Abstract:

The development of the new generation of information technology, such as big data, artificial intelligence and machine learning, has promoted thechangefromdigital to intelligentinthe service of public cultural institutions such as digital libraries and archives. Machine learning tools and algorithms can help digital libraries and archives to analyze their user behavior data, business processing data, etc., to provide more intelligent information services for users. Under this background, the workshop on "Cyberinfrastructure and Machine Learning for Digital Libraries and Archives: Integrating Data Management, Analysis, and Publication" in the Joint Conference on Digital Library (JCDL 2018) was held in US. This paper mainly reviews nine special reports of this workshop, with a view to introducing the current international research work on this field.

Key words: Digital library, Cyberinfrastructure, Machine learning, Data management, Data analysis