Ontology-Driven Automation for BIM-FM Data Integration Using Neo4j, Python, and Workflow Platforms
Jun 1, 2025·
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Chien-Pu (Nora) Huang
Shang-Hsien Hsieh
Abstract
This paper presents an ontology-driven automation framework for BIM and facility management data integration using Neo4j, Python, and workflow platforms. The proposed approach enables seamless data exchange between heterogeneous building information systems through semantic modeling and automated workflow execution.
Type
Publication
Computing in Civil Engineering 2025: Computational and Intelligent Technologies (pp. 690-699). ASCE
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.