WO2019028597A1 - Artificial intelligence-based figurative trademark registration possibility determining method - Google Patents

Artificial intelligence-based figurative trademark registration possibility determining method Download PDF

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WO2019028597A1
WO2019028597A1 PCT/CN2017/096245 CN2017096245W WO2019028597A1 WO 2019028597 A1 WO2019028597 A1 WO 2019028597A1 CN 2017096245 W CN2017096245 W CN 2017096245W WO 2019028597 A1 WO2019028597 A1 WO 2019028597A1
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trademark
graphic
registered
artificial intelligence
registrability
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PCT/CN2017/096245
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French (fr)
Chinese (zh)
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万忠凯
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深圳益强信息科技有限公司
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Priority to PCT/CN2017/096245 priority Critical patent/WO2019028597A1/en
Publication of WO2019028597A1 publication Critical patent/WO2019028597A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/906Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor

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  • the invention relates to the field of enterprise intellectual property management systems, in particular to a method for determining the registrability of graphic trademarks based on artificial intelligence.
  • a method for judging the registrability of a graphic trademark based on artificial intelligence, applied to a server comprising:
  • the graphic trademark information to be registered includes trademark pattern information to be registered, a product and service name used by the trademark, and/or a trademark category to be registered, the commodity category including a large category, a small category, or a commodity or The number of the service.
  • the trademark pattern information to be registered includes an icon and/or a graphic element of the trademark to be registered.
  • the method further comprises: S102, according to the Similar Goods and Services Classification Table and similar commodities and The service judgment rule regroups the same or similar items, and classifies similar goods and services of any goods and service items into the same group.
  • the prior graphic trademark and related information existing in the classification group in the search database specifically includes: searching for all preceding graphics existing in the database for the commodities and service items in each classification group Trademarks and related information.
  • the image coincidence includes rotating the icon at an arbitrary angle and then overlapping.
  • the determining whether the proposed registered trademark is identical to the prior graphic trademark or the approximate step by the image coincidence determination is determined by the artificial intelligence module.
  • the determining step of the artificial intelligence module is as follows:
  • the icon 1 to the icon N are image-integrated with each of the preceding graphic trademarks one by one, and the coincidence degree 1, the coincidence degree 2, the degree of coincidence M is obtained;
  • S1064 Perform a weighting calculation on the coincidence degree 1 to the coincidence degree M according to a predetermined rule to obtain a registration success probability, and the predetermined rule may be adjusted according to the user's risk preference.
  • the user terminal is a smart phone, a tablet computer, a personal digital assistant, and a smart wearer.
  • Device or laptop laptop is a smart phone, a tablet computer, a personal digital assistant, and a smart wearer.
  • laptop laptop a smart wearer.
  • S104 before S106, further comprising: S105, deleting the prior graphic trademark whose legal status is displayed as invalid or invalid.
  • FIG. 1 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to an embodiment of the present invention
  • FIG. 2 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to still another embodiment of the present invention
  • FIG. 3 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to still another embodiment of the present invention.
  • FIG. 4 is a schematic flowchart of determining an artificial intelligence module according to an embodiment of the present invention.
  • User terminals to which the present invention relates include, but are not limited to, smartphones, tablets, personal digital assistants, smart wearable devices, laptop portable computers, and the like.
  • an artificial intelligence-based graphic trademark registrability judgment method is applied to a server, which includes:
  • the graphic trademark information to be registered includes trademark pattern information to be registered, a product and service name used by the trademark, and/or a trademark category to be registered, the commodity category including a major category, a small category, or a number of a commodity or service.
  • the trademark pattern information to be registered includes icons and/or graphic elements of the trademark to be registered.
  • the classification method of the trademark categories to be registered is classified according to the Similar Goods and Services Classification Table.
  • the product and service name used by the trademark is matched with each commodity and service item in each classification group, and the classification group of the goods and services to be used by the user is determined.
  • the method further includes: S102, according to the similar goods and services.
  • the Table and similar commodity and service judgment rules regroup the same or similar goods and services, and classify similar goods and services for any goods and services into the same group.
