Semantic Digital Twin Technologies for Integrating Heterogeneous Data in Building Carbon Management
Nov 1, 2025·
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1 min read
Chien-Pu (Nora) Huang
Shang-Hsien Hsieh
Abstract
This paper presents information integration methods for building carbon accounting and management using semantic-oriented digital twin technology. The proposed approach leverages semantic modeling to enable systematic carbon data collection, integration, and management across the building lifecycle.
Type
Publication
第29屆營建工程與管理學術研討會暨國際會議, 高雄, 台灣
🏆 Best Paper Award — 第29屆營建工程與管理學術研討會
Authors
Assistant Professor
Assistant Professor at National Taipei University of Technology (Taipei Tech, NTUT) specializing in semantic digital twin frameworks, graph-native knowledge architectures, and AI-driven automation for smart built environments. Licensed architect with industry experience spanning high-tech facility engineering and construction management.