Knowledge Domain Organization in AEC-AI 4.0 Industry
Keywords: artificial intelligence, AEC, Architecture engineering and construction
Abstract
Knowledge Domain Organization (KDO) allows us to understand relationships, terms, or topics and the conceptual structure of specific knowledge domains. In complex domains, given by the heterogeneity of actors as well as specific domains/sub-domain features, they also impose further challenges in defining structures/features. In the AEC-AI 4.0 domain, digital and cyber-physical technologies are transforming the sector. However, big unsolved challenges are still foreseen. One of these challenges is the need for development, testing, selection, integration, and orchestration of AI and IoT technology. Here, an integrated approach involving AI, scientometrics, knowledge engineering, and metalearning would enable the development of an integrated operational system for the AECâs life cycle operations. It would provide a dynamic framework for the assessment of digital and cyber-physical technology.
Más información
| Título según WOS: | Knowledge Domain Organization in AEC-AI 4.0 Industry Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry |
| Título según SCOPUS: | Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry |
| Título de la Revista: | Lecture Notes in Networks and Systems |
| Volumen: | 464 |
| Editorial: | Springer Science and Business Media Deutschland GmbH |
| Fecha de publicación: | 2023 |
| Página final: | 691 |
| Idioma: | English |
| URL: | https://doi.org/10.1007/978-981-19-2394-4_62 |
| DOI: |
10.1007/978-981-19-2394-4_62 |
| Notas: | ISI, SCOPUS |