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http://dx.doi.org/10.7734/COSEIK.2020.33.6.411

Integration of Extended IFC-BIM and Ontology for Information Management of Bridge Inspection  

Erdene, Khuvilai (Department of Civil & Environmental Engineering, Yonsei Univ.)
Kwon, Tae Ho (Department of Civil & Environmental Engineering, Yonsei Univ.)
Lee, Sang-Ho (Department of Civil & Environmental Engineering, Yonsei Univ.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.33, no.6, 2020 , pp. 411-417 More about this Journal
Abstract
To utilize building information modeling (BIM) technology at the bridge maintenance stage, it is necessary to integrate large quantities of bridge inspection and model data for object-oriented information management. This research aims to establish the benefits of utilizing the extended industry foundation class (IFC)-BIM and ontology for bridge inspection information management. The IFC entities were extended to represent the bridge objects, and a method of generating the extended IFC-based information model was proposed. The bridge inspection ontology was also developed by extraction and classification of inspection concepts from the AASHTO standard. The classified concepts and their relationships were mapped to the ontology based on the semantic triples approach. Finally, the extended IFC-based BIM model was integrated with the ontology for bridge inspection data management. The effectiveness of the proposed framework for bridge inspection information management by integration of the extended IFC-BIM and ontology was tested and verified by extracting bridge inspection data via the SPARQL query.
Keywords
industry foundation class (IFC); ifcowl; ontology; bridge inspection data;
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Times Cited By KSCI : 2  (Citation Analysis)
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