CN107563720A - The method of trademark application based on big data and artificial intelligence - Google Patents
The method of trademark application based on big data and artificial intelligence Download PDFInfo
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- CN107563720A CN107563720A CN201710667970.0A CN201710667970A CN107563720A CN 107563720 A CN107563720 A CN 107563720A CN 201710667970 A CN201710667970 A CN 201710667970A CN 107563720 A CN107563720 A CN 107563720A
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Abstract
The invention discloses a kind of method of the trademark application based on big data and artificial intelligence, comprise the following steps：S1：Prepare the essential information of trade mark to be applied, S2：The essential information typing of trade mark to be applied, S3：Treat the word for applying for trade mark respectively by OCR technique and figure is judged, S4：The figure of trade mark to be applied is extracted, judges whether there is identical formerly registered trade mark or the trade mark applied, S5 in same group：The word of trade mark to be applied is extracted, judges whether there is identical formerly registered trade mark or the trade mark applied, S6 in same group：Export the trademark application analysis report of trade mark to be applied：After above-mentioned steps are fully completed, form final trademark application analysis report, with reach the basic value of trade mark carried out it is objective, fully understand and positioning.
Description
【Technical field】
The present invention relates to a kind of method of trademark application, espespecially a kind of trademark application based on big data and artificial intelligence
Method.
【Background technology】
In increasingly fierce market competition, the value of trade mark is increasingly embodied, the high trade mark of enterprise's possession value,
And the patent that the more early possession value of enterprise is high, just mean to occupy market, affect the consumption habit of consumer.
Because the cycle of trademark application is longer, probabilistic factor is more, and enterprise expects that the standard of trademark application can be improved
True rate, but now traditional trade mark judges or based on artificial in application, does not only exist the incomplete problem of retrieval,
And having excessive subjective factor, i.e. subjectivity is strong, leads to not objective and comprehensive application trade mark for the treatment of and carries out analysis and assessment.
Therefore, it is necessary to a kind of method and system of the good trademark application based on big data and artificial intelligence are designed, with
Overcome above mentioned problem.
【The content of the invention】
For background technology problem encountered, it is an object of the invention to provide one kind by using big data algorithm pair
Trade mark to be applied is analyzed, and result is objective to reach, the big trade mark Shen based on big data and artificial intelligence of reference significance
Method please.
To achieve the above object, the present invention uses following technological means：
A kind of method of the trademark application based on big data and artificial intelligence, it comprises the following steps：
S1：Prepare the essential information of trade mark to be applied：The brand name and design considerations series materials of trade mark to be applied；
S2：The essential information typing of trade mark to be applied：The essential information of trade mark to be applied in S1 is corresponded into input system；
S3：The word and figure for treating application trade mark respectively by OCR technique are judged；
S4：Extract the figure of trade mark to be applied, judge whether same group have identical formerly registered trade mark or
The trade mark applied：S4.1：If then judging whether formerly registered trade mark or the trade mark applied have
Effect, if effectively, then whether judgement is approximate with commodity, if approximate, provides suggestion and the life for applying for that successfully possibility is low
Into report, if not approximate, provide and apply for suggestion that successfully possibility is high and generate report, it is described not judge approximately by big
Data module is judged that the determination methods of big data module are：Classified according to syntax rule, each classifying rules, pressed
Examine that data are judged according to history, the result of all classifying rules is weighted in a predetermined manner, it is described to add
Weights can be liked according to the risk of applicant to be adjusted, if invalid, then judges whether to exceed the scheduled time, if it does,
Then provide and apply for suggestion that successfully possibility is low and generate report, if be no more than, provide and apply for that successfully possibility is high and build
Discuss and generate report, S4.2：If nothing, trade mark to be applied and first registered trade mark or the trade mark applied are judged
Whether it is similar, the close judgement is judged by artificial intelligence module, and the determination methods of artificial intelligence module are：It is first
