A Study on Visualization of Technology Transfer using Distance based Patent Network Analysis

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.