Ontology-based Multi-source Heterogeneous O&M Data Integration Framework for Tunnel Structural Health Assessment
Published in Structure and Infrastructure Engineering, 2025
This study proposes an ontology-based four-layer framework for tunnel O&M data integration, develops comprehensive ontologies, innovates a mapping method based on concept similarity and local confidence, and improves data fusion and O&M efficiency via fuzzy evaluation.
Recommended citation: Liu, L., An, P., Ren, Z., An, R., Lin, J., Guo, Y., Hu, Z.Z.* (2025). Ontology-based Multi-source Heterogeneous O&M Data Integration Framework for Tunnel Structural Health Assessment. Structure and Infrastructure Engineering, 1-21. doi: 10.1080/15732479.2025.2521016 http://doi.org/10.1080/15732479.2025.2521016