Documents as Data: Harvesting Knowledge from Textual Resources with DADAlytics

DADAlytics is a semantic toolchain recently developed by the Semantic Lab at Pratt (semlab.io) to help librarians, archivists and humanities scholars generate linked data from textual resources and descriptive records. We will discuss opportunities and challenges of adopting linked open data technologies and discuss the development of  DADAlytics. The use of DADAlytics will be contextualized within a real-world scenario provided by the collection of personal diaries of Mary Berenson, part of the Bernard and Mary Berenson Papers (1880-2002) held at the Berenson Library at the Villa I Tatti in Florence.

Author information

Mary Mann

Mary Mann is an LIS student at Pratt, focusing on research & instructional services in archives and academic institutions. She works as a reference associate at the Brooklyn Historical Society, and her essays and articles have appeared in Smithsonian and The New York Times.

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