WO2019028613A1 - 商标监测方法及系统 - Google Patents

商标监测方法及系统 Download PDF

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WO2019028613A1
WO2019028613A1 PCT/CN2017/096279 CN2017096279W WO2019028613A1 WO 2019028613 A1 WO2019028613 A1 WO 2019028613A1 CN 2017096279 W CN2017096279 W CN 2017096279W WO 2019028613 A1 WO2019028613 A1 WO 2019028613A1
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trademark
similar
monitored
same
service
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PCT/CN2017/096279
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French (fr)
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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/CN2017/096279 priority Critical patent/WO2019028613A1/zh
Publication of WO2019028613A1 publication Critical patent/WO2019028613A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce

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  • the invention relates to the field of enterprise intellectual property management systems, in particular to a trademark monitoring method and system.
  • Another aspect of the invention also provides a trademark monitoring system.
  • a trademark monitoring method applied to a server comprising:
  • the trademark information to be monitored includes icon information of a trademark, a registration category, a commodity or service item name, and any combination of applicants.
  • the goods or service items of the newly-opened registered trademark are similar to the goods or service items of the trademark to be monitored, and specifically include:
  • any commodity or service item of the trademark to be monitored belongs to the same classification group as any commodity or service item of the newly disclosed trademark, the commodity or service is similar; otherwise, it is not similar.
  • the trademark contains text information, it is determined whether the new public registered trademark is the same as or similar to the trademark to be monitored, and specifically includes: matching the characters, and if the characters are the same, the same trademark; if pointing to the same object, It is basically the same trademark, otherwise the various possible situations are classified according to the judgment rules of similar trademarks in the "Trademark Review and Trial Standards"; each of the classifications is judged according to historical review data.
  • the trademark includes graphic information
  • the image-based coincidence judgment determines whether the to-be-registered trademark is identical or similar to the trademark to be monitored one by one, and specifically includes:
  • each basic component is arranged and combined to form a series of new icons 1, icons 2, icons 2, ... icons N, N is an integer;
  • 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 coincidence degree M is obtained;
  • S1074 Perform 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 risk preference of the user.
  • the image coincidence includes rotating the icon at an arbitrary angle and then overlapping.
  • a trademark monitoring system comprising:
  • a receiving module configured to acquire and store the trademark information to be monitored
  • a commodity or service judging module for judging whether the goods or service items of the newly-opened registered trademark are similar to the goods or service items of the trademark to be monitored;
  • the same or approximate judgment module configured to determine whether the newly disclosed registered trademark is the same as or similar to the trademark to be monitored
  • An output module for outputting the judgment result and corresponding suggestions.
  • the commodity or service judging module comprises:
  • a grouping module for regrouping the same or similar items in accordance with the Similar Goods and Services Classification Table and similar commodity and service judgment rules
  • a confirmation module configured to respectively determine a classification group of each of the goods to be monitored and the newly published registered trademark
  • a commodity or service judgment sub-module wherein if any commodity or service item of the trademark to be monitored belongs to the same classification group as any commodity or service item of the newly-opened registered trademark, the commodity or service is similar; similar.
  • the same or approximate judgment module is specifically used to match the characters, and if the characters are the same, the same trademark; if the same object, the same trademark; otherwise, according to the trademark review And the judgment rules of the approximate trademark in the Trial Standards classify various possible situations; each of the classifications is judged according to historical review data;
  • the same or approximate judgment module includes:
  • a factor decomposition module for analyzing basic elements of an icon
  • a reorganization module for arranging and combining each basic component to form a series of new icons 1, icons 2, icons 2, ... icons N, N being integers;
  • the image coincidence module is configured to image the icon 1 to the icon N one by one and each of the preceding graphic trademarks to obtain a coincidence degree 1, a coincidence degree 2, a degree of coincidence M;
  • the weighting module performs 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 can be adjusted according to the user's risk preference.
  • the trademark monitoring method of the invention adopts big data and artificial intelligence to regularly monitor newly-opened registered trademarks, which can effectively prevent trademarks similar to corporate trademarks from being registered by others, and is beneficial to protecting the brand value of enterprises, and at the same time, adopting big data.
  • Analysis with artificial intelligence saves a lot of manpower and the results are more valuable.
  • FIG. 1 is a flow chart showing a method of monitoring a trademark according to an embodiment of the present invention
  • FIG. 2 is a flow chart showing whether a commodity or a service item is similarly judged according to an embodiment of the present invention
  • FIG. 3 is a flow chart showing the same or approximate judgment of a graphic trademark according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural view of a trademark detecting system according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a commodity or service judging module according to an embodiment of the present invention.
  • Figure 6 is an identical or approximate decision module in accordance with 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.
  • a trademark monitoring method of the present invention is applied to a server, which includes:
