On Friday, December 11th, doctoral student Christopher Rauch will present a paper for the Computational Archival Science workshop at the IEEE International Conference on Big Data (IEEE Big Data 2020). The paper, titled “A Computational Approach to Historical Ontologies,” is co-authored with CCI’s Mat Kelly, Jane Greenberg, Sam Grabus, and Joan Boone, as well as California Digital Library’s John Kunze, and Temple University’s Peter Logan.
Citation: Kelly, M., Greenberg, J., Rauch, C. B., Grabus, S., & Boone, J. P. (In Press, December 10-13, 2020). A Computational Approach to Historical Ontologies 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, Georgia, US. [PDF]
On December 4th, 2020, doctoral candidate Jeremy Leipzig and Dr. Jane Greenberg were awarded the “Best Research Paper Award” at the 14th International Conference on Metadata and Semantics Research (MTSR 2020). The paper, titled “Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species,” was co-authored by J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, M. Maga, W. Dahdul, A. Karpatne, P. Mabee, H. L. Bart Jr. and J. Greenberg.
Research supported by NSF OAC Office of Advanced Cyberinfrastructure (OAC) #1940233and #1940322.
Metadata Research Center affiliated papers being presented include:
Xintong Zhao will present: HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science (J. Greenberg, X. Zhao, J. Adair, J. Boone and X. Hu)
Deborah Garwood will present: FAIRising Pedagogical Documentation for the Research Lifecycle (D. Garwood and A. Poole)
Jeremy Leipzig will present: Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species (J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, M. Maga, W. Dahdul, A. Karpatne, P. Mabee, H. L. Bart Jr. and J. Greenberg
On December 3rd, the Metadata Research Center will host an Alice B. Kroeger Distinguished Lecture, featuring James Briggs Murray, Founding Curator (1972-2009) of the Moving Image and Recorded Sound Division, Schomburg Research Center, at the New York Public Library.
Presenter: James Briggs Murray, Founding Curator (1972-2009), Moving Image and Recorded Sound Division, Schomburg Research Center, The New York Public Library Title: Understanding and Developing Black Popular Music Collections Date: Thursday, December 3rd Time: 4:30-6:00pm EDT Location: Zoom Registration Link Participants must register in order to attend.
Abstract: The retired Founding Curator of the Moving Image and Recorded Sound Division of The New York Public Library’s Schomburg Center for Research in Black Culture uses recorded audio clips to illustrate his three and a half-decade mission to create a comprehensive recorded music collection in a research library setting. The journey begins in West Africa and moves through such globally impactful genres as work songs, blues, spirituals, jazz (in its many iterations), gospel, rhythm & blues, rock & roll, rock, funk, disco, and rap.
James’ presentation harkens back to his 1983 Drexel Library Quarterly article on black music collections.
Citation: Murray, J. B. (1983). Understanding and Developing Black Popular Music Collections. Drexel library quarterly, 19(1), 4-54. *Also available in ERIC: ERIC Number EJ300012
Bio: Among the highlights of his career as a Curator, first and foremost, Mr. Murray, in the mid-1970s, conceived and founded the Moving Image and Recorded Sound Division of NYPL’s Schomburg Center for Research in Black Culture, the world’s largest and most comprehensive research library devoted to the preservation of the history and culture of peoples of African descent worldwide.
Zhao’s presentation, “Scholarly Big Data: Computational Approaches to Semantic Labeling in Materials Science,” is from research she is conducting in collaboration with team members: the NSF supported Harnessing the Data Revolution (HDR) initiative, Accelerating the Discovery of Electronic Materials through Human-Computer Active Search. Zhao’s research examines computation and semantic labeling for scholarly big data in materials science. She reported on a baseline comparative analysis she led, comparing the ontology-based automatic indexing with the Helping Interdisciplinary Vocabulary Engineering (HIVE-4-MAT) application and the MATScholar system, which uses named entity recognition (NER), supported by an RNN (Recursive Neural Network). [presentation slides]
Technologies, Big Data & Archives series and the Archival
Education and Research Initiative (AERI) will co-host a webinar on
computing the archives, led by Richard Marciano (AICollaboratory, University of
Maryland) and Jane Greenberg (Metadata Research Center, Drexel University). The
session will cover graduate student datathon participation, using the Legacy of
Slavery data from Maryland State Archives; and AI/machine learning applied to
the WWII FDR Presidential Library diaries. The session will also highlight the
connection to Drexel’s LEADS program.
Rajesh Gnanasekaran (UMD)
Alexis Hill: (UMD)
Phillip Nicholas (UMD)
Lori Perine (UMD)
Sonia Pascua (Drexel, 2019 LEADS Fellow)
Hanlin Zhang (UNC, 2019 LEADS Fellow)
webinar is co-sponsored by CLIR, and co–hosted by Oklahoma State University
Emerging Technologies & Creativity Research Lab, and led by postdoctoral
fellows Rebecca Y. Bayeck, Schomburg Center for Research in Black Culture &
Azure Stewart, New York University, as part of “CLIR’s Emerging Technologies,
Big Data & Archives” series.
On Thursday, June 11th, the Metadata Research Center hosted a “Metadata Mixer: Quarantine Catch-Up.” Participants shared presentations about their research and work accomplishments over the Spring term, as well as goals for the summer. Available presentation slides can be viewed below.
Sam Grabus: Historical subject representation & the “Long S” [Slides]
Information Science Doctoral Candidate Sam Grabus was awarded the 2020 LITA/Ex Libris Student Writing Award for her paper, “Evaluating the Impact of the Long S upon 18th-Century Encyclopedia Britannica Automatic Subject Metadata Generation Results.” The paper reports on a comparative study of subject metadata generated both before and after the correction of the historical Long S in the 3rd edition of the Encyclopedia Britannica. The HIVE tool was used to automatically generate the subject metadata. Descriptive statistics were applied, and visualizations produced from the results were also examined to identify trends related to encyclopedia entry length.
The paper will be published in the September issue of LITA’s Open Access peer-reviewed journal, Information Technology and Libraries. Read more in the American Library Association Press Release.
I’ll post our Code4Lib slides after we give the talk. LEADS has been a wonderful experience, and I’m glad to be able to talk about it to others. Hopefully the lessons from Karen and my experiences will inform another year of work on the HSP project. There’s a lot more to do, but the end results will be useful for a wide audience. —————————————————-
Alyson Gamble Pronouns: They/Them/Theirs Doctoral Student, Simmons University www.mlisgamble.com