The Visualization of Innovation Pathway Based on Patent Data—Comparison Between Japan and America

Zhiyan Chen, Yusuke Matsumoto, Aiko Suge, Hiroshi Takahashi

研究成果: Conference contribution

抄録

Innovation trends are a crucial factor in determining one country’s industrial development, and with the progress of modern machine learning technology, many are studying patent document analysis. People consider patents to contain important information for analyzing the innovation process, but patents contain much complicated jargon, and the methods for extracting information were limited. The authors applied the document analysis and visualization method newly proposed in the previous research and tried to compare the innovation process for patent documents as a whole within a certain period between Japan and the United States. As a result, we realized that in the 15 years, the topic vibration in Japan is more stable than in the US, and the contents in US patents are more concentrated than those in Japan.

本文言語English
ホスト出版物のタイトルAgents and Multi-Agent Systems
ホスト出版物のサブタイトルTechnologies and Applications 2021 - Proceedings of 15th KES International Conference, KES-AMSTA 2021
編集者G. Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
出版社Springer Science and Business Media Deutschland GmbH
ページ265-273
ページ数9
ISBN(印刷版)9789811629938
DOI
出版ステータスPublished - 2021
イベント15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021 - Virtual, Online
継続期間: 2021 6月 142021 6月 16

出版物シリーズ

名前Smart Innovation, Systems and Technologies
241
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Conference

Conference15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021
CityVirtual, Online
Period21/6/1421/6/16

ASJC Scopus subject areas

  • 決定科学(全般)
  • コンピュータ サイエンス(全般)

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