Title: Computer Supported Technology Function Matrix Construction for Patent Data Analytics
Authors: 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
Keywords: patent analysis;technolo function matrix (TFM);Internet of Things (Ion)
Issue Date: 1-Jan-2017
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 (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
Journal: 2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
Begin Page: 457
End Page: 462
Appears in Collections:Conferences Paper