Development of BIM Platform for Semantic Data Based on Standard WBS Codes

Building Information Modeling (BIM) has become an indispensable tool for risk management and construction oversight, especially in the case of complex and irregularly shaped buildings. BIM’s ability to reduce construction errors has been proven through advanced features like clash detection, schedule forecasting, and cost estimation. As the adoption of BIM grows, software providers such as Autodesk, Bentley, Trimble, and Nemetschek have developed advanced tools that incorporate Project Lifecycle Management (PLM). However, these tools are not easily transferable to Asian countries, where construction management often uses unit pricing rather than the more intricate systems common in Europe and the US. Legacy data also play a crucial role in Asian construction management, impacting risk profiling and cost predictions for similar projects. This study explores the integration of 4D BIM data within a Work Breakdown Structure (WBS) framework in a real-world setting. The first step was the creation of an in-house BIM platform, CEV (Civil Easy View), built on the Autodesk Forge viewer. CEV is designed as a BIM viewer tailored for field staff and supervisors. This 4D BIM application showed strong connectivity through standardized WBS codes, allowing for automatic synchronization between object and schedule data.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-02-23
DOI
https://doi.org/10.3390/buildings15050711
Citations
2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of BIM Platform for Semantic Data Based on Standard WBS Codes

Ngoc-Son Dang, Jose Campos Matos, Dongwook Kim
2 citations
Buildings
BIM and Construction Integration
2.01
article

Development of BIM Platform for Semantic Data Based on Standard WBS Codes

Ngoc-Son Dang, Jose Campos Matos, Dongwook Kim
article en
2 citations

Abstract

Building Information Modeling (BIM) has become an indispensable tool for risk management and construction oversight, especially in the case of complex and irregularly shaped buildings. BIM’s ability to reduce construction errors has been proven through advanced features like clash detection, schedule forecasting, and cost estimation. As the adoption of BIM grows, software providers such as Autodesk, Bentley, Trimble, and Nemetschek have developed advanced tools that incorporate Project Lifecycle Management (PLM). However, these tools are not easily transferable to Asian countries, where construction management often uses unit pricing rather than the more intricate systems common in Europe and the US. Legacy data also play a crucial role in Asian construction management, impacting risk profiling and cost predictions for similar projects. This study explores the integration of 4D BIM data within a Work Breakdown Structure (WBS) framework in a real-world setting. The first step was the creation of an in-house BIM platform, CEV (Civil Easy View), built on the Autodesk Forge viewer. CEV is designed as a BIM viewer tailored for field staff and supervisors. This 4D BIM application showed strong connectivity through standardized WBS codes, allowing for automatic synchronization between object and schedule data.

BuildingsVol. 15(5)
University of Minho (PT)
Openalex Percentile: Top 16%
BIM and Construction Integration
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of BIM Platform for Semantic Data Based on Standard WBS Codes — Ngoc-Son Dang, Jose Campos Matos, et al. · Buildings (2025) | TGRS Research Map | TGRS