Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

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 …

With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

Building information modelling (BIM) teams, hereafter referred to as BIM-based construction
networks, are teams whose possibly geographically dispersed members from various …

The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

Purpose The purpose of this study is to identify and analyse the key measurable returning
factors, value drivers and strategic benefits associated with building information modelling …

Anecdotal evidence from industry and research studies acknowledges the shortcomings of
current frameworks and tools, such as COBie add-ins made available by major BIM tool …

Despite ongoing research in Architectural, Engineering, Construction and Operations
(AECO), little is understood about BIM's interaction with its adoption process. This paper …

Abstract Despite that Building Information Modelling (BIM) is often praised as a whole life-
cycle methodology, possibilities for deconstruction are consistently overlooked. This study …