@inproceedings{discovery10195558,
       booktitle = {Proceedings of the 2024 European Conference on Computing in Construction},
           title = {Knowledge Driven Rule-Based Building Geometric Digital Twin Construction: State of the Art Review},
            year = {2024},
       publisher = {European Conference on Computing in Constructionan Conference on Computing in Construction},
         address = {Chania, Crete, Greece},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
        keywords = {Digital Twin construction, Model-driven DT construction, Building knowledge, Knowledge driven, Knowledge graph},
          author = {Wen, Ya and Wang, Mudan and Ariyachandra, Mahendrini and Wei, Ran and Brilakis, Ioannis and Xiao, Lizhao},
             url = {http://www.doi.org/10.35490/EC3.2024.250},
        abstract = {Automatic construction of the building geometric digital twins (gDTs) is implemented based on the scanned data from the existing buildings. The highly detailed gDTs necessitates the top-down construction method informed by the predefined building knowledge. This paper reviews the building rules used for the model-driven building indoor environment gDTs construction. It is found that these knowledge is fragmented and lacks systematic analysis. The research categorise these rules into three groups and proposes an Ontology-based knowledge graphs (KGs) approach for organising this knowledge. This method aims to integrate rules for gDT construction to establish a knowledge system for the further research.}
}