10 citations · 17 across the 10 of their papers we have counts for
8 papers · 1 filter
URL Extraction from Scholarly Documents: A Cross-Format Comparative Analysis
Rochana R. Obadage, Lamia Salsabil, Sawood Alam +4
URLs in scholarly documents link to rich external resources such as datasets, software, publications, and websites. Extracting these URLs is crucial in the data preparation stage o…
Toward Robust URL Extraction for Open Science: A Study of arXiv File Formats and Temporal Trends
Rochana R. Obadage, Lamia Salsabil, Sawood Alam +4
In this work, we study how URL extraction results depend on input format. We compiled a pilot dataset by extracting URLs from 10 arXiv papers and used the same heuristic method to…
Automating Chapter-Level Classification for Electronic Theses and Dissertations
Bipasha Banerjee, William A. Ingram, Edward A. Fox
Traditional archival practices for describing electronic theses and dissertations (ETDs) rely on broad, high-level metadata schemes that fail to capture the depth, complexity, and…
Making History Readable
Bipasha Banerjee, Jennifer Goyne, William A. Ingram
The Virginia Tech University Libraries (VTUL) Digital Library Platform (DLP) hosts digital collections that offer our users access to a wide variety of documents of historical and…
Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals
William A. Ingram, Bipasha Banerjee, Edward A. Fox
As research institutions increasingly commit to supporting the United Nations' Sustainable Development Goals (SDGs), there is a pressing need to accurately assess their research ou…
Maximizing Equitable Reach and Accessibility of ETDs
William A. Ingram, Jian Wu, Edward A. Fox
This poster addresses accessibility issues of electronic theses and dissertations (ETDs) in digital libraries (DLs). ETDs are available primarily as PDF files, which present barrie…
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Muntabir Hasan Choudhury, Lamia Salsabil, Himarsha R. Jayanetti +3
Metadata quality is crucial for digital objects to be discovered through digital library interfaces. However, due to various reasons, the metadata of digital objects often exhibits…
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations
Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu +2
Electronic Theses and Dissertations (ETDs) contain domain knowledge that can be used for many digital library tasks, such as analyzing citation networks and predicting research tre…