Cost estimation is one of the most critical tasks in the architecture, engineering, construction, and facilities management industry (AEC/FM). The lack of a standardized support procedure for verifying the association of the cost to geometric objects cause a waste of time, inaccuracy and human errors in the cost estimates. This research investigates how to identify a cost ontology within the Industry Foundation Classes (IFC) database. The results show that we can consider the cost element no longer as a natural language text string, detached from the digital model, but as a structured class in the IFC data model (IfcCostItem).

RELIABILITY OF IFC CLASSES IN ONTOLOGY DEFINITION AND COST ESTIMATION OF PUBLIC PROCUREMENT

Zanchetta C.
Writing – Review & Editing
;
2023

Abstract

Cost estimation is one of the most critical tasks in the architecture, engineering, construction, and facilities management industry (AEC/FM). The lack of a standardized support procedure for verifying the association of the cost to geometric objects cause a waste of time, inaccuracy and human errors in the cost estimates. This research investigates how to identify a cost ontology within the Industry Foundation Classes (IFC) database. The results show that we can consider the cost element no longer as a natural language text string, detached from the digital model, but as a structured class in the IFC data model (IfcCostItem).
2023
2023 European Conference on Computing in Construction 40th International CIB W78 Conference
2023 European Conference on Computing in Construction 40th International CIB W78 Conference
978-07-0170-273-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3566936
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