Affiliation：Research Institute for Industrial Engineering Innovations, Osaka Prefecture University

Abstract：特許文献データを用いて技術課題の解決手段の可視化を行い，新規アイデアの着想を支援する．単語レベルの共起確率ベクトル・相関係数ベクトルにより自己組織化マップを構築することで，技術要素の直接的な関連性及び潜在的な関連性の視覚化を実現した．
 

Publication related to your research
（Journal paper）

• 西田泰士，本多克宏, "イノベーション加速のための自己組織化マップによる解決手段の可視化", 知能と情報（日本知能情報ファジィ学会誌）, Vol.30，No.2, pp. 543-547 (2018).

（International conference paper）

• Yasushi Nishida and Katsuhiro Honda, "Visualization of Potential Technical Solutions by Self-Organizing Maps and Co-cluster Extraction", SCIS&ISIS2018(2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems), pp. 820-825 (2018)
• Yasushi Nishida and Katsuhiro Honda, "A Comparative Study on SOM-Based Visualization of Potential Technical Solutions Using Fuzzy Bag-of-Words and Co-occurrence Probability of Technical Words", IUKM2019(Integrated Uncertainty in Knowledge Modelling and Decision Making), pp. 360-369 (2019)