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, Usharani Hareesh Govindarajan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017
EditorsJean-Paul Barthes, Junzhou Luo, Weiming Shen, Nguyen Hoang Thuan, Jianming Yong, Pedro Antunes
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages457-462
Number of pages6
ISBN (Electronic)9781509061990
DOIs
StatePublished - 12 Oct 2017
Event21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017 - Wellington, New Zealand
Duration: 26 Apr 201728 Apr 2017

Publication series

NameProceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017

Conference

Conference21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017
CountryNew Zealand
CityWellington
Period26/04/1728/04/17

Keywords

  • Internet of Things (IoT)
  • patent analysis
  • technology function matrix (TFM)

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