intelligence to overcome the above problems.

[Summary of the Invention]

In view of the problems faced by the background art, an object of the present invention is to provide a system for applying for a trademark application based on big data and artificial intelligence by analyzing a trademark applied for by using a big data algorithm to achieve objective results.

In order to achieve the above object, the present invention adopts the following technical means:

A system for trademark application based on big data and artificial intelligence, comprising:

The input module inputs the basic information of the trademark to be applied for, and the basic information of the trademark to be applied for is the trademark name and design element series of the trademark to be applied for;

The database obtains information from the database according to the drawing of the graphic and text of the trademark to be applied for, and determines whether it is in the same The subcategories have the same previously registered trademark or the trademark being applied for;

The big data judgment module, according to the text and graphics of the trademark to be applied, has the same previously registered trademark or the trademark being applied in the same sub-category, and the prior-registered trademark is judged by the big data judgment module. Or whether the trademark being applied for is valid, if it is valid, it is judged whether it is similar to the commodity. If it is approximate, it gives a suggestion that the possibility of successful application is low and generates a report. If it is not approximate, it gives a high possibility of successful application. It is recommended to generate a report, and the judgment of the non-approximation is judged by the big data module. If it is invalid, it is judged whether the predetermined time is exceeded. If it is exceeded, the proposal with low possibility of successful application is given and a report is generated. If not, Then give a proposal for a high probability of successful application and generate a report. According to the text of the trademark to be applied, if there is no identical previously registered trademark or trademark in the same subcategory, the trademark to be applied and the prior trademark are judged. Whether the registered trademark or the trademark being applied for is similar, the big data module is judged by: according to the grammar rules, each Classification rules, according to the judgment review historical data, the results of all classification rules weighted, the weighted value may be adjusted according to the preferences of the applicant's risk in a predetermined manner;

The artificial intelligence module, based on the graphic of the trademark to be applied, does not have the same previously registered trademark or the trademark being applied in the same sub-category, and determines the trademark to be applied for and the previously registered trademark or the trademark being applied for. Whether the approximation is judged by the artificial intelligence module, the judging method of the artificial intelligence module is: first inputting the graphic, and then analyzing the basic constituent elements, wherein the elements are based on the graphic elements of the trademark, and each is analyzed. The basic element composition plan is judged according to the historical review data, and the results of all the classification rules are weighted and calculated according to a certain manner, and the weighted value can be adjusted according to the risk preference of the applicant;

The output module outputs the final trademark application analysis report of the trademark to be applied for.

Further, according to the graphic of the trademark to be applied, it is judged based on whether the image coincidence degree exceeds a predetermined value, whether the same small class has the same previously registered trademark or the trademark being applied for.

Further, the determination of the image coincidence degree includes judging by the coincidence of any angular rotation.

Further, the same judgment is judged in accordance with the provisions of the Trademark Law, the Implementation Rules, and the Examination Guide.

Further, according to the big data judging module, judging the value of the trademark to be applied, establishing dimensions including the infringement trial, the transaction amount of the same or similar category trademark, the authorization time, the total number of trademarks of the category, and the rejection rate are related to the transaction amount. Each variable is given a certain weight, and then weighted to obtain the basic value; for each variable irrelevant to the transaction amount, the weighting is formed by a factor of 1 which is greater than 1, and the number of similar trademarks is formed by a factor of less than 1 and the value of the trademark to be applied is equal to the basic value. * Factor 1 * Factor 2.

Further, the establishing dimension further includes the number of listed companies in the industry and the profitability of listed companies in the industry.

Further, the establishing dimension further includes the number and rate of registered companies in the industry, the number and rate of e-commerce.

Further, the infringement trial is to extract the previously registered trademark of the commodity involving the infringement dispute or the category, city, country or region of the trademark being applied for; the previously registered trademark involved in the infringement dispute or is in the process of applying The trademark disputes the amount of money and the parties to the dispute.