  • a video game card in the 0901 subclass is similar to a video game card in the previous 0908 subclass of the ninth edition, and falls into the same group.
  • the calculation scale of the 0901 subclass is similar to the calculation rule of the previous 0902 subclass of the tenth edition, and belongs to the same group.
  • S104 Search for a prior graphic trademark and related information existing in the classification group in the database; and search for all prior graphic trademarks and related information existing in the database for the commodities and service items in each classification group.
  • the method of the present invention further includes: S105, deleting a prior graphic trademark whose legal status is displayed as invalid or invalid. Specifically, if the legal status displayed by a prior graphic trademark has expired, for example, the rejection is invalid, invalid, non-renewal invalid, etc., it is excluded, and only the prior word trademarks and related information in the valid and under review are retained. .
  • S106 Determine whether the to-be-registered trademark is identical or similar to the previous graphic trademark one by one based on the image coincidence judgment; the image coincidence includes rotating the icon at an arbitrary angle and then overlapping.
  • the image-based coincidence judgment judges whether the proposed registered trademark and the prior graphic trademark are identical or approximate steps are judged by the artificial intelligence module.
  • the steps of the artificial intelligence module are as follows:
  • the icon 1 to the icon N are image-integrated with each of the preceding graphic trademarks one by one, and the coincidence degree 1, the coincidence degree 2, the degree of coincidence M is obtained;
  • S1064 Perform a weighting calculation on the coincidence degree 1 to the coincidence degree M according to a predetermined rule to obtain a registration success probability, and the predetermined rule may be adjusted according to the user's risk preference.
  • the probability of successful registration of a trademark can be obtained by calculating a weighted average of the coincidences.
  • the artificial intelligence-based graphic trademark registrability judgment method of the invention uses the artificial intelligence algorithm to search and analyze the trademark to be registered, which is not easy to miss detection, and the analysis result is more objective, which can greatly improve the success rate of the registered trademark of the enterprise. And save the cost of corporate trademark registration, with a high reference value.

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
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Abstract

An artificial intelligence-based figurative trademark registration possibility determining method, applied to a server, comprising: S101, receiving information, sent by a user terminal, about a figurative trademark to be registered; S103, determining, according to the received figurative trademark information, a classification group of a commodity or a service where the figurative trademark to be registered is located; S104, searching for previous figurative trademarks and relevant information thereof existing in the classification group of a database; S106, determining, on the basis of image coincidence, one by one, whether the trademark to be registered is the same as or similar to the previous figurative trademarks; and S107, giving a corresponding registration suggestion according to the determining result, generating a report and outputting same to the user terminal. A big data algorithm is used to perform retrieval and analysis on a trademark to be registered, so that missing retrieval is not easy to occur, and the analysis result is relatively objective.

Description

基于人工智能的图形商标可注册性判断的方法Method for registrability judgment of graphic trademark based on artificial intelligence 技术领域Technical field
本发明涉及企业知识产权管理系统领域,特别涉及一种基于人工智能的图形商标可注册性判断的方法。The invention relates to the field of enterprise intellectual property management systems, in particular to a method for determining the registrability of graphic trademarks based on artificial intelligence.
背景技术Background technique
由于商标注册的审查周期较长,审查结果的不确定性较高,企业期望能提高商标注册成功的准确率,以节省注册成本及结果的不确定给企业带来的损失。然而,现在商标注册前的检索及判断以人工为主,这样不仅检索不全面,而且主观性较强。Due to the long review period of trademark registration and the high uncertainty of the review results, the company expects to improve the accuracy of trademark registration success, in order to save the registration cost and the uncertainty of the results to the enterprise. However, the search and judgment before the trademark registration is mainly artificial, so that the search is not comprehensive and subjective.
发明内容Summary of the invention
鉴于此,有必要提供一种基于人工智能的图形商标可注册性判断方法。其通过采用人工智能的算法对拟注册的商标进行检索分析,不容易漏检,而且分析结果较为客观,可大大提高企业注册商标的成功率,并节省企业商标注册的成本,具有较高的参考价值。In view of this, it is necessary to provide a method for judging the registrability of graphic trademarks based on artificial intelligence. Through the use of artificial intelligence algorithm to search and analyze the trademarks to be registered, it is not easy to miss the inspection, and the analysis results are more objective, which can greatly improve the success rate of the registered trademarks of enterprises, and save the cost of trademark registration of enterprises, with high reference. value.