First figure is inputted, then analyzes underlying dimension, for the key element using the graphical element of trade mark as fundamental, analysis is each
Fundamental composition proposal examines that data are judged according to history, and the result of all classifying rules is entered according to certain mode
Row weighted calculation, the weighted value can like according to the risk of applicant to be adjusted；
S5：Extract the word of trade mark to be applied, judge whether same group have identical formerly registered trade mark or
The trade mark applied：S5.1：If so, then judging whether formerly registered trade mark or the trade mark applied have
Effect, if it is valid, whether judgement is approximate with commodity, if approximate, provide suggestion and the generation for applying for that successfully possibility is low
Report, if not approximate, provide and apply for suggestion that successfully possibility is high and generate report, it is described not judge approximately by counting greatly
Judged according to module, the determination methods of big data module are identical with S4.1, if invalid, then judge whether to exceed in advance
Fix time, apply for suggestion that successfully possibility is low if it does, then providing and generate report, if be no more than, provide application
The high suggestion of success possibility simultaneously generates report, S5.2：If nothing, judge trade mark to be applied and first registered trade mark or
Whether the trade mark applied is similar, and the close judgement is judged by big data module, big data module
Determination methods are identical with S4.1；
S6：Export the trademark application analysis report of trade mark to be applied：After above-mentioned steps are fully completed, final trade mark is formed
Apply for analysis report.
Further, whether described in S4 identical is judged based on image registration more than predetermined value.
Further, the judgement of the image registration includes the coincidence of Arbitrary Rotation and judged.
Further, the identical in S5 judges to be sentenced according to trademark law, detailed rules for the implementation and guidelines for examination regulation
It is disconnected.
Further, in S4.1, S5.1 and S5.2, the value of trade mark to be applied is judged according to big data：Initially set up dimension
Degree, including infringement trial, same or like dealing money like classification trade mark, the mandate time, category trade mark total number,
Rate of refusal, secondly, for assigning certain weight with the related each variable of dealing money, then weight and draw basic value.
Further, for the factor 1 of the unrelated each variable weighting the efficiency of formation of dealing money more than 1, similar brand
Quantity the efficiency of formation be less than 1 the factor 2, brand value to be applied is equal to the basic value * factor 1* factors 2.
Further, establish dimension and further comprise the quantity of the sector listed company and the profit of the sector listed company
Rate.
Further, quantity and speed, the quantity of electric business and speed that dimension further comprises the sector company incorporated are established
Rate.
Further, infringement trial is related to the first registered trade mark of infringement disputes or applied to extract the commodity
In the classification of trade mark, city, country.
Further, the dispute money number of trade mark for being related to the first registered trade mark of infringement disputes or applying
Volume and dispute party.
Further, weight is dynamically adapted, and can carry out weight adjustment to emerging industry, emerging industry criterion is
Three kinds：The first is register of company's quantity in the field, and second of company's financing quantity for the field, the third is the field
Register of company's quantity and financing quantity.
Further, the essential information of the trade mark to be applied in S2 carries out input system by an input module, in S4 and S5
Information of the information source in a database, S4.1, S5.1 and S5.2 analyzed by a big data judge module, in S4.2
Information analyzed by an artificial intelligence module, in S6 trade mark to be applied a final artificial intelligence module carry out analysis report
Exported by an output module.
Compared with prior art, the invention has the advantages that：
In the method for the above-mentioned trademark application based on big data and artificial intelligence, application business is treated respectively by OCR technique
Target word and figure are judged that OCR technique is abbreviation (the Optical Character of optical character identification
Recognition), it is by the optics input mode such as scanning by various bills, newpapers and periodicals, books, manuscript and other printed matters
Word is converted into image information, recycles character recognition technology that image information is converted into the computer input skill that can be used
Art, technology maturation, the result judged analysis provide safeguard.
