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

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI:10.1145/3357419.3357448

Juhyun Lee, Junseok Lee, J. Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang

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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.

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基于距离的专利网络分析技术转移可视化研究

技术转让是指通过联合研究、并购等方式，将专利从合法持有人转移给他人。转让专利适用于受让方的知识产权研发。特别是积极进行技术转让的企业，通过技术转让构建专利组合战略。最近，建立专利组合战略的公司也在探索类似的技术来保护自己的专利。过去，对上述过程采用定性方法。然而，这种方法耗费了大量的时间和金钱。因此，在本研究中，我们提出了一种利用数据挖掘的方法来发现彼此相似的专利。并通过专利信息对专利组合策略进行可视化。为此，我们收集了谷歌的专利来进行案例研究。通过文档的分布式表示，将收集到的专利投影到语义空间。然后利用投影专利的距离信息绘制网络。这样一来，谷歌的专利组合战略就可以形象化了。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 9th International Conference on Information Communication and Management

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