“…Information extraction aims at capturing and extracting useful information from unstructured or semistructured data, such as text, images, audio, or video, whereas extraction techniques are divided into rule-based and learning-based approaches (Adnan and Akbar, 2019). Examples for extracting information from design relevant sources range from patents (Siddharth et al, 2022) and engineering standards -including requirements (Luttmer et al, 2023) as well as context and user specific information (Ehring et al, 2023;Layer et al, 2023) -to circular design guidelines (Gräßler and Hesse, 2023). While different research papers on extraction of valuable information from engineering standards exist, the automatic aggregation to KGs has not been investigated in detail.…”