William A. Ingram,
Jian Wu,
Sampanna Yashwant Kahu,
Javaid Akbar Manzoor,
Bipasha Banerjee,
Aman Ahuja,
Muntabir Hasan Choudhury,
Lamia Salsabil,
Winston Shields, and
Edward A. Fox.
2024.
“Building datasets to support information extraction and structure parsing from electronic theses and dissertations.”
International Journal on Digital Libraries.
10.1007/s00799-024-00395-4
Liuqing Li,
Jack Geissinger,
William A. Ingram, and
Edward A. Fox.
2020.
“Teaching Natural Language Processing through Big Data Text Summarization with Problem-Based Learning.”
Data and Information Management,
Vol. 4
(1),
pp. 18–43.
10.2478/dim-2020-0003
William A. Ingram,
Bipasha Banerjee, and
Edward A. Fox.
2019.
“Summarizing ETDs with deep learning.”
Cadernos BAD,
Vol. 1,
pp. 46–52.
10.48798/cadernosbad.2014
Colleen Fallaw,
Elise Dunham,
Elizabeth Wickes,
Dena Strong,
Ayla Stein,
Qian Zhang,
Kyle Rimkus,
William A. Ingram, and
Heidi J. Imker.
2016.
“Overly Honest Data Repository Development.”
The Code4Lib Journal,
(34).
journal.code4lib.org/articles/11980
Thomas Habing,
Janet Eke,
Matthew A. Cordial,
William Ingram, and
Robert Manaster.
2009.
“Developments in Digital Preservation at the University of Illinois: The Hub and Spoke Architecture for Supporting Repository Interoperability and Emerging Preservation Standards.”
Library Trends,
Vol. 57
(3),
pp. 556–579.
10.1353/lib.0.0052
Book Chapters
William A. Ingram
and
Sylvester A. Johnson.
2024.
“Archives, Digital Search, and AI Ethics.”
In The Routledge Companion to Libraries, Archives, and the Digital Humanities, edited by
Isabel Galina Russell
and
Glen Layne-Worthey.
Routledge,
pp. 479–492.
10.4324/9781003327738-38
Conference Papers
Satvik Chekuri,
Prashant Chandrasekar,
Bipasha Banerjee,
Sung Hee Park,
Nila Masrourisaadat,
Aman Ahuja,
William A. Ingram, and
Edward A. Fox.
2023.
“Integrated Digital Library System for Long Documents and their Elements.”
In Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries
(JCDL ’23),
Santa Fe, New Mexico, USA,
pp. 13–24.
Nominated for Best Student Paper Award.
10.1109/JCDL57899.2023.00012
Muntabir Hasan Choudhury,
Lamia Salsabil,
Himarsha R. Jayanetti,
Jian Wu,
William A. Ingram, and
Edward A. Fox.
2023.
“MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries.”
In Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries
(JCDL ’23),
Santa Fe, New Mexico, USA,
pp. 61–65.
Best Short Paper Award.
10.1109/JCDL57899.2023.00019
Muntabir Hasan Choudhury,
Himarsha R. Jayanetti,
Jian Wu,
William A. Ingram, and
Edward A. Fox.
2021.
“Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations.”
In Proceedings of the 2021 ACM/IEEE Joint Conference on Digital Libraries
(JCDL ’21),
Virtual Event,
pp. 230–233.
10.1109/JCDL52503.2021.00066
Workshop Papers
Aman Ahuja,
Kevin Dinh,
Brian Dinh,
William A. Ingram, and
Edward Fox.
2023.
“A New Annotation Method and Dataset for Layout Analysis of Long Documents.”
In Companion Proceedings of the ACM Web Conference 2023
(WWW ’23 Companion),
Austin, TX, USA,
pp. 834–842.
As part of 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023).
10.1145/3543873.3587609
Lamia Salsabil,
Jian Wu,
Muntabir Hasan Choudhury,
William A. Ingram,
Edward A. Fox,
Sarah M. Rajtmajer, and
C. Lee Giles.
2022.
“A Study of Computational Reproducibility Using URLs Linking to Open Access Datasets and Software.”
In Companion Proceedings of the Web Conference 2022
(WWW ’22 Companion),
Virtual Event, Lyon, France,
pp. 784–788.
As part of Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment.
10.1145/3487553.3524658
Bipasha Banerjee,
William A. Ingram,
Jian Wu, and
Edward A. Fox.
2022.
“Applications of Data Analysis on Scholarly Long Documents.”
In 2022 IEEE International Conference on Big Data
(Big Data ’22),
Osaka, Japan,
pp. 2473–2481.
As part of The 7th Computational Archival Science (CAS) Workshop.
10.1109/BigData55660.2022.10020935
Extended Abstracts
William Ingram,
Jian Wu, and
Edward Fox.
2023.
“Maximizing Equitable Reach and Accessibility of ETDs.”
In Proceedings of the 23rd ACM/IEEE-CS Joint Conference on Digital Libraries
(JCDL ’23),
Santa Fe, New Mexico, USA,
pp. 256–257.
Poster Presentation.
