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Computer Supported Technology Function Matrix Construction for Patent Data Analytics

机译:专利数据分析的计算机支持的技术功能矩阵构造

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Patent analysis helps companies understand their intellectual property (IP) portfolio and develop competitive marketing and management strategies. A Technology Function Matrix (TFM) is a critical approach for patent data analytics. This paper develops a generic computer supported TFM construction methodology that can be used for creating patent technical maps for any given domain. The approach is adopted for the case of the Internet of Things (IoT) patent technology analysis in the context of Industry 4.0 [1]. The aim of this article is to provide the methodology and analysis methods for IoT patent TFM and introduce computer supported IP and patent knowledge e-discovery.
机译:专利分析有助于公司了解其知识产权(IP)组合,并培养竞争性营销和管理策略。技术功能矩阵(TFM)是专利数据分析的关键方法。本文开发了一种通用的计算机支持的TFM施工方法,可用于为任何给定域创建专利技术映射。在行业背景下的事物互联网(物联网)专利技术分析的情况下采用了这种方法。本文的目的是为IOT专利TFM提供方法和分析方法,并引入计算机支持的IP和专利知识电子发现。

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