A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts
Masaru Dobashi, Kohei Toshimitsu, Hirotsugu Seike, Miki Kanno, Genki Horie, Noboru Koshizuka
公開日: 2025/8/28
Abstract
This paper proposes "Data Space High-Level Architecture Model" (DS-HLAM) for expressing diverse data collaboration platforms across regional implementations. The framework introduces mathematically rigorous definitions with success conditions formalized through finite state automata theory, enabling interoperability while preserving digital sovereignty requirements.