  • the trademark information to be monitored includes icon information of the trademark, a registration category, a product or service item name, and any combination of the applicants.
  • the user inputs the trademark information that has been registered or registered in the terminal through the terminal, and the terminal sends the information to the server, and the server stores the information and joins the monitoring list.
  • the server periodically searches for newly published registered trademarks according to the time interval set by the user.
  • the registered trademark may be a trademark in the registration that has just been accepted for public disclosure, or may be a trademark of the preliminary examination announcement.
  • determining whether the goods or service items of the newly-opened registered trademark are similar to the goods or service items of the trademark to be monitored includes:
  • 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.
  • S1053 respectively determining a classification group of each commodity or service item in the to-be-monitored trademark and the newly-opened registered trademark; determining which classification group each commodity or service item in the to-be-monitored trademark belongs to, and determining new Which classification group each commodity or service item belongs to in the publicly registered trademark do not.
  • the trademark contains text information, it is determined whether the new public registered trademark is the same as or similar to the trademark to be monitored, and specifically includes: matching the characters, if the characters are the same, the same trademark; if pointing to the same object, the basic The same trademark, otherwise the various possible situations are classified according to the judgment rules of similar trademarks in the "Trademark Review and Trial Standards"; each of the classifications is judged according to historical review data.
  • the brand name entered by the user is For the commodity item “tea”, the server searched for the proposed registered word mark.
  • the existing word mark already exists on the “tea” item. Then, it is determined that the same prior word mark exists in the intended registered word mark, and the recommendation that the registration is unsuccessful is given, and the related information and the registration suggestion of the prior word mark are formed into a report output.
  • the user inputs the name “Rose” to be registered for the commodity item “Perfume”, and finds that there is a prior trademark “Rose” on the “Perfume” commodity item, because “Rose” and “Rose” "The literal meaning is the same, pointing to the same thing, giving a low probability of registration success, and outputting the relevant information and registration suggestions of the prior word mark.
  • the trademark includes graphic information, it is determined whether the newly-opened registered trademark is the same as or similar to the trademark to be monitored, and specifically determines whether the proposed registered trademark is identical or similar to the trademark to be monitored based on the image coincidence judgment; the image coincidence includes Rotate the icon at any angle before overlapping.
  • the image-based coincidence judgment judges whether the proposed trademark is identical or similar to the trademark to be monitored one by one, and specifically includes:
  • each basic component is arranged and combined to form a series of new icons 1, icons 2, icons 2, ... icons N, N is an integer;
  • 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 coincidence degree M is obtained;
  • S1074 Perform 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 risk preference of the user.
  • Another aspect of the invention provides a trademark monitoring system comprising:
  • a receiving module configured to acquire and store the trademark information to be monitored
  • a commodity or service judging module for judging whether the goods or service items of the newly-opened registered trademark are similar to the goods or service items of the trademark to be monitored;
  • the same or approximate judgment module configured to determine whether the newly disclosed registered trademark is the same as or similar to the trademark to be monitored
  • An output module for outputting the judgment result and corresponding suggestions.
  • the commodity or service judging module comprises:
  • a grouping module for regrouping the same or similar items in accordance with the Similar Goods and Services Classification Table and similar commodity and service judgment rules
  • a confirmation module configured to respectively determine a classification group of each of the goods to be monitored and the newly published registered trademark
  • any commodity or service item of the trademark to be monitored belongs to the same classification group as any commodity or service item of the newly-opened registered trademark, the commodity or service category Similar; otherwise it is not similar.
  • the same or approximate judgment module is specifically used to match the characters, and if the characters are the same, the same trademark; if pointing to the same object, the same trademark; otherwise, according to the trademark review And the judgment rules of the approximate trademark in the Trial Standards classify various possible situations; each of the classifications is judged according to historical review data;
  • the same or approximate judgment module includes:
  • a factor decomposition module for analyzing basic elements of an icon
  • a reorganization module for arranging and combining each basic component to form a series of new icons 1, icons 2, icons 2, ... icons N, N being integers;
  • the image coincidence module is configured to image the icon 1 to the icon N one by one and each of the preceding graphic trademarks to obtain a coincidence degree 1, a coincidence degree 2, a degree of coincidence M;
  • the weighting module performs 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 can be adjusted according to the user's risk preference.
  • the trademark monitoring method of the present invention uses big data and artificial intelligence to regularly monitor newly-opened registered trademarks, which can effectively prevent trademarks similar to corporate trademarks from being registered by others, and help enterprises take legal measures as early as possible to hinder the same or similar trademarks. Registration helps protect the brand value of the company. At the same time, the analysis of big data and artificial intelligence saves a lot of manpower and the results are more valuable.

