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Computer supported technology function matrix construction for patent data analytics
Conference paper

Computer supported technology function matrix construction for patent data analytics

Allen C.C. Jhuang, John J.H. Sun, Amy J.C. Trappey, Charles V. Trappey and Usharani Hareesh Govindarajan
Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, pp.457-462
10/2017

Abstract

Internet of Things (IoT);patent analysis;technology function matrix (TFM) Computer Networks and Communications Computer Science Applications

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.

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