The IRCDL 2024 conference, marking its 20th edition since its inception in 2005, celebrates two decades of advancements in the field of Digital Libraries (DL). Originating at the University of Padua, the conference has traversed various locations, embodying the evolution of DL over time. The 20th-anniversary edition featured a special panel titled “20 Years of IRCDL,” where Prof. Maristella Agosti explored the history of Information Retrieval in the DL landscape. Prof. Floriana Esposito emphasized the pivotal role of Machine Learning in DL and IRCDL. At the same time, Prof. Domenico Saccà provided insights into the significance of databases in Italy and within DL, focusing on structured, semi-structured, and unstructured data. The conference addressed diverse topics, including applications of DL, machine learning in research data, cultural heritage analysis, data citation and provenance, digital preservation, document analysis, knowledge acquisition, user experience, and more. These topics underscored the multidisciplinary nature of IRCDL and its role in shaping the future of DL.
Preface to the proceedings of the 20th conference on Information and Research science Connecting to Digital and Library science (IRCDL 2024)
Silvello G.
2024
Abstract
The IRCDL 2024 conference, marking its 20th edition since its inception in 2005, celebrates two decades of advancements in the field of Digital Libraries (DL). Originating at the University of Padua, the conference has traversed various locations, embodying the evolution of DL over time. The 20th-anniversary edition featured a special panel titled “20 Years of IRCDL,” where Prof. Maristella Agosti explored the history of Information Retrieval in the DL landscape. Prof. Floriana Esposito emphasized the pivotal role of Machine Learning in DL and IRCDL. At the same time, Prof. Domenico Saccà provided insights into the significance of databases in Italy and within DL, focusing on structured, semi-structured, and unstructured data. The conference addressed diverse topics, including applications of DL, machine learning in research data, cultural heritage analysis, data citation and provenance, digital preservation, document analysis, knowledge acquisition, user experience, and more. These topics underscored the multidisciplinary nature of IRCDL and its role in shaping the future of DL.
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