Fundamental study of a technology search and creation model that mimics the patent examination process

• Project/Area Number: 19K12116
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61030:Intelligent informatics-related
• Research Institution: Aichi Institute of Technology (2022-2023); Nagaoka University of Technology (2019-2021)
• Principal Investigator: Hirofumi Nonaka 愛知工業大学, 経営学部, 准教授 (70544724)
• Co-Investigator(Kenkyū-buntansha): 河野 誠也 国立研究開発法人理化学研究所, 情報統合本部, 特別研究員 (20909139)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Project Status: Completed (Fiscal Year 2023)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2021: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: 特許解析 / 技術探索 / 自然言語処理 / 機械学習 / テキストマイニング / 特許情報解析 / グラフベースキーワード抽出 / 時系列予測 / 引用ネットワーク解析 / 格解析 / 特許検索 / ネットワーク埋め込み

Outline of Research at the Start

本申請では基礎的検討として，「構成要件への分割」，「引用ネットワーククラスタリング」，「構成要件置換可能性判定」についての研究を行う．

Outline of Final Research Achievements

In this study, we conducted a basic study of a technology search and creation model that mimics the patent examination process. In particular, we developed (1) a method for identifying important technologies that serve as the basis for technology search and creation, and (2) a method for creating technologies by integrating important technologies that serve as the basis for technology search and creation.

