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

Carlos Maureira; Héctor Allende-Cid; José García

doi:10.1007/978-981-19-2394-4_62

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

Carlos Maureira, Héctor Allende-Cid, José García

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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

Original language	English
Title of host publication	Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	683-691
Number of pages	9
ISBN (Print)	9789811923937
DOIs	https://doi.org/10.1007/978-981-19-2394-4_62
State	Published - 2023
Event	7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	464
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Congress on Information and Communication Technology, ICICT 2022
City	Virtual, Online
Period	21/02/22 → 24/02/22

Keywords

AEC
Architecture engineering and construction
Artificial intelligence
Industry 4.0
Internet of Things
Knowledge domain organization
Metalearning
Metaresearch

Access to Document

10.1007/978-981-19-2394-4_62

Cite this

Maureira, C., Allende-Cid, H., & García, J. (2023). Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry. In X-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022 (pp. 683-691). (Lecture Notes in Networks and Systems; Vol. 464). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2394-4_62

Maureira, Carlos ; Allende-Cid, Héctor ; García, José. / Knowledge Domain Organization in AEC-AI 4.0 Industry : Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry. Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 683-691 (Lecture Notes in Networks and Systems).

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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 AEC{\textquoteright}s life cycle operations. It would provide a dynamic framework for the assessment of digital and cyber-physical technology.",

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Maureira, C, Allende-Cid, H & García, J 2023, Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022. Lecture Notes in Networks and Systems, vol. 464, Springer Science and Business Media Deutschland GmbH, pp. 683-691, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22. https://doi.org/10.1007/978-981-19-2394-4_62

Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry. / Maureira, Carlos; Allende-Cid, Héctor ; García, José.
Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. p. 683-691 (Lecture Notes in Networks and Systems; Vol. 464).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Maureira C, Allende-Cid H , García J. Knowledge Domain Organization in AEC-AI 4.0 Industry: Multilevel Dynamical Approaches to Knowledge Domain Structures in AEC-AI 4.0 Industry. In Yang X-S, Sherratt S, Dey N, Joshi A, editors, Proceedings of 7th International Congress on Information and Communication Technology, ICICT 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 683-691. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-2394-4_62