Constructing a Decision-Making System Using Patent Document Analysis

Takashi Yonemura, Yusuke Matsumoto, Aiko Suge, Hiroshi Takahashi

研究成果: Conference contribution

抄録

In this study, we propose a new system to support corporate decision-making using patent documents. For R&D-oriented pharmaceutical companies, the creation of new drugs is indispensable for survival, and patents, the source of R&D, are an important factor in the creation of new drugs. In this study, we attempted to clarify the quantification of technical information in pharmaceutical companies by vectorizing the patent database DWPI using Sparse Composite Document Vectors (SCDV) for pharmaceutical companies in Japan. As a result of the analysis, we found the possibility of considering the strategy of pharmaceutical companies by visualizing patent documents.

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275-283
ページ数9
ISBN(印刷版)9789811629938
DOI
出版ステータスPublished - 2021
外部発表はい
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 142021 6 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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