本发明的目的通过以下技术方案实现:The object of the invention is achieved by the following technical solutions:
一种基于人工智能的图形商标可注册性判断方法,应用于服务器,其包括:A method for judging the registrability of a graphic trademark based on artificial intelligence, applied to a server, comprising:
S101,接收用户终端发送的拟注册的图形商标信息;S101. Receive graphic trademark information to be registered sent by the user terminal.
S103,根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别;S103. Determine, according to the received graphic trademark information, a classification group of goods or services where the graphic trademark to be registered is located;
S104,搜索数据库中所述分类组别中存在的在先图形商标及其相关信息;S104. Search for a prior graphic trademark and related information existing in the classification group in the database;
S106,基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似; S106. Determine whether the proposed registered trademark is identical or similar to the prior graphic trademark one by one based on the image coincidence judgment;
S107,根据判断结果给出相应注册建议,并生成报告输出至用户终端。S107. Corresponding registration suggestions are given according to the judgment result, and the report is generated and output to the user terminal.
优选地,所述拟注册的图形商标信息包括拟注册的商标图案信息,该商标使用的商品和服务名称和/或需注册的商标类别,所述商品类别包括大类、小类、或者商品或服务的编号。Preferably, the graphic trademark information to be registered includes trademark pattern information to be registered, a product and service name used by the trademark, and/or a trademark category to be registered, the commodity category including a large category, a small category, or a commodity or The number of the service.
优选地,所述拟注册的商标图案信息包括拟注册商标的图标和/或图形要素。Preferably, the trademark pattern information to be registered includes an icon and/or a graphic element of the trademark to be registered.
优选地,在根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别之前,所述方法还包括:S102,根据《类似商品和服务区分表》及类似商品和服务判断规则对相同或类似商品进行重新分组,将任一商品和服务项目的类似商品和服务均归至同一组别。Preferably, before determining the classification group of the goods or services in which the graphic trademark is to be registered according to the received graphic trademark information, the method further comprises: S102, according to the Similar Goods and Services Classification Table and similar commodities and The service judgment rule regroups the same or similar items, and classifies similar goods and services of any goods and service items into the same group.
优选地,所述搜索数据库中所述分类组别中存在的在先图形商标及其相关信息,具体包括:针对每个分类组别中的商品和服务项目,搜索数据库中存在的所有在先图形商标及其相关信息。Preferably, the prior graphic trademark and related information existing in the classification group in the search database specifically includes: searching for all preceding graphics existing in the database for the commodities and service items in each classification group Trademarks and related information.
优选地,所述影像重合包括将图标进行任意角度旋转后再进行重合。Preferably, the image coincidence includes rotating the icon at an arbitrary angle and then overlapping.
优选地,所述基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似步骤由人工智能模块进行判断。Preferably, the determining whether the proposed registered trademark is identical to the prior graphic trademark or the approximate step by the image coincidence determination is determined by the artificial intelligence module.
优选地,所述人工智能模块的判断步骤如下:Preferably, the determining step of the artificial intelligence module is as follows:
S1061,分析图标的基本组成要素;S1061, analyzing basic elements of the icon;
S1062,将每个基本组成要素进行排列组合,形成一系列新的图标1、图标2、图标2……图标N,N为整数;S1062, arranging and combining each basic component to form a series of new icons 1, icons 2, icons 2, ... icons N, where N is an integer;
S1063,对图标1至图标N逐一与每一在先图形商标进行影像重合,得出重合度1,重合度2……重合度M;S1063, the icon 1 to the icon N are image-integrated with each of the preceding graphic trademarks one by one, and the coincidence degree 1, the coincidence degree 2, the degree of coincidence M is obtained;
S1064,按预定规则对重合度1至重合度M进行加权计算,得出注册成功概率,所述预定规则可根据用户的风险喜好进行调整。S1064: Perform a weighting calculation on the coincidence degree 1 to the coincidence degree M according to a predetermined rule to obtain a registration success probability, and the predetermined rule may be adjusted according to the user's risk preference.
