English

Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being

Machine Learning 2023-12-19 v1 Artificial Intelligence Computation and Language Databases

Abstract

Feature concepts and data leaves have been invented using datasets to foster creative thoughts for creating well-being in daily life. The idea, simply put, is to attach selected and collected data leaves that are summaries of event flows to be discovered from corresponding datasets, on the target feature concept representing the well-being aimed. A graph of existing or expected datasets to be attached to a feature concept is generated semi-automatically. Rather than sheer automated generative AI, our work addresses the process of generative artificial and natural intelligence to create the basis for data use and reuse.

Keywords

Cite

@article{arxiv.2312.10375,
  title  = {Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being},
  author = {Yukio Ohsawa and Tomohide Maekawa and Hiroki Yamaguchi and Hiro Yoshida and Kaira Sekiguchi},
  journal= {arXiv preprint arXiv:2312.10375},
  year   = {2023}
}

Comments

2 pages, 3 figures, 1 table

R2 v1 2026-06-28T13:53:24.211Z