The document discusses search challenges for collections of book records, specifically focusing on the COMSODE project, which aims to unlock the value of linked open data (LOD) in the public sector. It showcases a use case in digital humanities that quantitatively ranks scholarly book publishers based on bibliometric citations. The presentation emphasizes the importance of probabilistic modeling and evidence-based search strategies to manage uncertainty in data for improved results.