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Abstract

一种商标监测方法，应用于服务器，其包括：获取并存储待监测商标信息（S101）；定期对新公开注册商标进行检索监测（S103）；判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似（S105）；判断所述新公开注册商标与所述待监测商标是否相同或近似（S107）；输出判断结果及相应的建议（S109）。该商标监测方法，采用大数据和人工智能，定期对新公开的注册商标进行监测，可以有效阻止跟企业商标近似的商标被他人注册，帮助企业尽早采取法律措施，阻碍相同或近似商标的注册，有利于保护企业的品牌价值，同时，采用大数据和人工智能进行分析，节省了大量人力，结果也更具有参考价值。

Description

商标监测方法及系统 技术领域
本发明涉及企业知识产权管理系统领域，特别涉及一种商标监测方法及系统。
背景技术
近年来傍名牌的现象越来越严重，通常的商标监测采用人工方式进行，具有较大的主观性和随意向，费时费力也容易监控不到位，致使企业未能及时采取措施，给企业带来巨大损失。
发明内容
鉴于此，有必要提供一种商标监测方法。其通过采用大数据和人工智能的算法对新公开的注册商标进行监测，不容易漏检，而且分析结果较为客观，可更有效防止近似商标被注册并及时采取措施阻止其注册，有利于企业品牌价值的保护。
本发明另一方面还提供一种商标监测系统。
本发明的目的通过以下技术方案实现：
一种商标监测方法，应用于服务器，其包括：
S101，获取并存储待监测商标信息；
S103，定期对新公开注册商标进行检索监测；
S105，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
S107，判断所述新公开注册商标与所述待监测商标是否相同或近似；
S109，输出判断结果及相应的建议。
优选地，所述待监测商标信息包括商标的图标信息、注册类别、商品或服务项目名称、申请人中的任意组合。
优选地，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似，具体包括：
S1051，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；
S1053，分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；
S1055，若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类似；反之则不类似。优选地，若该商标包含文字信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体包括：对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断。
优选地，若该商标包含图形信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体为基于影像重合判断逐一判断拟注册商标与待监测商标是否相同或近似；
优选地，所述基于影像重合判断逐一判断拟注册商标与待监测商标是否相同或近似，具体包括：
S1071，分析图标的基本组成要素；
S1072，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；
S1073，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；
S1074，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。
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。
一种商标监测系统，其包括：
接收模块，用于获取并存储待监测商标信息；
监测模块，用于定期对新公开注册商标进行检索监测；
商品或服务判断模块，用于判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
相同或近似判断模块，用于判断所述新公开注册商标与所述待监测商标是否相同或近似；
输出模块，用于输出判断结果及相应的建议。
优选地，所述商品或服务判断模块包括：
分组模块，用于根据《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；
确认模块，用于分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；
商品或服务判断子模块，用于若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类似；反之则不类似。
优选地，若该商标包含文字信息，则所述相同或近似判断模块具体用于对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断；
若该商标包含图形信息，所述相同或近似判断模块包括：
要素分解模块，用于分析图标的基本组成要素；
重组模块，用于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；
影像重合模块，用于对图标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；
加权模块，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。
本发明的商标监测方法，采用大数据和人工智能，定期对新公开的注册商标进行监测，可以有效阻止跟企业商标近似的商标被他人注册，有利于保护企业的品牌价值，同时，采用大数据和人工智能进行分析，节省了大量人力，结果也更具有参考价值。
附图说明
图1是本发明一实施例的商标监测方法的流程图示意图；
图2是本发明一实施例商品或服务项目是否类似判断的流程示意图；
图3是本发明一实施例的图形商标相同或近似判断的流程示意图；
图4是本发明一实施例的商标检测系统的结构示意图；
图5是本发明一实施例的商品或服务判断模块的结构示意图；
图6是本发明一实施例的相同或近似判断模块。
具体实施方式
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。