Further, the weights can be dynamically adjusted, and the weights can be adjusted for emerging industries. The emerging industry has three criteria: the first is the number of companies registered in the field, the second is the number of companies financing in the field, and the third is Number of company registrations and financing in this area.

Compared with the prior art, the present invention has the following beneficial effects:

In the above system for trademark application based on big data and artificial intelligence, the OCR technology is used to judge the characters and graphics of the applied trademark, and the OCR technology is an optical character recognition (Optical Character Recognition), which is an optical input method such as scanning. The texts of various bills, newspapers, books, manuscripts and other printed materials are converted into image information, and then the image information is transformed into computer input technology that can be used by using text recognition technology. The technology is mature and the results of analysis and judgment are guaranteed.

First, extract the graphic of the trademark to be applied, determine whether there is the same previously registered trademark or the trademark being applied in the same sub-category, and secondly extract the text of the trademark to be applied to determine whether the same sub-category has the same prior The registered trademark or the trademark being applied for is analyzed and judged by the big data module and the artificial intelligence module, and the final trademark application analysis report of the trademark to be applied for is output, so that the final value evaluation report of the trademark to be applied is output, and the result reflects the market economic value. It has a high reference value, and the result is more reference value, and the system automatically collects and compares, saves a lot of manpower, and facilitates subsequent monitoring of similar trademarks.

[Description of the Drawings]

1 is a general structural diagram of a system for applying for a trademark based on big data and artificial intelligence according to the present invention.

【Detailed ways】

The present invention will be further described in conjunction with the drawings and specific embodiments in order to provide a better understanding of the purpose of the invention.

Referring to FIG. 1, a system for trademark application based on big data and artificial intelligence includes:

The input module records the basic information of the trademark to be applied for. The basic information of the trademark to be applied for is the trademark name and design element series of the trademark to be applied for; the design element series includes the content of the text, the information to be highlighted in the pattern, and the color. , style, etc.

The database obtains information from the database according to the drawing of the graphic and text of the trademark to be applied for, and determines whether the same previously registered trademark or the trademark being applied in the same subclass;

The OCR technology is used to judge the characters and graphics of the applied trademarks. The OCR technology is an optical character recognition (Optical Character Recognition), which is a text input by various optical instruments such as scanning, newspapers, books, manuscripts and other printed materials. Convert to image information and then use image recognition technology to convert image information into The computer input technology that can be used is mature and provides guarantees for the results of analysis and judgment. For example, the information of the previously registered trademark or the trademark being applied for can be scanned to obtain useful information.

The big data judgment module, according to the text and graphics of the trademark to be applied, has the same previously registered trademark or the trademark being applied in the same sub-category, and the prior-registered trademark is judged by the big data judgment module. Or whether the trademark being applied for is valid, if it is valid, it is judged whether it is similar to the commodity. If it is approximate, it gives a suggestion that the possibility of successful application is low and generates a report. If it is not approximate, it gives a high possibility of successful application. It is recommended to generate a report, and the judgment of the non-approximation is judged by the big data module. If it is invalid, it is judged whether the predetermined time is exceeded. If it is exceeded, the proposal with low possibility of successful application is given and a report is generated. If not, Then give a proposal for a high probability of successful application and generate a report. According to the text of the trademark to be applied, if there is no identical previously registered trademark or trademark in the same subcategory, the trademark to be applied and the prior trademark are judged. Whether the registered trademark or the trademark being applied for is similar, the big data module is judged by: according to the grammar rules, each The class rule is judged according to the historical review data, and the results of all the classification rules are weighted according to a predetermined manner, and the weighted value can be adjusted according to the risk preference of the applicant; if it is invalid, it is judged whether the predetermined time is exceeded, if it exceeds , giving a recommendation that the possibility of successful application is low and generating a report. If it is not exceeded, it gives a suggestion that the application is highly likely to be successful and generates a report. For example, the predetermined value of the image coincidence degree is set to 60%, if the image coincidence degree If the value is 80%, then the predetermined value is exceeded. This gives a recommendation that the probability of successful application is low and generates a report. If the value of the image coincidence degree is 40%, then the predetermined value is not exceeded. Apply for a high probability of success and generate a report. The determination of the image coincidence includes judging by the coincidence of any angular rotation. For example, one of the previously registered trademarks or the trademark being applied is vertically placed, and the pattern in the trademark to be evaluated is inclined by 30 degrees. If the angle is placed, then the judgment of the image coincides with the rotation angle. If the image is coincident after 30 degrees of rotation, if the value of the image coincidence value exceeds 60% of the predetermined value, the recommendation that the application success probability is low will be given. Generate a report. Conversely, if the predetermined value is not exceeded, a proposal with a high probability of successful application is generated and a report is generated. This breaks through the difficulty of the graphic to be evaluated, and no omission, risk factor low.

