完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Jhuang, Allen C. C. | en_US |
dc.contributor.author | Trappey, Charles V. | en_US |
dc.contributor.author | Sun, John J. H. | en_US |
dc.contributor.author | Govindarajan, Usharani Hareesh | en_US |
dc.contributor.author | Trappey, Amy J. C. | en_US |
dc.date.accessioned | 2018-08-21T05:57:06Z | - |
dc.date.available | 2018-08-21T05:57:06Z | - |
dc.date.issued | 2017-01-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/147058 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | patent analysis | en_US |
dc.subject | technolo function matrix (TFM) | en_US |
dc.subject | Internet of Things (Ion) | en_US |
dc.title | Computer Supported Technology Function Matrix Construction for Patent Data Analytics | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD) | en_US |
dc.citation.spage | 457 | en_US |
dc.citation.epage | 462 | en_US |
dc.contributor.department | 管理科學系 | zh_TW |
dc.contributor.department | Department of Management Science | en_US |
dc.identifier.wosnumber | WOS:000426945600077 | en_US |
顯示於類別: | 會議論文 |