研究 技術 計画
Online ISSN : 2432-7123
Print ISSN : 0914-7020
特集
AIクロスマップによる戦略的産学連携の試み
開本 亮
著者情報
ジャーナル フリー

2020 年 35 巻 3 号 p. 329-338

詳細
抄録

This paper was an attempt of strategic industry-academia collaboration based on university-originated papers using AI cross-map, i.e.,

(1) International Patent classification (IPC) were given to the university-originated papers using deep learning AI.

(2) With the existing academic classification as the X-axis and the patent classification obtained in (1) as the Y-axis, an XY two-dimensional AI cross-maps were created for precise visualization of the university-originated papers.

(3) Some examples of the strategic industry-academia collaborations were proposed based on the evidence of the university-originated papers.

The precise visualization of this research will lead to providing a whole and strategic birdʼs-eye view of the industry-academia collaboration, and also various data-driven analysis methods. In this way, this research has significance as a challenging exploratory research.

著者関連情報
2020 研究イノベーション学会
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