Extract the figure of trade mark to be applied first, judge whether same group have identical formerly registered trade mark or
The trade mark applied, next extracts the word of trade mark to be applied, judges whether have identical formerly to note in same group
The trade mark of volume or the trade mark applied, analysis judgement is carried out by big data module and artificial intelligence module, Shen is treated in output
Please trade mark final trademark application analysis report, so export trade mark to be applied it is final value assessment report, as a result reflect
Market economy is worth, and has higher reference significance, as a result also just more reference value, and system automatic data collection contrasts, and is saved
A large amount of manpowers have been saved, have also allowed for the monitoring of follow-up resembling trade mark.
【Brief description of the drawings】
Fig. 1 is the overview flow chart of the method for the trademark application of the invention based on big data and artificial intelligence；
【Embodiment】
For ease of being better understood from the purpose of the present invention, structure, feature and effect etc., in conjunction with accompanying drawing and specific implementation
The invention will be further described for mode.
Fig. 1 is referred to, a kind of method of the trademark application based on big data and artificial intelligence, it comprises the following steps：
S1：Prepare the essential information of trade mark to be applied：The brand name and design considerations series materials of trade mark to be applied, its
Information, color, style for highlighting etc. are needed in the contents of middle design considerations series materials including word, pattern.
S2：The essential information typing of trade mark to be applied：The essential information of trade mark to be applied in S1 is corresponded into input system.
S3：The word and figure for treating application trade mark respectively by OCR technique are judged that OCR technique is optical character
The abbreviation (Optical Character Recognition) of identification, be by scan etc. optics input mode by various bills,
Newpapers and periodicals, books, the word of manuscript and other printed matters are converted into image information, recycle character recognition technology to turn image information
Turn to the computer input technology that can be used, technology maturation, the result judged analysis provides safeguard, for example, can will be
First the information of registered trade mark or the trade mark applied is scanned, and obtains useful information.
S4：Extract the figure of trade mark to be applied, judge whether same group have identical formerly registered trade mark or
The trade mark applied, it is described it is identical whether judged based on image registration more than predetermined value, the image registration
Judgement include the coincidence of Arbitrary Rotation and judged, S4.1：If then judging formerly registered trade mark or
Whether the trade mark in application is effective, if effectively, then whether judgement is approximate with commodity, if approximate, provide and applies successfully
The low suggestion of possibility simultaneously generates report, if not approximate, provide and applies for suggestion that successfully possibility is high and generate report, institute
State and do not judge approximately to be judged by big data module, the determination methods of big data module are：Divided according to syntax rule
Class, each classifying rules, examine that data are judged according to history, the result of all classifying rules is entered in a predetermined manner
Row weighting
Calculate, the weighted value can like according to the risk of applicant to be adjusted, if invalid, then judges whether to exceed
The scheduled time, apply for suggestion that successfully possibility is low if it does, then providing and generate report, if be no more than, provide Shen
The high suggestion of the possibility that please succeed simultaneously generates report, for example, the predetermined value of image registration is set to 60%, if image registration
Numerical value be 80%, then just exceeded predetermined value, so then provided and apply for suggestion that successfully possibility is low and generate report, such as
The numerical value of fruit image registration is 40%, then has just been not above predetermined value, has so then provided and apply for that successfully possibility is high
It is recommended that and generate report.The coincidence that the judgement that the image overlaps includes Arbitrary Rotation is judged, for example, formerly having noted
A pattern in the trade mark of volume or the trade mark applied is vertical display, and the pattern in trade mark to be assessed is inclination 30
Put at degree angle, then the judgement meeting anglec of rotation that the image overlaps, if overlapped, the number of image registration after 30 degree of rotation
As long as value is more than the 60% of predetermined value, then just or it can provide and apply for suggestion that successfully possibility is low and generate report, conversely,
Predetermined value has been not above, then has provided and applies for suggestion that successfully possibility is high and generate report, so breach the to be evaluated of figure
Estimate the difficult point of trade mark, will not omit, risk factor is low.