10.1109/JCDL57899.2023.00049
William A. Ingram,
Rebecca B. Dikow,
Abigail Potter,
Meghan Ferriter, and
Jill Reilly.
2023.
“AI and Public Archives: Collaborative Leadership for Responsible Adoption.”
In Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries
(JCDL ’23),
Santa Fe, New Mexico, USA,
pp. 323–324.
Panel Discussion.
10.1109/JCDL57899.2023.00079
William A. Ingram,
Jian Wu, and
Edward A. Fox.
2022.
“Electronic Theses and Dissertations: A Research Corpus of Scholarly Big Data.”
Presented at GL24 — Twenty-Fourth International Conference on Grey Literature, GreyNet International.
doi.org/10.5446/59869
Aman Ahuja,
William A. Ingram,
Chenyu Mao,
Chongyu He,
Jianchi Wei, and
Edward A. Fox.
2022.
“Analyzing and Navigating ETDs Using Topic Models.”
Presented at 25th International Symposium on Electronic Theses and Dissertations,
Novi Sad, Serbia.
etd2022.uns.ac.rs/
Bipasha Banerjee,
William A. Ingram,
Jian Wu, and
Edward A. Fox.
2021.
“Applications of Mining ETDs.”
Presented at 24th International Symposium on Electronic Theses and Dissertations,
Abu Dhabi, UAE.
doi.org/10.26226/morressier.614c9b8c87a68d83cb5d59b2
William A. Ingram
and
Edward A. Fox.
2020.
“Preparing Code and Data for Computational Reproducibility.”
(Half-day tutorial).
In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
(JCDL ’20),
Virtual Event, China,
pp. 565–566.
10.1145/3383583.3398714
Edward A. Fox
and
William A. Ingram.
2020.
“Introduction to Digital Libraries.”
(Half-day tutorial).
In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
(JCDL ’20),
Virtual Event, China,
pp. 567–568.
10.1145/3383583.3398501
William A. Ingram
and
Edward A. Fox.
2019.
“Preparing Code and Data for Computational Reproducibility: A Hands-On Workshop.”
(Half-day tutorial).
Presented at 22nd International Symposium on Electronic Theses and Dissertations.
http://etd2019.upt.pt/keynote-speakers-guests/
Workshops (Hosting/Organizing)
“Leading the Future of AI and Public Archives: Toward a Shared AI Ethics Framework.”
November 16, 2022–November 17, 2022.
Virtual Workshop.
William A. Ingram, Virginia Tech University Libraries;
Sylvester A. Johnson, Virginia Tech Center for Humanities;
Abigail Potter, Library of Congress Labs;
Meghan Ferriter, Library of Congress Labs;
Rebecca Dikow, Smithsonian OCIO Data Science Lab;
Mike Trizna, Smithsonian OCIO Data Science Lab; and
Jill Reilly, National Archives Office of Innovation. Part two of a workshop series aimed at developing a shared AI Ethics Framework for galleries, libraries, archives, and museums. Keynote speakers included Afua Bruce and Isaac Johnson. Activities focused on creating an institutional AI ethics statement and operationalizing AI in LAMs.smithsonian.github.io/AIandPublicArchives2022/.
“Leading the Future of AI and Public Archives.”
May 6, 2022.
Virtual Workshop.
William A. Ingram, Virginia Tech University Libraries;
Sylvester A. Johnson, Virginia Tech Center for Humanities;
Abigail Potter, Library of Congress;
Meghan Ferriter, Smithsonian; and
Jill Reilly, National Archives Office of Innovation. Part one of a workshop series aimed at leaders and collaborators from institutions with public digital collections and archives programs. Activities included a leadership roundtable, lessons learned, problem definition, and action priority matrix. Keynote speaker: Elham Tabassi.smithsonian.github.io/AIandPublicArchives2022/.
“Ensuring Scholarly Access to Government Archives and Records.”
April 16, 2021–May 7, 2021.
Virtual Workshop.
William A. Ingram, Virginia Tech University Libraries
and
Sylvester A. Johnson, Virginia Tech Center for Humanities. Virginia Tech and NARA convened archivists, librarians, humanists, technologists, and scientists for a set of five weekly workshops to plan for ensuring future access to government records through AI and machine learning. Sponsored by the Andrew W. Mellon Foundation.lib.vt.edu/research-teaching/computational-archives-workshop.html.
Other Reports and White Papers
William A. Ingram
and
Sylvester A. Johnson.
2021.
“Ensuring Scholarly Access to Government Archives and Records.”
Virginia Tech.
.
Sponsored by The Andrew W. Mellon Foundation.http://hdl.handle.net/10919/108067
John Aromando,
Bipasha Banerjee,
William A. Ingram,
Palakh Jude, and
Sampanna Kahu.
2020.
“Classification and Extraction of Information from ETD Documents.”
Virginia Tech.
.
http://hdl.handle.net/10919/96645
Naman Ahuja,
Ritesh Bansal,
William A. Ingram,
Palakh Jude,
Sampanna Kahu, and
Xinyue Wang.
2018.
“Big Data Text Summarization: Using Deep Learning to Summarize Theses and Dissertations.”
Virginia Tech.
.
http://hdl.handle.net/10919/86406