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Articles | Volume 69, issue 3
Articles | Volume 69, issue 3
https://doi.org/10.5194/aab-69-383-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/aab-69-383-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 69, issue 3
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

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Latest update: 18 Sep 2026
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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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