Abstract
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.
Original language | English |
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Title of host publication | ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management |
Publisher | Association for Computing Machinery |
Pages | 66-69 |
Number of pages | 4 |
ISBN (Electronic) | 9781450371889 |
DOIs | |
Publication status | Published - 2019 Aug 23 |
Event | 9th International Conference on Information Communication and Management, ICICM 2019 - Prague, Czech Republic Duration: 2019 Aug 23 → 2019 Aug 26 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 9th International Conference on Information Communication and Management, ICICM 2019 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 19/8/23 → 19/8/26 |
Bibliographical note
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]
Publisher Copyright:
© 2019 Association for Computing Machinery.
Keywords
- IP-strategy
- Patent analysis
- Patent map
- Technology transfer
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications