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Digital-twin based data modelling for digital building Logb..:

, In: Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023),

Signorini, M. ; Moretti, N. ; Merino, J... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1744

RT 
T1 <cTitle>Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023)</cTitle>: T1 <Title>Digital-twin based data modelling for digital building Logbook implementation</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10324817&Exemplar=1&LAN=DE
				
A1 Signorini, M.
A1 Moretti, N.
A1 Merino, J.
A1 Daniotti, B.
A1 Parlikad, A.
YR 2023
K1 air quality
K1 building information modelling
K1 building management systems
K1 construction industry
K1 data models
K1 digital twins
K1 facilities management
K1 knowledge representation languages
K1 maintenance engineering
K1 ontologies (artificial intelligence)
K1 production engineering computing
K1 semantic Web
K1 structural engineering computing
K1 Alan Reece building
K1 building management plays
K1 built asset condition
K1 comfort requirements
K1 construction heavily impact
K1 custom Digital Building Logbook ontology
K1 data access
K1 developed framework aims
K1 different spaces
K1 digital building Logbook implementation
K1 Digital Building Logbook utilising semantic web technologies
K1 digital Facilities Management applications development
K1 Digital Twin applications
K1 Digital-twin based data
K1 Facilities Management domain
K1 health
K1 higher sustainability objectives
K1 indoor activities
K1 indoor air quality
K1 indoor spaces
K1 knowledge extraction
K1 main proxies
K1 maintaining appropriate quality levels
K1 safety
K1 semantic building features
K1 spatial building features
K1 sustainability performance
K1 systems operation
K1 users
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1744
DO https://doi.org/10.1049/icp.2023.1744
SF ELIB - SuUB Bremen

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