The big data module is also used to determine the value of the trademark to be applied: first establish the dimensions, including the infringement trial, the transaction amount of the same or similar category of trademarks, the authorization time, the total number of trademarks in the category, the rejection rate, and the establishment dimension further includes the industry. The number of listed companies and the profitability of listed companies in the industry, for example, the number of listed companies in the industry is 1,000, and the average profit margin of listed companies in the industry is 20% to 25%, then it can be seen that the profit rate of this industry is still More objectively, the number and rate of registered companies in the industry, the number and rate of e-commerce, and so on, so that the value of the final trademark can be maximized, and the subsequent foundation for the acquisition of well-known trademarks, and secondly, Each variable related to the transaction amount is given a certain weight, and then weighted to obtain the basic value. For each variable irrelevant to the transaction amount, the weighting factor 1 is greater than 1, and the number of similar trademarks is less than 1 factor 2, and the trademark value to be applied for Equal to the base value * factor 1 * factor 2, S4.2: if not, determine the trademark to be applied Whether the previously registered trademark or the trademark being applied for is similar, the similar judgment is judged by the artificial intelligence module, and the artificial intelligence module determines the method: first inputting the graphic, and then analyzing the basic constituent elements, The elements are based on the graphic elements of the trademark. The analysis of each basic element is judged according to the historical review data. The results of all the classification rules are weighted according to a certain way. The weights can be adjusted according to the applicant's risk preferences. For example, the weight of the company type related to the transaction amount is 10%, the weight of the foreign trade of the commodity is 20%, the weight of the company's profit margin is 40%, and the weight of the company's total business income is 30%. For 100 10, 60 20, 40 40, 80 30, according to the weighting calculation method, (10*100+20*60+40*40+30*80)/(100+60+40+80) =22.14, the basic value of the weighted value is 22.14. The variables irrelevant to the transaction amount include the company personnel structure, the company established area, the company's survival life, etc. The weighting value forming coefficient formed by these variables has a factor of 1.8, so the factor 1 If the factor 2 of the number formation coefficient of a similar trademark is 0.6, the factor 2 is less than 1. Such a measurement method assigns weights to different levels to discriminate the differences, and the weighted use does not simply look at one data. It is a comprehensive consideration, and the conclusion drawn in this way is more rational and objective, and the risk coefficient is small.

Further, the infringement trial is to extract the previously registered trademark of the commodity involving the infringement dispute or the category, city, country or region of the trademark being applied for; the previously registered trademark involved in the infringement dispute or is in the process of applying Business The amount of the disputed money and the parties to the dispute.

The above detailed description is only for the description of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention. Therefore, the equivalent technical changes which are made by using the present specification and the illustrated contents are included in the patent of the present invention. Within the scope.

