Collect and Connect Data Leaves to Feature Concepts: Interactive Graph
  Generation Toward Well-being
Yukio Ohsawa Tomohide Maekawa Hiroki Yamaguchi Hiro Yoshida Kaira Sekiguchi
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.