Constructing a Decision-Making System Using Patent Document Analysis

Takashi Yonemura, Yusuke Matsumoto, Aiko Suge, Hiroshi Takahashi

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

Abstract

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.

Original languageEnglish
Title of host publicationAgents and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications 2021 - Proceedings of 15th KES International Conference, KES-AMSTA 2021
EditorsG. Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages275-283
Number of pages9
ISBN (Print)9789811629938
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021 - Virtual, Online
Duration: 2021 Jun 142021 Jun 16

Publication series

NameSmart Innovation, Systems and Technologies
Volume241
ISSN (Print)2190-3018
ISSN (Electronic)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

Keywords

  • Patent
  • Pharmaceutical company sparse composite document vectors
  • Strategy
  • Technology

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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