The value of trade mark to be applied is judged according to big data：Initially set up dimension, including infringement trial, it is same or like seemingly
The dealing money of classification trade mark, time, the total number of category trade mark, rate of refusal are authorized, establish dimension and further comprise this
The quantity of industry listed company and the profit margin of the sector listed company, for example, the quantity of the sector listed company is 1000,
The average profit margin of the sector listed company is 20% to 25%, then it can be seen that the profit margin of this industry is still more objective
See, the quantity and speed of the sector company incorporated, the quantity of electric business and speed, so comply with the trend in epoch, it is so final
The value competence exertion of trade mark is subsequently also laid a good foundation, secondly, for dealing money phase to maximum to obtaining well-known trademark
Each variable closed assigns certain weight, then weights and draw basic value, for forming system with the unrelated each variable weighting of dealing money
The factor 1 of the number more than 1, the quantity the efficiency of formation of similar brand are less than 1 factor 2, brand value apply equal to basic value * because
The sub- 1* factors 2, S4.2：If nothing, judge that trade mark to be applied is with first registered trade mark or the trade mark applied
No close, the close judgement is judged by artificial intelligence module, and the determination methods of artificial intelligence module are：First
Figure is inputted, then analyzes underlying dimension, the key element analyzes each base using the graphical element of trade mark as fundamental
Essentiality composition proposal examines that data are judged according to history, and the result of all classifying rules is carried out according to certain mode
Weighted calculation, the weighted value can like according to the risk of applicant to be adjusted.For example, company's type of dealing money correlation
Weight is 10%, and the weight of commodity foreign trade is 20%, and the weight of the ratio of profits to stockholder's equity or to sales is 40%, and health service revenue is always sought by company
Weight is 30%, from the acquisition of information of database, is weighed for 100 10,60 20,40 40,80 30, according to the calculating of weighting
Method, (10*100+20*60+40*40+30*80)/(100+60+40+80)=22.14, the basic value for drawing weighting are
22.14, the unrelated variable of dealing money has associate's framework, the region of Company Establishment, survival life-span etc. of company, these changes
The factor 1 for measuring the weighted value the efficiency of formation formed is 1.8, therefore the factor 1 is more than 1, the factor 2 of the quantity the efficiency of formation of similar brand
For 0.6, therefore the factor 2 is less than 1, such assay method, assigns weight to different aspects, to differentiate each difference, coordinates weighting
Use, a data will not be seen merely, but consider, the conclusion so drawn is to compare reason and objective, risk
Coefficient is small.
Weight is dynamically adapted, and weight adjustment can be carried out to emerging industry, and emerging industry criterion is three kinds：First
Kind is register of company's quantity in the field, and second of company's financing quantity for the field, the third is company's note in the field
Volumes amount and financing quantity, this is development model common in later business, is considered in this aspect, can more comply with the tide in epoch
Stream, beneficial to the follow-up development of enterprise.Infringement trial is extracts the first registered trade mark or just that the commodity are related to infringement disputes
The classification of trade mark in application, city, country, it is related to the first registered trade mark of infringement disputes or applies
In trade mark dispute amount of money and dispute party, so avoid occurring dispute in follow-up developments, influence the use of trade mark,
Further enterprise is allowed to be damaged.
S5：Extract the word of trade mark to be applied, judge whether same group have identical formerly registered trade mark or
The trade mark applied, the identical judge to be judged according to trademark law, detailed rules for the implementation and guidelines for examination regulation：
S5.1：If so, then judge whether formerly registered trade mark or the trade mark applied are effective, if it is valid, judging
It is whether approximate with commodity, if approximate, provide and apply for suggestion that successfully possibility is low and generate report, if not approximate,
Provide and apply for suggestion that successfully possibility is high and generate report, it is described not judge approximately to be judged by big data module, greatly
The determination methods of data module are identical with S4.1, if invalid, then judge whether to exceed the scheduled time, if it does,
Then provide and apply for suggestion that successfully possibility is low and generate report, if be no more than, provide and apply for that successfully possibility is high and build
Discuss and generate report, S5.2：If nothing, trade mark to be applied and first registered trade mark or the trade mark applied are judged
Whether it is similar, the close judgement is judged by big data module, in the determination methods and S4.1 of big data module
It is identical.
