標題: Computer Supported Technology Function Matrix Construction for Patent Data Analytics
作者: Jhuang, Allen C. C.
Trappey, Charles V.
Sun, John J. H.
Govindarajan, Usharani Hareesh
Trappey, Amy J. C.
管理科學系
Department of Management Science
關鍵字: patent analysis;technolo function matrix (TFM);Internet of Things (Ion)
公開日期: 1-一月-2017
摘要: 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 (loT) patent technology analysis in the context of Industry 4.0 111. The aim of this article is to provide the methodology and analysis methods for loT patent TFM and introduce computer supported IP and patent knowledge e -discovery.
URI: http://hdl.handle.net/11536/147058
期刊: 2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
起始頁: 457
結束頁: 462
顯示於類別:會議論文