This paper presents a new approach for modeling construction state inferencing rules using Semantic Web ontologies. This approach focuses on facilitating the shareability of the rules with ontology formalized meta information and SHACL-based rule body. Meanwhile, using the DiCon ontology as a unique terminology box, the rule could be reused directly for different construction data sources. The modeled rules would thus be collected as a shared library so that different users could search and reuse the rule in the library. The proposed ontology and CPL framework modeled were tested in an example case to demonstrate the usage of the ontology and framework.
CITATION STYLE
Zheng, Y., Seppänen, O., Masood, M. K., & Törmä, S. (2024). Ontology-Based Construction Process Library for Process States Inference. In Lecture Notes in Civil Engineering (Vol. 357, pp. 431–447). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35399-4_32
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