Academic Significance and Societal Importance of the Research Achievements

本研究は，知財に関連する学術分野のみならず研究開発・知財の実務でも活用できるものであり学術的・社会的意義は大きい．

Research Products

• [Journal Article] A study on patent term prediction by survival time analysis using neural hazard model (2024)
  • Author(s): Marusaki Koji、Nakai Kensei、Kataoka Shotaro、Kawano Seiya、Hentona Asahi、Sakumoto Takeshi、Yamamoto Yuta、Mori Kaede、Nonaka Hirofumi
  • Journal Title: Technological Forecasting and Social Change Volume: 203 Pages: 123390-123390
  • DOI: 10.1016/j.techfore.2024.123390
  • Peer Reviewed
• [Journal Article] Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks (2024)
  • Author(s): Sakumoto Takeshi、Hayashi Teruaki、Sakaji Hiroki、Nonaka Hirofumi
  • Journal Title: IEEE Access Volume: 12 Pages: 40213-40224
  • DOI: 10.1109/access.2024.3375750
  • Peer Reviewed / Open Access
• [Journal Article] An analytical investigation of body parts more susceptible to aging and composition changes using statistical hypothesis testing (2024)
  • Author(s): Mori Masaya、Flores Roberto Gonzalez、Kamimura Hiroteru、Yamaura Kentaro、Nonaka Hirofumi
  • Journal Title: Healthcare Analytics Volume: 5 Pages: 100284-100284
  • DOI: 10.1016/j.health.2023.100284
  • Peer Reviewed
• [Journal Article] Development of Fabrication Techniques for Magneto-Optical Diffractive Deep Neural Networks (2023)
  • Author(s): Sakaguchi Hotaka、Fujita Takumi、Zhang Jian、Sumi Satoshi、Awano Hiroyuki、Nonaka Hirofumi、Ishibashi Takayuki
  • Journal Title: IEEE Transactions on Magnetics Volume: 59 Issue: 11 Pages: 1-4
  • DOI: 10.1109/tmag.2023.3281842
  • Peer Reviewed
• [Journal Article] Improving work detection by segmentation heuristics pre-training on factory operations video (2022)
  • Author(s): Shotaro Kataoka, Tetsuro Ito, Genki Iwaka, Masashi Oba, Hirofumi Nonaka
  • Journal Title: Plos one Volume: 17-6 Issue: 6 Pages: e0267457-e0267457
  • DOI: 10.1371/journal.pone.0267457
  • Peer Reviewed
• [Journal Article] Development of the patent values evaluation method considering growth of technical community (2021)
  • Author(s): Yamamoto Yuta、Hentona Asahi、Marusaki Koji、Watabe Kohei、Kawano Seiya、Goto Tokimasa、Hada Yutaka、Fukuzawa Kazuhisa、Nonaka Hirofumi
  • Journal Title: IEEE SSCI Volume: - Pages: 1-6
  • DOI: 10.1109/ssci50451.2021.9660168
  • NAID: 130007857299
  • Peer Reviewed
• [Journal Article] Relationship between detection of hepatitis B virus in saliva and periodontal disease in hepatitis B virus carriers in Japan， Journal of Infection and Chemotherapy (2021)
  • Author(s): Kamimura Hiroteru, Jun Watanabe, Tomoyuki Sugano, Junji Kohisa, Hiroyuki Abe, Keny Kamimura, Atsunori Tsuchiya, Masaaki Takamura, Shogo Okoshi, Yoshinari Tanabe, Ritsuo Takagi, Hirofumi Nonaka, Shuji Terai
  • Journal Title: Journal of Infection and Chemotherapy Volume: Vol.27, No.3 Issue: 3 Pages: 492-496
  • DOI: 10.1016/j.jiac.2020.10.028
  • Peer Reviewed / Open Access
• [Journal Article] Differences in Chinese and Western tourists faced with Japanese hospitality: A natural language processing approach(In press) (2021)
  • Author(s): Elisa Clare Aleman Carreon, Hirofumi Nonaka, Toru Hiraoka
  • Journal Title: Information Technology and Tourism Volume: -
  • Peer Reviewed
• [Presentation] 科学知識発見を目的とした特許のアノテーション (2024)
  • Author(s): 日浦隆博, 吉田奈央, 松井陽子, 河野誠也, 野中尋史, 吉野幸一郎
  • Organizer: 言語処理学会年次大会
• [Presentation] 重要技術語を対象とした特許技術の時系列トレンド分析手法 Patent-GLIPICA の開発 (2024)
  • Author(s): 井畑匠越 , 邊士名朝飛 , 河野誠也 , 原川良介, 岩橋政宏 , 野中尋史
  • Organizer: 言語処理学会年次大会
• [Presentation] 特許請求の範囲の自動書き換え生成モデルのための大規模データセットの構築 (2024)
  • Author(s): 河野誠也, 野中尋史, 吉野幸一郎
  • Organizer: 言語処理学会年次大会
• [Presentation] Sentence BERTを用いた特許文書間の類似度算出 (2023)
  • Author(s): 石川治樹，野中尋史
  • Organizer: 日本設備管理学会東海支部令和４年度学生研究発表会予稿集
• [Presentation] 大域的・局所的エントロピーに基づいた特許文書中からの効果述語項構造の自動抽出 (2021)
  • Author(s): 邊土名朝飛, 野中尋史, 河野誠也, 谷川英和
  • Organizer: 2021年度言語処理学会年次大会
• [Presentation] 特許文書を対象とした化学実験構造化のための基礎的検討 (2021)
  • Author(s): 作本猛, 邊土名朝飛, 山本雄太, 森楓, 野中尋史
  • Organizer: 2021年度言語処理学会年次大会
• [Presentation] 技術コミュニティの成長性を加味した特許価値評価手法の開発およびその有効性の検討 (2021)
  • Author(s): 山本雄太，邊士名朝飛，中井堅誠，作本 猛，片岡翔太郎，野中尋史
  • Organizer: 情報処理学会第83回全国大会
• [Presentation] 技術コミュニティの成長性を加味した特許価値評価手法の開発 (2020)
  • Author(s): 山本 雄太、野中 尋史、邊土名 朝飛、中井 堅誠、作本 猛、片岡 翔太郎、平岡 透
  • Organizer: 人工知能学会全国大会2020
• [Patent(Industrial Property Rights)] 情報処理装置 (2021)
  • Inventor(s): 野中尋史、邊士名朝飛、谷川英和
  • Industrial Property Rights Holder: 長岡技術科学大学
  • Industrial Property Rights Type: 特許
  • Industrial Property Number: 2021-110061
  • Filing Date: 2021