优选地,所述用户终端为智能手机、平板电脑、个人数字助理、智能穿戴 设备或膝上型便携式计算机。Preferably, the user terminal is a smart phone, a tablet computer, a personal digital assistant, and a smart wearer. Device or laptop laptop.
优选地,在S104之后,S106之前,还包括:S105,删除法律状态显示为失效或无效的在先图形商标。Preferably, after S104, before S106, further comprising: S105, deleting the prior graphic trademark whose legal status is displayed as invalid or invalid.
本发明的基于人工智能的图形商标可注册性判断方法,具有以下优点:The artificial intelligence-based graphic trademark registrability judgment method of the invention has the following advantages:
1)系统自动采集比对,节省了大量人力;1) The system automatically collects the comparison, saving a lot of manpower;
2)基于大数据分析,结果更具有参考价值;2) Based on big data analysis, the results are more informative;
3)便于后续类似商标的监控。3) Facilitate the subsequent monitoring of similar trademarks.
附图说明DRAWINGS
图1是本发明一实施例的基于人工智能的图形商标可注册性判断方法的流程图示意图;1 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to an embodiment of the present invention;
图2是本发明又一实施例的基于人工智能的图形商标可注册性判断方法的流程图示意图;2 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to still another embodiment of the present invention;
图3是本发明又一实施例的基于人工智能的图形商标可注册性判断方法的流程图示意图;3 is a flow chart showing a method for judging the registrability of a graphic trademark based on artificial intelligence according to still another embodiment of the present invention;
图4是本发明一实施例的人工智能模块判断的流程示意图;4 is a schematic flowchart of determining an artificial intelligence module according to an embodiment of the present invention;
具体实施方式Detailed ways
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及具体实施例,对本发明作进一步详细描述。应当理解,此处所描述的具体实施例仅用以解释本发明,并不用于限定本发明。The present invention will be further described in detail below with reference to the drawings and specific embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
本发明所涉及的用户终端包括但不限于智能手机、平板电脑、个人数字助理、智能穿戴设备及膝上型便携式计算机等。User terminals to which the present invention relates include, but are not limited to, smartphones, tablets, personal digital assistants, smart wearable devices, laptop portable computers, and the like.
参见图1,本发明较佳实施例的基于人工智能的图形商标可注册性判断方法,应用于服务器,其包括:Referring to FIG. 1 , an artificial intelligence-based graphic trademark registrability judgment method according to a preferred embodiment of the present invention is applied to a server, which includes:
S101,接收用户终端发送的拟注册的图形商标信息; S101. Receive graphic trademark information to be registered sent by the user terminal.
该拟注册的图形商标信息包括拟注册的商标图案信息,该商标使用的商品和服务名称和/或需注册的商标类别,所述商品类别包括大类、小类、或者商品或服务的编号。该拟注册的商标图案信息包括拟注册商标的图标和/或图形要素。需注册的商标类别的分类方法按照《类似商品和服务区分表》进行分类。The graphic trademark information to be registered includes trademark pattern information to be registered, a product and service name used by the trademark, and/or a trademark category to be registered, the commodity category including a major category, a small category, or a number of a commodity or service. The trademark pattern information to be registered includes icons and/or graphic elements of the trademark to be registered. The classification method of the trademark categories to be registered is classified according to the Similar Goods and Services Classification Table.
S103,根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别;S103. Determine, according to the received graphic trademark information, a classification group of goods or services where the graphic trademark to be registered is located;
具体地,根据图形商标信息中,商标使用的商品和服务名称与每个分类组别中的每个商品和服务项目进行匹配,确定用户需使用的商品和服务所在的分类组别。Specifically, according to the graphic trademark information, the product and service name used by the trademark is matched with each commodity and service item in each classification group, and the classification group of the goods and services to be used by the user is determined.
