Articles | Volume 69, issue 3
https://doi.org/10.5194/aab-69-383-2026
https://doi.org/10.5194/aab-69-383-2026
Original study
 | 
16 Jul 2026
Original study |  | 16 Jul 2026

Semantic modelling of animal welfare explained – Part 2: The basis of welfare weighting and usage of scientific information

Margret L. Vonholdt-Wenker, Janine Benthin, Karen Kauselmann, Marc B. M. Bracke, and E. Tobias Krause
Metrics will be available soon.
Latest update: 16 Jul 2026
Short summary
Semantic modelling is a procedure that can be used to assess overall animal welfare. Through the selection of scientific statements, semantic models can generate overall welfare scores. Our objective was to provide guidelines to make semantic modelling more formalised and transparent and to facilitate the use of this methodology to assess (farm) animal welfare. Ultimately, those guidelines should aid (new) modellers in applying the principles of semantic modelling in a standardised way.
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