In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …

Optimizing work package schemes is challenging under uncertain task duration. This paper
develops a two-list genetic algorithm (TLGA) to optimize work package schemes with …

Many cross-knowledge domain tasks involving various professional backgrounds have
been transferred from construction sites to factories in modular construction (MC). In MC …

Efficient extraction of information from underground engineering text reports can significantly
enhance project efficiency and quality. Traditional manual analysis is often time-consuming …

While the use of semantic models has been explored in different areas of the Architecture,
Engineering and Construction (AEC) industry to map and formalize knowledge and support …

Project portfolio (PP) exists resource risk that propagates because of the relationships
among projects arising from resource sharing. While earlier research has highlighted the …

State highway agencies (SHAs) often need to cluster or bundle projects in accordance with
their scope similarity for various construction management tasks, including historical data …

Learning from previous projects in light of benchmarking criteria is a desirable and popular
approach to reliable project development and planning in the preconstruction phase …

This study aims to propose a method to generate response measures for subway
construction risks. The HowNet semantic theoretical system was selected and incorporated …