Developing a standardised approach of Asset Lifecycle Information Modelling for Semantic Digital Twins in the built environment
conference paper
A Digital Twin comprises three key aspects, i.e. data management, integration of expert models, and simulation-based decision-making. This paper focuses on the research challenges regarding data management where the lack of interoperability is acknowledged as a key constraint for the wider uptake of Digital Twins. In ongoing research, a standardized approach of Asset Lifecycle Information Modelling (ALIM) is proposed to tackle the issues of data variety and uncertainties, big data repositories, and semantic data mining. ALIM facilitates the creation of Semantic Digital Twins (SDT) by capitalizing on Semantic Web and Linked Data technologies as well as open standardisation for modelling data across the lifecycle of building and civil infrastructure assets.
This paper describes the ongoing development of ALIM and the outcomes of an exploratory case study where a set of ALIM ontologies for SDT have been developed.
This paper describes the ongoing development of ALIM and the outcomes of an exploratory case study where a set of ALIM ontologies for SDT have been developed.
TNO Identifier
959270
ISSN
2706-6568
Source title
Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October 2021
Collation
10 p.
Pages
946-955
Files
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