We developed the ANyWEL (ANimal WELfare assessment of anY farm animal) model for improved semantic modelling. The model allows for the synthesis of scientific information about animal welfare. Housing conditions can be compared and ranked and welfare-relevant properties can be distinguished. We explain how this procedure works through a fictitious animal species. Herewith, semantic modelling becomes more transparent with regard to how scientific knowledge can be used to produce overall welfare scores.