@inproceedings{50c7b7ae686c4bcf91d7334186238f45,
title = "Semantic enrichment of object associations across federated BIM semantic graphs in a common data environment",
abstract = "Explicit association semantics across federated BIM models facilitate the interoperability between design systems and open opportunities for intelligent applications. However, the automated inference and generation of such semantics remains a key challenge. Graph representations of BIM models have shown potential in supporting semantic enrichment and conveying formal building semantics across domains. In this paper, we present our implementation of a semantically-enriched Common Data Environment – the Graph-based Core-extension Data Framework – composed of a semantic graph layer and an object geometry extension layer, hosting the heterogeneous information from BIM models. A novel rule-based inferencing approach, the TIOC algorithm, was implemented on the federated building representations to infer and establish inter-domain topological and correspondence relationships, interconnecting disjoint domain specific graphs with meaningful formal semantics. This study is the first known attempt to implement a semantic enrichment algorithm for implicit object associations in the context of multidisciplinary models.",
author = "B. Ouyang and Z. Wang and R. Sacks",
note = "Publisher Copyright: {\textcopyright} 2023 the Author(s).; 14th European Conference on Product and Process Modelling, ECPPM 2022 ; Conference date: 14-09-2022 Through 16-09-2022",
year = "2023",
doi = "10.1201/9781003354222-75",
language = "الإنجليزيّة",
isbn = "9781032406732",
series = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022",
pages = "591--598",
editor = "Eilif Hjelseth and Sujan, \{Sujesh F.\} and Scherer, \{Raimar J.\}",
booktitle = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022",
}