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.
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