LLM-Assisted Semantic Digital Twin for Explainable and Auditable Facility Operations
LLM-assisted semantic digital twin framework for explainable and auditable facility operations management.
LLM-assisted semantic digital twin framework for explainable and auditable facility operations management.
A plug-and-play semantic execution framework for reusable cross-domain automation in digital twins.
Information integration methods for building carbon accounting using semantic-oriented digital twin technology.
Systems theory-based predictive maintenance framework with Neo4j for smart facility management performance evaluation.
Ontology-driven automation framework for BIM-FM data integration using Neo4j, Python, and workflow platforms.
Neo4j-powered workflow for lifecycle carbon management demonstrated through the NTU campus case study.