Demo – Paper 513

Science Graph for characterizing the recent scientific landscape

Takahiro Kawamura, Katsutaro Watanabe, Naoya Matsumoto, Shusaku Egami and Mari Jibu

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Abstract

Maps of science representing the structure of science can help us understand science and technology development. However, navigating the recent scientific landscape is still challenging, since application of inter-citation and co-citation analysis for ongoing projects and recently published papers has difficulty. Therefore, in order to characterize what is being attempted in the current scientific landscape, this paper proposes a content-based method of locating research projects in a multi-dimensional space using word/paragraph embedding techniques. The proposed method successfully formed a science graph with 78% accuracy from 25,607 project descriptions of the 7th Framework Programme (FP7) from 2006 to 2016.