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Semantic Building Information Modeling: An Empirical Evaluation of Existing Tools

Huitzil, Ignacio and Molina-Solana, Miguel and Gómez-Romero, Juan and Schorlemmer, Marco and García-Calvés, Pere and Osman, Nardine and Coll, Josep and Bobillo, Fernando
Journal of Industrial Information Integration 42 , 100731 (2024)

Abstract:

Building Information Modeling (BIMs) has emerged as a key tool in the digitalization of the construction sector. In the last years, the need to extend BIM tools with Semantic Web technologies to obtain semantic BIMs has been widely discussed, for example to enable automatic inference of new knowledge and constraint checking. For backward compatibility, to use semantic representations of a BIM model one needs software tools translating BIM models into Semantic Web languages. While several tools have been proposed in the literature, they have different features that make their comparison difficult. In this paper, we analyze and compare empirically some of these tools (in particular, IFC converters translating an input IFC model into an OWL ontology or an RDF graph) identifying their strengths and main drawbacks.

Links:

DOI: 10.1016/j.jii.2024.100731
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Bibtex:

@article{Huitzil2024,
  author = {Huitzil, Ignacio and Molina-Solana, Miguel and Gómez-Romero, Juan and Schorlemmer, Marco and García-Calvés, Pere and Osman, Nardine and Coll, Josep and Bobillo, Fernando},
  title = {Semantic Building Information Modeling: An Empirical Evaluation of Existing Tools},
  journal = {Journal of Industrial Information Integration},
  year = {2024},
  volume = {42},
  articleno = {100731},
  doi = {10.1016/j.jii.2024.100731},
  comment = {},
  timestamp = {40}
}