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
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.