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。
如图1所示，本发明的一种商标监测方法，应用于服务器，其包括：
S101，获取并存储用户终端发送的待监测商标信息；
所述待监测商标信息包括商标的图标信息、注册类别、商品或服务项目名称、申请人中的任意组合。用户通过终端输入自身已注册或者注册中的商标信息，终端发送给服务器，服务器存储该信息，并加入监测列表。
S103，定期对新公开注册商标进行检索监测；
服务器按照用户设定的时间间隔，定期检索新公开的注册商标，该注册商标可以是刚刚受理公开的注册中的商标，也可以是初审公告的商标。
S105，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
具体地，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似包括：
S1051，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；
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。
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。
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。
S1053，分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；确定所述待监测商标中每个商品或服务项目分别属于哪个分类组别，并确定新公开的注册商标中每个商品或服务项目分别属于哪个分类组 别。
S1055，若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类似；反之则不类似。
当两个商品或服务项目归属于同一个分类组别时，则其商品或服务项目类似，进一步进行商标相同或近似的判断。反之，不类似，直接输出商品或服务项目不类似，不属于相同或近似商标，并给出相关建议，如。
S107，判断所述新公开注册商标与所述待监测商标是否相同或近似；
若该商标包含文字信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体包括：对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断。
例如，用户输入的商标名称为
Figure PCTCN2017096279-appb-000001
用于商品项目“茶叶”，服务器搜索到该拟注册文字商标在“茶叶”项目上已存在在先文字商标
Figure PCTCN2017096279-appb-000002
则判定给出拟注册文字商标存在相同的在先文字商标，给出注册不成功的建议，并将该在先文字商标的相关信息及注册建议形成报告输出。
再例如，用户输入拟注册商标名称“玫瑰”，用于商品项目“香水”，经检索发现在“香水”商品项目上存在在先商标“玫瑰花”，则，因为“玫瑰”与“玫瑰花”的字面含义相同，指向同一种东西，给出注册成功可能性很低的建议，并将该在先文字商标的相关信息及注册建议形成报告输出。
若该商标包含图形信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体为基于影像重合判断逐一判断拟注册商标与待监测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。
所述基于影像重合判断逐一判断拟注册商标与待监测商标是否相同或近似，具体包括：
S1071，分析图标的基本组成要素；
S1072，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；
S1073，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；
S1074，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。
S109，输出判断结果及相应的建议。
本发明另一方面提供一种商标监测系统，其包括：
接收模块，用于获取并存储待监测商标信息；
监测模块，用于定期对新公开注册商标进行检索监测；
商品或服务判断模块，用于判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
相同或近似判断模块，用于判断所述新公开注册商标与所述待监测商标是否相同或近似；
输出模块，用于输出判断结果及相应的建议。
优选地，所述商品或服务判断模块包括：
分组模块，用于根据《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；
确认模块，用于分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；
商品或服务判断子模块，用于若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类 似；反之则不类似。
进一步地，若该商标包含文字信息，则所述相同或近似判断模块具体用于对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断；
进一步地，若该商标包含图形信息，所述相同或近似判断模块包括：
要素分解模块，用于分析图标的基本组成要素；
重组模块，用于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；
影像重合模块，用于对图标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；
加权模块，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。
本发明的商标监测方法，采用大数据和人工智能，定期对新公开的注册商标进行监测，可以有效阻止跟企业商标近似的商标被他人注册，帮助企业尽早采取法律措施，阻碍相同或近似商标的注册，有利于保护企业的品牌价值，同时，采用大数据和人工智能进行分析，节省了大量人力，结果也更具有参考价值。
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。

