Computer Science Foundations for Digital Libraries: Algorithms, Systems, and Applications

Digital libraries face challenges in quality, accessibility, and usage of resources. This issue presents seven papers offering computational and technical solutions to these problems: data quality through validation and monitoring, AI evaluation of information systems, and enhanced content discoverability. Research also covers knowledge representation with new provenance models, deep learning for bibliographic control, metadata-driven access to underrepresented languages, and computational methods for restoring historical documents. These papers showcase how modern techniques like machine learning, semantic web technologies, knowledge graphs, and image processing tackle digital library challenges, improving resource quality and accessibility. These papers were selected from the 21st Italian Research Conference on Digital Libraries (IRCDL 2025), held in Udine, Italy, on 20–21 February 2025, which has served since 2005 as a key annual forum bringing together researchers from academia, government, and industry to address topics spanning computer science, digital humanities, information science, librarianship, archival science, museum studies, and cultural heritage.