Study on the prediction of patent hiding company using patent information analysis

Youngho Kim, Junseok Lee, Jiho Kang, Sangsung Park, Sunghae Jun, Dongsik Jang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management
PublisherAssociation for Computing Machinery
Pages123-126
Number of pages4
ISBN (Electronic)9781450371889
DOIs
Publication statusPublished - 2019 Aug 23
Event9th International Conference on Information Communication and Management, ICICM 2019 - Prague, Czech Republic
Duration: 2019 Aug 232019 Aug 26

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Information Communication and Management, ICICM 2019
CountryCzech Republic
CityPrague
Period19/8/2319/8/26

Keywords

  • Latent Semantic Analysis
  • Patent Hiding Company
  • Patent Information Analysis
  • Prior Art Search

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Study on the prediction of patent hiding company using patent information analysis'. Together they form a unique fingerprint.

  • Cite this

    Kim, Y., Lee, J., Kang, J., Park, S., Jun, S., & Jang, D. (2019). Study on the prediction of patent hiding company using patent information analysis. In ICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management (pp. 123-126). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3357419.3357447