Ontologies play a pivotal role in knowledge representation, particularly beneficial for the
Architecture, Engineering, and Construction (AEC) sector due to its inherent data diversity …

Research into the organisation of building project information began to bear fruit in the
1950s when the first classification system for the construction industry was introduced …

This research intends to use machine learning approaches to predict tunnel geology and its
construction time and costs. For this purpose, the Gaussian Process Regression (GPR) …

Creating consistency among project schedule data, BIM, and payment applications requires
activities in a construction schedule to be mapped with the most relevant ASTM Uniformat …

A pronounced gap often exists between expected and actual safety performance in the
construction industry. The multifaceted causes of this performance gap are resulting from the …

To promote the dynamic risk management of construction project portfolios (CPPs) and
improve the effect of risk response, a simulation–optimization model is proposed. The model …

Earned Value Management (EVM) measures project performance against a baseline plan. It
identifies deviations in budget and schedule, aids project managers in taking earlier …

Basic 3D models of real buildings are mainly used in the design phase, when they serve as
a visualization of future projects or as a basis for the creation of project documentation …

The increasing complexity of building projects, with high quality standards, integrated
technologies and strong management restrictions, demands the intervention of numerous …

Purpose Each building project demands an integrated method for information and
requirement management in its life cycle. The main purpose of this paper is to explore the …