如图2所示,进一步地,在根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别之前,所述方法还包括:S102,根据《类似商品和服务区分表》及类似商品和服务判断规则对相同或类似商品和服务进行重新分组,将任一商品和服务项目的类似商品和服务均归至同一组别。As shown in FIG. 2, further, before determining, according to the received graphic trademark information, a classification group of goods or services in which the graphic trademark is to be registered, the method further includes: S102, according to the similar goods and services. The Table and similar commodity and service judgment rules regroup the same or similar goods and services, and classify similar goods and services for any goods and services into the same group.
例如,第9类中0901小类的“电子出版物(可下载),可下载的手机铃音,可下载的音乐文件,可下载的影响文件”与第9类中0908小类的“唱片,录音带,录像带,CD盘(音像),盒式录像带,光盘(音像)”类似,则让他们进行重新分组放置到同一个分类组别中。For example, in the 9th category, the "Electronic Publications (downloadable), downloadable phone ringtones, downloadable music files, downloadable impact files" in the 0901 subcategory, and the "0908 subcategory" in the 9th category, Tapes, tapes, CDs (audio), cassettes, discs (audio) are similar, so they are regrouped into the same category group.
并将过往所有版本《类似商品和服务区分表》中与现有《类似商品和服务区分表》中的商品和服务项目相同或近似的项目也归至同一组别。The same or similar items in the previous "Similar Goods and Services Classification Table" and the existing "similar goods and services" table are also grouped into the same group.
例如,0901小类中的视频游戏卡与第九版以前的0908小类中的电视游戏卡类似,则归到同一组别。0901小类的计算圆尺与第十版以前的0902小类的计算尺类似,归到同一组别。For example, a video game card in the 0901 subclass is similar to a video game card in the previous 0908 subclass of the ninth edition, and falls into the same group. The calculation scale of the 0901 subclass is similar to the calculation rule of the previous 0902 subclass of the tenth edition, and belongs to the same group.
S104,搜索数据库中所述分类组别中存在的在先图形商标及其相关信息;针对每个分类组别中的商品和服务项目,搜索数据库中存在的所有在先图形商标及其相关信息。 S104: Search for a prior graphic trademark and related information existing in the classification group in the database; and search for all prior graphic trademarks and related information existing in the database for the commodities and service items in each classification group.
将所有现有公开商标的相关注册信息,全部放置在数据库中,对每个分类组别的每个商品项目进行搜索在先图形商标、注册人信息、法律状态等相关信息。All relevant registration information of all existing public trademarks are placed in the database, and each commodity item of each classification group is searched for related information such as the prior graphic trademark, the registrant information, and the legal status.
如图3所示,进一步地,在S104之后,S106之前,本发明的方法还包括:S105,删除法律状态显示为失效或无效的在先图形商标。具体地,若某一在先图形商标显示的法律状态已失效,例如驳回生效,被无效,未续展失效等,则将其排除,仅保留有效及审查中的在先文字商标及其相关信息。As shown in FIG. 3, further, after S104, before S106, the method of the present invention further includes: S105, deleting a prior graphic trademark whose legal status is displayed as invalid or invalid. Specifically, if the legal status displayed by a prior graphic trademark has expired, for example, the rejection is invalid, invalid, non-renewal invalid, etc., it is excluded, and only the prior word trademarks and related information in the valid and under review are retained. .
S106,基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似;该影像重合包括将图标进行任意角度旋转后再进行重合。S106. Determine whether the to-be-registered trademark is identical or similar to the previous graphic trademark one by one based on the image coincidence judgment; the image coincidence includes rotating the icon at an arbitrary angle and then overlapping.
相同或近似图形商标的判断标准根据商标法、商标法实施细则、商标审查及审理标准进行判断。若商标局有对《类似商品和服务区分表》、《商标法》、《商标法实施细则》、《商标审查及审理标准》进行修改和变更,则及时根据商标局修改相应的信息和判断规则。The judgment criteria for the same or similar graphic trademarks are judged according to the Trademark Law, the Trademark Law Implementation Rules, the trademark review and the trial criteria. If the Trademark Office has revised or changed the "Similar Goods and Services Classification Table", "Trademark Law", "Trademark Law Implementation Rules", "Trademark Review and Trial Standards", it shall promptly modify the corresponding information and judgment rules according to the Trademark Office. .
