Visualization Based on Hypothesis Ontology

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K19809
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 60090:High performance computing-related
• Research Institution: Kyushu University
• Principal Investigator: Daisuke Sakurai 九州大学, 情報基盤研究開発センター, 准教授 (50772547)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: トポロジー解析 / 可視化 / 特異点論

Outline of Final Research Achievements

Research on topological data analysis for ontology visualisation was carried out; in Reiwa 2, research on singular fiber theories was published, focusing on Reeb space calculations for isosurface intersections; in Reiwa 3, analysis of doses from the Fukushima nuclear accident and simplification of the singularity theory were carried out, and the accuracy of the algorithms was proved; in Reiwa 4, relative position analysis of isosurfaces and methods for incorporating them into ontologies were developed. In Reiwa 4, he developed a method for analysing the relative positions of isosurfaces and incorporating them into an ontology. Further work included tuning of Elastic Net, design and visualisation of optimization problems and visual analysis of spatial dose maps. In addition, a research on music score generation for rhythm-action games was investigated for applications.

Free Research Field

可視化

Academic Significance and Societal Importance of the Research Achievements

可視化対象であるデータに含まれる等値面の様子を，様々な場の相関関係を通して分析することは未だ可視化研究の重要なテーマとなっている．今回は，その様子を幾何と特異点論を用いて解析する手法を研究した．また，その発展として応用をいくつか行い，また，調査した．