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Enabling automated checking of information in factory planning with ontologies – a case study.
- Source :
- Procedia CIRP; 2022, Vol. 112, p73-78, 6p
- Publication Year :
- 2022
-
Abstract
- Planning a manufacturing factory involves a high number of planners who deliver their domain-specific planning information. In Building Information Modeling, a central entity needs to check the information from different planning domains for coherence to each other. Especially for non-geometrical information, this is a manual, time-consuming and error-prone approach. The paper at hand therefore aimed at developing an expert system that automates the decision making in the checking process of factory planning information. On the basis of a case study, we have applied knowledge engineering methods from the Semantic Web and calculated an F1 score for validating our approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22128271
- Volume :
- 112
- Database :
- Supplemental Index
- Journal :
- Procedia CIRP
- Publication Type :
- Academic Journal
- Accession number :
- 159234300
- Full Text :
- https://doi.org/10.1016/j.procir.2022.09.047