S6：Export the trademark application analysis report of trade mark to be applied：After above-mentioned steps are fully completed, final trade mark is formed
Apply for analysis report.
Refer to Fig. 1, in the method for the above-mentioned trademark application based on big data and artificial intelligence, distinguished by OCR technique
The word and figure for treating application trade mark are judged that OCR technique is the abbreviation (Optical of optical character identification
Character Recognition), be by scan etc. optics input mode by various bills, newpapers and periodicals, books, manuscript and its
The word of its printed matter is converted into image information, recycles character recognition technology that image information is converted into the calculating that can be used
Machine input technology, technology maturation, the result judged analysis provide safeguard.
Extract the figure of trade mark to be applied first, judge whether same group have identical formerly registered trade mark or
The trade mark applied, next extracts the word of trade mark to be applied, judges whether have identical formerly to note in same group
The trade mark of volume or the trade mark applied, analysis judgement is carried out by big data module and artificial intelligence module, Shen is treated in output
Please trade mark final trademark application analysis report, so export trade mark to be applied it is final value assessment report, as a result reflect
Market economy is worth, and has higher reference significance, as a result also just more reference value, and system automatic data collection contrasts, and is saved
A large amount of manpowers have been saved, have also allowed for the monitoring of follow-up resembling trade mark.
Detailed description above is only the explanation of the preferred embodiments of the invention, non-therefore the limitation present invention the scope of the claims,
So all equivalence techniqueses with carried out by this creation specification and diagramatic content change, the scope of the claims of the present invention is both contained in
It is interior.
Claims (10)
- A kind of 1. method of the trademark application based on big data and artificial intelligence, it is characterised in that comprise the following steps：S1：Prepare the essential information of trade mark to be applied：The brand name and design considerations series materials of trade mark to be applied；S2：The essential information typing of trade mark to be applied：The essential information of trade mark to be applied in S1 is corresponded into input system；S3：The word and figure for treating application trade mark respectively by OCR technique are judged；S4：The figure of trade mark to be applied is extracted, judges whether there is identical formerly registered trade mark or in same group Trade mark in application：S4.1：If so, then judge whether formerly registered trade mark or the trade mark applied are effective, if effectively, Then judge whether approximate with commodity, if approximate, provide and apply for suggestion that successfully possibility is low and generate report, if not near Seemingly, then provide and apply for suggestion that successfully possibility is high and generate report, it is described not judge approximately to be sentenced by big data module Disconnected, the determination methods of big data module are：Classified according to syntax rule, each classifying rules, data are examined according to history Judged, the result of all classifying rules is weighted in a predetermined manner, the weighted value can be according to Shen The risk hobby adjustment asked someone, if invalid, then judge whether to exceed the scheduled time, applies successfully if it does, then providing The low suggestion of possibility simultaneously generates report, if be no more than, provides and applies for suggestion that successfully possibility is high and generate report,S4.2：If nothing, judge whether trade mark to be applied and first registered trade mark or the trade mark applied are close Seemingly, the close judgement is judged by artificial intelligence module, and the determination methods of artificial intelligence module are：Figure is inputted first, then analyzes underlying dimension, the key element is divided using the graphical element of trade mark as fundamental Analyse each fundamental composition proposal and examine that data are judged according to history, to the results of all classifying rules according to certain Mode is weighted, and the weighted value can like according to the risk of applicant to be adjusted；S5：The word of trade mark to be applied is extracted, judges whether there is identical formerly registered trade mark or in same group Trade mark in application：S5.1：If so, then judge whether formerly registered trade mark or the trade mark applied are effective, if it is valid, Judge whether approximate with commodity, if approximate, provide and apply for suggestion that successfully possibility is low and generate report, if not near Seemingly, then provide and apply for suggestion that successfully possibility is high and generate report, it is described not judge approximately to be sentenced by big data module Disconnected, the determination methods of big data module are identical with S4.1, if invalid, then judge whether to exceed the scheduled time, if Exceed, then provide and apply for suggestion that successfully possibility is low and generate report, if be no more than, provide and apply for that successfully possibility is high Suggestion and generate report,S5.2：If nothing, judge whether trade mark to be applied and first registered trade mark or the trade mark applied are close Seemingly, the close judgement is judged that the determination methods of big data module are identical with S4.1 by big data module；S6：Export the trademark application analysis report of trade mark to be applied：After above-mentioned steps are fully completed, final trademark application is formed Analysis report.
