University of Denver
New York University
Large digital libraries like the HathiTrust Digital Library (HTDL) provide texts of historical, cultural, or literary significance at unprecedented scales. However, the size and the consortial approach to building them can confuse computational attempts to model the collection, due to issues such as uneven duplication and incomplete metadata. This paper presents the technical workflow of a project seeking to address those challenges.
If this content appears in violation of your intellectual property rights, or you see errors or omissions, please reach out to Scott B. Weingart to discuss removing or amending the materials.
In review
Hosted at Carleton University, Université d'Ottawa (University of Ottawa)
Ottawa, Ontario, Canada
July 20, 2020 - July 25, 2020
475 works by 1078 authors indexed
Conference cancelled due to coronavirus. Online conference held at https://hcommons.org/groups/dh2020/. Data for this conference were initially prepared and cleaned by May Ning.
Conference website: https://dh2020.adho.org/
References: https://dh2020.adho.org/abstracts/
Series: ADHO (15)
Organizers: ADHO