该基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似步骤由人工智能模块进行判断。The image-based coincidence judgment judges whether the proposed registered trademark and the prior graphic trademark are identical or approximate steps are judged by the artificial intelligence module.
如图4所示,人工智能模块的判断步骤如下:As shown in Figure 4, the steps of the artificial intelligence module are as follows:
S1061,分析图标的基本组成要素;S1061, analyzing basic elements of the icon;
S1062,将每个基本组成要素进行排列组合,形成一系列新的图标1、图标2、图标2……图标N,N为整数;S1062, arranging and combining each basic component to form a series of new icons 1, icons 2, icons 2, ... icons N, where N is an integer;
S1063,对图标1至图标N逐一与每一在先图形商标进行影像重合,得出重合度1,重合度2……重合度M;S1063, the icon 1 to the icon N are image-integrated with each of the preceding graphic trademarks one by one, and the coincidence degree 1, the coincidence degree 2, the degree of coincidence M is obtained;
S1064,按预定规则对重合度1至重合度M进行加权计算,得出注册成功概率,所述预定规则可根据用户的风险喜好进行调整。商标注册成功概率可以通过计算各个重合度的加权平均值得到。S1064: Perform a weighting calculation on the coincidence degree 1 to the coincidence degree M according to a predetermined rule to obtain a registration success probability, and the predetermined rule may be adjusted according to the user's risk preference. The probability of successful registration of a trademark can be obtained by calculating a weighted average of the coincidences.
S107,根据判断结果给出相应注册建议,并生成报告输出至用户终端。该 报告中包括所述图形商标注册成功概率。S107. Corresponding registration suggestions are given according to the judgment result, and the report is generated and output to the user terminal. The The report includes the probability of successful registration of the graphic trademark.
本发明的基于人工智能的图形商标可注册性判断方法,通过采用人工智能的算法对拟注册的商标进行检索分析,不容易漏检,而且分析结果较为客观,可大大提高企业注册商标的成功率,并节省企业商标注册的成本,具有较高的参考价值。The artificial intelligence-based graphic trademark registrability judgment method of the invention uses the artificial intelligence algorithm to search and analyze the trademark to be registered, which is not easy to miss detection, and the analysis result is more objective, which can greatly improve the success rate of the registered trademark of the enterprise. And save the cost of corporate trademark registration, with a high reference value.
以上所述仅是本发明的部分实施方式,应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。 The above is only a part of the embodiments of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims (10)

  1. 一种基于人工智能的图形商标可注册性判断方法,应用于服务器,其特征在于包括:A method for judging the registrability of a graphic trademark based on artificial intelligence, which is applied to a server, and is characterized in that:
    S101,接收用户终端发送的拟注册的图形商标信息;S101. Receive graphic trademark information to be registered sent by the user terminal.
    S103,根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别;S103. Determine, according to the received graphic trademark information, a classification group of goods or services where the graphic trademark to be registered is located;
    S104,搜索数据库中所述分类组别中存在的在先图形商标及其相关信息;S104. Search for a prior graphic trademark and related information existing in the classification group in the database;
    S106,基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似;S106. Determine whether the proposed registered trademark is identical or similar to the prior graphic trademark one by one based on the image coincidence judgment;
    S107,根据判断结果给出相应注册建议,并生成报告输出至用户终端。S107. Corresponding registration suggestions are given according to the judgment result, and the report is generated and output to the user terminal.
  2. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述拟注册的图形商标信息包括拟注册的商标图案信息,该商标使用的商品和服务名称和/或需注册的商标类别,所述商品类别包括大类、小类、或者商品或服务的编号。The artificial intelligence-based graphic trademark registrability judgment method according to claim 1, wherein the graphic trademark information to be registered includes trademark pattern information to be registered, a product and service name used by the trademark, and/or The type of trademark to be registered, including the category of the major category, subcategories, or goods or services.
  3. 根据权利要求2所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述拟注册的商标图案信息包括拟注册商标的图标和/或图形要素。The method for judging the registrability of a graphic trademark based on artificial intelligence according to claim 2, wherein the information of the logo pattern to be registered includes an icon and/or a graphic element of a trademark to be registered.
