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Automated Trademark Monitoring Systems and IP Protection

Automated Trademark Monitoring Systems and IP Protection
自动化商标监控系统和知识产权保护
批准号:
720516
负责人:
金额:
$5.48万
依托单位:
依托单位国家:
英国
项目类别:
GRD Development of Prototype
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

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中文摘要
翻译
商标为所有人提供了宝贵的知识产权。侵权是世界范围内一个日益严重的问题,网上有很多这样的活动。在eBay、阿里巴巴、淘宝等网站上销售商品边缘和假冒商品是众所周知的,也是针对欧盟卖家和网站运营商的法律行动的对象(参见蒂芙尼诉eBay)。英国知识产权局在2013年举办了一场名为“新技术如何能显著降低侵权产品在网上的可及性”的竞赛。我们有一个全自动“突破”系统的概念证明(POC),它可以通过任何销售清单上的所有商标的相似性来监控侵权行为,每个商标的成本微乎其微。它使用机器学习来识别销售清单中的产品/品牌名称,并使用我们的美国专利商标相似软件(参见我们的网站www.traverarkdirect.co.uk)将这些产品/品牌名称与所有相关商标的听觉和视觉相似性进行比较。这种比较比其他技术(如莱文斯坦)要复杂得多,并产生具有更细粒度结果的距离测量,以自动确定侵权程度。拟议的项目将基于POC开发出大容量、可扩展的原型。还将为第二个功能开发额外的新算法,该功能用于区分合法转售和假冒的相同品牌商品。这项开发工作需要原型将产生的大型数据集,但POC无法。
英文摘要
Trade marks offer valuable Intellectual Property rights to owners. Infringement is anincreasing problem worldwide with much such activity online. The sale of trade markinfringing and counterfeit items on websites such as Ebay, Alibaba, Taobao, is well knownand has been the subject of legal action both against sellers and website operators in the EU(see Tiffany v Ebay). The UK's Intellectual Property Office ran a 2013 competition 'How cannew technology..(reduce)..markedly the accessibility of infringing products online'.We have a proof of concept (POC) for a fully automated 'break-through' system that canmonitor for infringement through similarity of all trade marks by any sales listing for aminuscule cost per mark. Using machine learning to identify product / brand names in saleslistings it compares these for aural and visual similarity with all relevant trade marks usingour US patented trade mark similarity software (see our site www.trademarkdirect.co.uk).This comparison is considerably more sophisticated than other techniques (e.g. Levenstein)and produces distance measures with much more finely grained results to automaticallyestablish the degree of infringement.The proposed project will see development of a high volume, scaleable prototype based on thePOC. Additional new algorithms will be developed for a second function that distinguishesbetween identically branded items which are legitimate resales and those that are counterfeit.This development work requires the large data sets the prototype will produce, but the POCcannot.
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