基于专利信息分析的专利隐藏公司预测研究

Youngho Kim, Junseok Lee, J. Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang
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引用次数: 0

摘要

通过现有技术检索可以建立有效的研发战略。现有技术检索旨在确定特定技术领域的主要申请人,主要使用专利进行检索。然而,一些公司为了避免暴露,将其专利隐藏为并购或其他股份最多的公司。这类专利隐藏公司的实际专利所有人很难确定。因此,专利隐藏公司阻碍了成功的现有技术检索。为了解决这一问题,本文提出了一个利用专利文本信息和专利定量指标预测专利隐藏公司的模型。作为实验数据,使用了在USPTO注册的N项屏幕技术专利。实验的结果是,Cleversafe被发现是IBM的专利隐藏公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Prediction of Patent Hiding Company Using Patent Information Analysis
Establishment of an effective R&D strategy can be achieved through Prior art search. Prior art search is aimed at identifying major applicants in a specific technology field and is mainly carried out using patents. However, some companies hide their patents as M&A or other companies with most shares in order to avoid exposure. It is difficult to identify the actual owners of patents of such patent hiding companies. Thus, patent hiding companies hinder successful prior art search. To solve this problem, this paper proposes a model for predicting patent hiding companies by using text information and quantitative indicators of patents. As experimental data, N screen technology patents registered in USPTO are used. As a result of the experiment, Cleversafe was found to be IBM's patent hiding company.
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