Abstract
The goal of this study is to develop a system that supports grasping trends of the research field by visualizing among research articles.Previous studies have visualized the relations between sources and citations to understand trends in research fields.However, these methods only focus on a single paper, and it is difficult to find relations when there is no explicit reference, even though the papers are close in content.In order to solve these problems, this paper developed a prototype interface that helps to grasp relations between similar sources and citations over papers.
Artifacts
Information
Book title
The 34th Annual Conference of the Japanese Society for Artificial Intelligence
Date of presentation
2020/06/10
Location
オンライン
DOI
10.11517/pjsai.JSAI2020.0_2O1ES502
Citation
Shun Gendo, Koichi Hodooka, Mitsunori Matsushita. Grasping Research Trends Based on Similar Cited Papers, The 34th Annual Conference of the Japanese Society for Artificial Intelligence, No.2O1-ES-5-02.