AI技術を活用した関連研究探索技術を支える基礎理論として、新しい知識は既に注目されている知識の周囲から生まれるという知識のバンドワゴン効果が知られています。一方で、まだ繋がりが知られていない知識の空白領域の活用は、事例の一般化に課題があり発展途上です。本研究は、学問における認知の遅れに着目することで知識の空白領域を同定し、研究者が知識の空白領域を活用するための論文探索技術の社会実装を目指します。
New knowledge emerges from areas that have already received attention, which is known as the bandwagon effect. However, science has experienced nonlinear growth by exploiting wide research gaps where the link between knowledge has not yet been recognized. This research aims to support researchers' creativity by focusing on the delayed recognition in science to automatically extract wide research gaps and utilize them in the paper recommendation.
[2023.03] Invited Talk in 1st Science of science conference in Japan hosted by Science of science research group. [website(Japanese)].
[2023.12] Accepted our papers(Japanese) at the 14th conference on Transdisciplinary Science and Technology.
[2023.05] Published my feature article(Japanese) to Journal of Japanese Society for Artificial Intelligence.
- Discussion of why discovery utilizing knowledge gaps is needed, especially with recent developments in the AI domain.
[2023.02] Accepted our papers at ISSI2023 as a poster[TBD].
- We improved the method of identifying papers utilizing knowledge gaps and created a dataset.
https://www.jst.go.jp/kisoken/boshuu/teian/en/top/ryoiki/ryoiki_a03.html