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

Related authors

Semantic modelling of animal welfare explained – Part 1: Calculating overall welfare scores for husbandry systems using the ANyWEL model framework
Janine Benthin, Karen Kauselmann, E. Tobias Krause, Marc B. M. Bracke, and Margret L. Vonholdt-Wenker
Arch. Anim. Breed., 69, 363–382, https://doi.org/10.5194/aab-69-363-2026,https://doi.org/10.5194/aab-69-363-2026, 2026
Short summary

Cited articles

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Benthin, J., Kauselmann, K., Krause, E. T., Bracke, M. B. M., and Vonholdt-Wenker, M. L.: Semantic modelling of animal welfare explained – Part 1: Calculating overall welfare scores for husbandry systems using the ANyWEL model framework, Arch. Anim. Breed., 69, 363–382, https://doi.org/10.5194/aab-69-363-2026, 2026. 
Benthin, J., Vonholdt-Wenker, M. L., and Kauselmann, K.: Datenbank mit Literaturangaben, die für die Bewertung der Tiergerechtheit im Projekt InKalkTier verwendet wurden (Database with literature references used for the welfare assessment in the InKalkTier project) [Data set], Zenodo, https://doi.org/10.5281/zenodo.10259931, 2023. 
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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