Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
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| DOI | 10.1007/978-981-19-2394-4_62 | ||||
| Año | 2023 | ||||
| Tipo | proceedings paper |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
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.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Maureira, Carlos | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
Universidad de Las Américas, Chile - Chile Univ Amer - Chile |
| 2 | ALLENDE-CID, HECTOR GABRIEL | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
|
| 3 | GARCIA-CONEJEROS, JOSE ANTONIO | Hombre |
Pontificia Universidad Católica de Valparaíso - Chile
|
| 4 | Yang, XS | - | |
| 5 | Sherratt, S | - | |
| 6 | Dey, N | - | |
| 7 | Joshi, A | - |