- 2. the method for the trademark application as claimed in claim 1 based on big data and artificial intelligence, it is characterised in that：In S4 It is described identical whether to be judged based on image registration more than predetermined value.
- 3. the method for the trademark application as claimed in claim 2 based on big data and artificial intelligence, it is characterised in that：The shadow The coincidence for including Arbitrary Rotation as the judgement of registration is judged.
- 4. the method for the trademark application as claimed in claim 1 based on big data and artificial intelligence, it is characterised in that：In S5 The identical judges to be judged according to trademark law, detailed rules for the implementation and guidelines for examination regulation.
- 5. the method for the trademark application as claimed in claim 1 based on big data and artificial intelligence, it is characterised in that：S4.1、 In S5.1 and S5.2, the value of trade mark to be applied is judged according to big data：Initially set up dimension, including infringement trial, it is identical or The dealing money of close classification trade mark, time, the total number of category trade mark, rate of refusal are authorized, secondly, for transaction The related each variable of the amount of money assigns certain weight, then weights and draw basic value.
- 6. the method for the trademark application as claimed in claim 5 based on big data and artificial intelligence, it is characterised in that：For with The unrelated each variable weighting the efficiency of formation of dealing money is more than 1 factor 1, the quantity the efficiency of formation of similar brand less than 1 because Son 2, brand value to be applied is equal to the basic value * factor 1* factors 2.
- 7. the method for the trademark application as claimed in claim 5 based on big data and artificial intelligence, it is characterised in that：Establish dimension Degree further comprises the quantity of the sector listed company and the profit margin of the sector listed company.
- 8. the method for the trademark application as claimed in claim 5 based on big data and artificial intelligence, it is characterised in that：Establish dimension Degree further comprises quantity and speed, the quantity of electric business and speed of the sector company incorporated.
- 9. the method for the trademark application as claimed in claim 5 based on big data and artificial intelligence, it is characterised in that：Infringement is examined It is judged to extract the commodity and is related to the first registered trade mark of infringement disputes or the classification for the trade mark applied, city, state Family or area；It is related to dispute amount of money and the dispute of the first registered trade mark or the trade mark applied of infringement disputes Party.
- 10. the method for the trademark application as claimed in claim 5 based on big data and artificial intelligence, it is characterised in that：Weight It is dynamically adapted, weight adjustment can be carried out to emerging industry, emerging industry criterion is three kinds：The first is the field Register of company's quantity, second of company's financing quantity for the field, the third is register of company's quantity and financing in the field Quantity；The essential information of trade mark to be applied in S2 carries out input system by an input module, the information source in S4 and S5 in One database, the information in S4.1, S5.1 and S5.2 are analyzed by a big data judge module, and the information in S4.2 is by a people Work intelligent object is analyzed, and a final artificial intelligence module for trade mark to be applied carries out analysis report by an output module in S6 Output.
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