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