Demo – Paper 513

Science Graph for characterizing the recent scientific landscape Takahiro Kawamura, Katsutaro Watanabe, Naoya Matsumoto, Shusaku Egami and Mari Jibu Demo Download paper (preprint)

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.