Claims

A system for trademark application based on big data and artificial intelligence, comprising:

The input module inputs the basic information of the trademark to be applied for, and the basic information of the trademark to be applied for is the trademark name and design element series of the trademark to be applied for;

The database obtains information from the database according to the drawing of the graphic and text of the trademark to be applied for, and determines whether the same previously registered trademark or the trademark being applied in the same subclass;

The big data judgment module, according to the text and graphics of the trademark to be applied, has the same previously registered trademark or the trademark being applied in the same sub-category, and the prior-registered trademark is judged by the big data judgment module. Or whether the trademark being applied for is valid, if it is valid, it is judged whether it is similar to the commodity. If it is approximate, it gives a suggestion that the possibility of successful application is low and generates a report. If it is not approximate, it gives a high possibility of successful application. It is recommended to generate a report, and the judgment of the non-approximation is judged by the big data module. If it is invalid, it is judged whether the predetermined time is exceeded. If it is exceeded, the proposal with low possibility of successful application is given and a report is generated. If not, Then give a proposal for a high probability of successful application and generate a report. According to the text of the trademark to be applied, if there is no identical previously registered trademark or trademark in the same subcategory, the trademark to be applied and the prior trademark are judged. Whether the registered trademark or the trademark being applied for is similar, the big data module is judged by: according to the grammar rules, each Classification rules, according to the judgment review historical data, the results of all classification rules weighted, the weighted value may be adjusted according to the preferences of the applicant's risk in a predetermined manner;

The artificial intelligence module, based on the graphic of the trademark to be applied, does not have the same previously registered trademark or the trademark being applied in the same sub-category, and determines the trademark to be applied for and the previously registered trademark or the trademark being applied for. Whether the approximation is judged by the artificial intelligence module, the judging method of the artificial intelligence module is: first inputting the graphic, and then analyzing the basic constituent elements, wherein the elements are based on the graphic elements of the trademark, and each is analyzed. The basic element composition plan is judged according to the historical review data, and the results of all classification rules are added in a certain way. Weight calculation, the weighting value can be adjusted according to the applicant's risk preference;

The output module outputs the final trademark application analysis report of the trademark to be applied for.
The system for applying for a trademark based on big data and artificial intelligence according to claim 1, characterized in that, according to the graphic of the trademark to be applied, it is judged based on whether the image coincidence degree exceeds a predetermined value, whether the same subclass has the same A registered trademark or a trademark that is currently being applied for.
The system for trademark application based on big data and artificial intelligence according to claim 2, wherein the determination of the degree of coincidence of the image comprises judging the coincidence of any angular rotation.
A system for trademark application based on big data and artificial intelligence according to claim 1, wherein said same judgment is judged in accordance with the provisions of the trademark law, the implementation rules, and the examination guide.
The system for trademark application based on big data and artificial intelligence according to claim 1, characterized in that: according to the big data judgment module, the value of the trademark to be applied is determined, and the transaction including the infringement trial, the same or similar category trademark is established. The amount, the authorization time, the total number of trademarks in the category, and the rejection rate are given a certain weight for each variable related to the transaction amount, and then weighted to obtain the basic value; for each variable irrelevant to the transaction amount, the weight formation coefficient is greater than 1 The number of similar trademarks forms a factor of less than 1 and the value of the trademark to be applied is equal to the basic value * factor 1 * factor 2.
A system for trademark application based on big data and artificial intelligence according to claim 5, wherein said establishing dimension further comprises the number of listed companies in the industry and the profitability of listed companies in the industry.
The method for claiming a trademark based on big data and artificial intelligence according to claim 5, wherein the establishing dimension further comprises the number and rate of registered companies in the industry, the number and rate of e-commerce.
The method for claiming a trademark based on big data and artificial intelligence according to claim 5, wherein the infringement trial is a type of a previously registered trademark or a trademark being applied for extracting the commodity involving an infringement dispute, City, country or region; the amount of disputes between the previously registered trademarks or the trademarks being applied for infringement disputes There are parties.
The method for claiming a trademark based on big data and artificial intelligence according to claim 5, wherein the weight can be dynamically adjusted, and the weight adjustment can be performed for emerging industries, and the emerging industry has three criteria: the first is the field. The number of company registrations, the second is the number of companies financing in the field, and the third is the number of companies registered in the field and the amount of financing.