Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping: An Adaptive Methodology for Macroscopic Conceptual Analysis

Abstract

The Architecture, Engineering, and Construction (AEC) Industry is one of the most important productive sectors, hence also produce a high impact on the economic balances, societal stability, and global challenges in climate change. Regarding its adoption of technologies, applications and processes is also recognized by its status-quo, its slow innovation pace, and the conservative approaches. However, a new technological era -Industry 4.0 fueled by AI-is driving productive sectors in a highly pressurized global technological competition and sociopolitical landscape. In this paper, we develop an adaptive approach to mining text content in the literature research corpus related to the AEC and AI (AEC-AI) industries, in particular on its relation to technological processes and applications. We present a first stage approach to an adaptive assessment of AI algorithms, to form an integrative AI platform in the AEC industry, the AEC-AI industry 4.0. At this stage, a macroscopic adaptive method is deployed to characterize "Optimization", a key term in AEC-AI industry, using a mixed methodology incorporating machine learning and classical evaluation process. Our results show that effective use of metadata, constrained search queries, and domain knowledge allows getting a macroscopic assessment of the target concept. This allows the extraction of a high-level mapping and conceptual structure characterization of the literature corpus. The results are comparable, at this level, to classical methodologies for the literature review. In addition, our method is designed for an adaptive assessment to incorporate further stages.

[RETRACTED] Digital Technology Fluency and BIM Learning Environment in Undergraduate Construction Management

“…The main idea of this study highlights that the relationship between digital technology and BIM is interrelated [24], [25], [26]. Students from tertiary education institutions need to master both theories and digital skills during their undergraduate study, where BIM is emphasized as part of information technology [3], [7], [27].…”

Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for Sustainable Building Development within the Smart City

“…The most widely used artificial intelligence methods in the AEC industry are genetic algorithms, neural networks, fuzzy logic, fuzzy sets, and machine learning [55]. An adaptive approach to mining the textual content of a corpus from literature studies related to the AEC and artificial intelligence industry has been developed to form an integrated artificial intelligence platform in the AEC industry (AEC-artificial intelligence Industry 4.0) [56]. Artificial intelligence is likewise one of the supporting technologies for Industry 5.0, in which the widespread implementation of Industry 4.0 lays down the fundamentals for the concept of Industry 5.0, which merges physical and virtual space to solve not only production problems but also social problems.…”