Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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 AEC’s life cycle operations. It would provide a dynamic framework for the assessment of digital and cyber-physical technology.

Idioma originalInglés
Título de la publicación alojadaProceedings of 7th International Congress on Information and Communication Technology, ICICT 2022
EditoresXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas683-691
Número de páginas9
ISBN (versión impresa)9789811923937
DOI
EstadoPublicada - 2023
Publicado de forma externa
Evento7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online
Duración: 21 feb. 202224 feb. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen464
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia7th International Congress on Information and Communication Technology, ICICT 2022
CiudadVirtual, Online
Período21/02/2224/02/22

Huella

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