A Study on Information Integration Methods for Building Carbon Accounting and Management Using Semantic-Oriented Digital Twin Technology

Nov 1, 2025·
Chien-Pu (Nora) Huang
Chien-Pu (Nora) Huang
,
Shang-Hsien Hsieh
· 1 min read
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
publications

🏆 Best Paper Award — 第29屆營建工程與管理學術研討會

Chien-Pu (Nora) Huang
Authors
Postdoctoral Researcher
Chien-Pu (Nora) Huang is a Postdoctoral Researcher at the Computer-Aided Engineering Lab, National Taiwan University. Her research centers on semantic digital twin frameworks for smart built environments, integrating ontology-driven automation, knowledge graphs, and BIM for intelligent facility operations.