Claims (10)

  1. 一种商标监测方法，应用于服务器，其特征在于包括：
    S101，获取并存储待监测商标信息；
    S103，定期对新公开注册商标进行检索监测；
    S105，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
    S107，判断所述新公开注册商标与所述待监测商标是否相同或近似；
    S109，输出判断结果及相应的建议。
  2. 根据权利要求1所述的商标监测方法，其特征在于，所述待监测商标信息包括商标的图标信息、注册类别、商品或服务项目名称、申请人中的任意组合。
  3. 根据权利要求1所述的商标监测方法，其特征在于，判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似，具体包括：
    S1051，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；
    S1053，分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；
    S1055，若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类似；反之则不类似。
  4. 根据权利要求1所述的商标监测方法，其特征在于，若该商标包含文字信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体包括：对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断。
  5. 根据权利要求1所述的商标监测方法，其特征在于，若该商标包含 图形信息，则判断所述新公开注册商标与所述待监测商标是否相同或近似，具体为基于影像重合判断逐一判断拟注册商标与待监测商标是否相同或近似；
  6. 根据权利要求5所述的商标监测方法，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待监测商标是否相同或近似，具体包括：
    S1071，分析图标的基本组成要素；
    S1072，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；
    S1073，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；
    S1074，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。
  7. 根据权利要求5所述的商标监测方法，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。
  8. 一种商标监测系统，其特征在于，包括：
    接收模块，用于获取并存储待监测商标信息；
    监测模块，用于定期对新公开注册商标进行检索监测；
    商品或服务判断模块，用于判断所述新公开注册商标的商品或服务项目与所述待监测商标的商品或服务项目是否类似；
    相同或近似判断模块，用于判断所述新公开注册商标与所述待监测商标是否相同或近似；
    输出模块，用于输出判断结果及相应的建议。
  9. 根据权利要求8所述的商标监测系统，其特征在于，所述商品或服务判断模块包括：
    分组模块，用于根据《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；
    确认模块，用于分别确定所述待监测商标及新公开的注册商标中每个商品或服务项目的分类组别；
    商品或服务判断子模块，用于若所述待监测商标的任一商品或服务项目与新公开注册商标的任一商品或服务项目属于同一分类组别，则该商品或服务类似；反之则不类似。
  10. 根据权利要求8或9所述的商标监测系统，其特征在于，
    若该商标包含文字信息，则所述相同或近似判断模块具体用于对文字进行匹配，若文字相同则为相同商标；若指向同一物体，则为基本相同商标，否则根据《商标审查及审理标准》中近似商标的判断规则对各种可能情况进行分类；对每个所述分类按照历史审查数据进行判断；
    若该商标包含图形信息，所述相同或近似判断模块包括：
    要素分解模块，用于分析图标的基本组成要素；
    重组模块，用于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；
    影像重合模块，用于对图标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；
    加权模块，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。
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CN101127101A (zh) * 2006-08-18 2008-02-20 鸿富锦精密工业（深圳）有限公司 商标信息监控系统及方法
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