TY - GEN
T1 - A study on visualization of technology transfer using distance based patent network analysis
AU - Lee, Juhyun
AU - Lee, Junseok
AU - Kang, Ji Ho
AU - Park, Sangsung
AU - Jun, Sunghae
AU - Jang, Dongsik
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03031152). This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017R1A2B1010208). This work was supported by the BK 21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University). This research was supported by the Commercialization Promotion Agency for R&D Outcomes(COMPA) funded by the Ministry of Science and ICT(MSIT).[2019K000305]
PY - 2019/8/23
Y1 - 2019/8/23
N2 - Technology transfer refers to the transfer of patents from legal holders to others through joint research, mergers and acquisitions. Transferred patents apply to IP-R&D of received companies. In particularly, companies actively carrying out technology transfer construct a patent portfolio strategy through it. Recently, companies that building patent portfolio strategy explore similar technologies to protect theirs. In past, a qualitative method has been used for the above process. However, the method consumes a lot of time and money. Therefore, in this study, we propose a method to discover patents similar to each other by using data mining. Also visualizing the patent portfolio strategy through the information of those patents. To do this, we collected Google’s patents for conducting a case study. Collected patents were projected onto a semantic space through a distributed representation of documents. It then used the distance information of the projected patents to draw the network. As a result, it was possible to visualize Google’s patent portfolio strategy.
AB - Technology transfer refers to the transfer of patents from legal holders to others through joint research, mergers and acquisitions. Transferred patents apply to IP-R&D of received companies. In particularly, companies actively carrying out technology transfer construct a patent portfolio strategy through it. Recently, companies that building patent portfolio strategy explore similar technologies to protect theirs. In past, a qualitative method has been used for the above process. However, the method consumes a lot of time and money. Therefore, in this study, we propose a method to discover patents similar to each other by using data mining. Also visualizing the patent portfolio strategy through the information of those patents. To do this, we collected Google’s patents for conducting a case study. Collected patents were projected onto a semantic space through a distributed representation of documents. It then used the distance information of the projected patents to draw the network. As a result, it was possible to visualize Google’s patent portfolio strategy.
KW - IP-strategy
KW - Patent analysis
KW - Patent map
KW - Technology transfer
UR - http://www.scopus.com/inward/record.url?scp=85074282479&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074282479&partnerID=8YFLogxK
U2 - 10.1145/3357419.3357448
DO - 10.1145/3357419.3357448
M3 - Conference contribution
AN - SCOPUS:85074282479
T3 - ACM International Conference Proceeding Series
SP - 66
EP - 69
BT - ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management
PB - Association for Computing Machinery
T2 - 9th International Conference on Information Communication and Management, ICICM 2019
Y2 - 23 August 2019 through 26 August 2019
ER -