  4. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方法,其特征在于,在根据接收的所述图形商标信息,确定拟注册图形商标所在的商品或服务的分类组别之前,所述方法还包括:S102,根据《类似商品和服务区分表》及类似商品和服务判断规则对相同或类似商品进行重新分组,将任一商品和服务项目的类似商品和服务均归至同一组别。The method for judging the registrability of a graphic trademark based on artificial intelligence according to claim 1, wherein before determining the classification group of the goods or services in which the graphic trademark is to be registered, based on the received graphic trademark information, The method further includes: S102, regrouping the same or similar products according to the Similar Goods and Services Classification Table and similar commodity and service judgment rules, and classifying similar goods and services of any commodity and service item into the same group. .
  5. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方 法,其特征在于,所述搜索数据库中所述分类组别中存在的在先图形商标及其相关信息,具体包括:针对每个分类组别中的商品和服务项目,搜索数据库中存在的所有在先图形商标及其相关信息。Artificial intelligence-based graphic trademark registrability judgment party according to claim The method is characterized in that the prior graphic trademark and related information existing in the classification group in the search database specifically includes: searching for all the products existing in the database for the goods and service items in each classification group Prior graphic trademarks and related information.
  6. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述影像重合包括将图标进行任意角度旋转后再进行重合。The artificial intelligence-based graphic trademark registrability determining method according to claim 1, wherein the image overlapping comprises rotating the icon at an arbitrary angle and then overlapping.
  7. 根据权利要求1-6任一项所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述基于影像重合判断逐一判断拟注册商标与在先图形商标是否相同或近似步骤由人工智能模块进行判断。The method for judging the registrability of a graphic trademark based on artificial intelligence according to any one of claims 1 to 6, wherein the determining whether the proposed registered trademark is identical to the prior graphic trademark or the approximate step by the image coincidence determination is determined by The artificial intelligence module makes a judgment.
  8. 根据权利要求7所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述人工智能模块的判断步骤如下:The artificial intelligence-based graphic trademark registrability judging method according to claim 7, wherein the judging step of the artificial intelligence module is as follows:
    S1061,分析图标的基本组成要素;S1061, analyzing basic elements of the icon;
    S1062,将每个基本组成要素进行排列组合,形成一系列新的图标1、图标2、图标2……图标N,N为整数;S1062, arranging and combining each basic component to form a series of new icons 1, icons 2, icons 2, ... icons N, where N is an integer;
    S1063,对图标1至图标N逐一与每一在先图形商标进行影像重合,得出重合度1,重合度2……重合度M;S1063, the icon 1 to the icon N are image-integrated with each of the preceding graphic trademarks one by one, and the coincidence degree 1, the coincidence degree 2, the degree of coincidence M is obtained;
    S1064,按预定规则对重合度1至重合度M进行加权计算,得出注册成功概率,所述预定规则可根据用户的风险喜好进行调整。S1064: Perform a weighting calculation on the coincidence degree 1 to the coincidence degree M according to a predetermined rule to obtain a registration success probability, and the predetermined rule may be adjusted according to the user's risk preference.
  9. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方法,其特征在于,所述用户终端为智能手机、平板电脑、个人数字助理、智能穿戴设备或膝上型便携式计算机。The artificial intelligence-based graphic trademark registrability judging method according to claim 1, wherein the user terminal is a smart phone, a tablet computer, a personal digital assistant, a smart wearable device or a laptop portable computer.
  10. 根据权利要求1所述的基于人工智能的图形商标可注册性判断方法,其特征在于,在S104之后,S106之前,还包括:S105,删除法律状态显示为失效或无效的在先图形商标。 The artificial intelligence-based graphic trademark registrability judging method according to claim 1, wherein after S104, before S106, further comprising: S105, deleting a prior graphic trademark whose legal status is displayed as invalid or invalid.
PCT/CN2017/096245 2017-08-07 2017-08-07 Artificial intelligence-based figurative trademark registration possibility determining method WO2019028597A1 (en)

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