Chekuri, SatvikChandrasekar, PrashantBanerjee, BipashaPark, Sung HeeMasrourisaadat, NilaAhuja, AmanIngram, William A.Fox, Edward A.2024-01-222024-01-22202397983503993182575-7865https://hdl.handle.net/10919/117429We describe a next-generation integrated Digital Library (DL) system that addresses the numerous goals associated with long documents such as Electronic Theses and Dissertations (ETDs). Our extensible workflow-centric design supports a variety of users/personas (e.g., researchers, curators, and experimenters) who can benefit from improved access to ETDs and the content buried therein. Our approach leverages natural language processing, deep learning, information retrieval, and software engineering methods. The services cover ingesting, storing, curating, analyzing, detecting, extracting, classifying, summarizing, topic modeling, browsing, searching, retrieving, recommending, visualizing/reporting, and interacting with ETDs and derivative text/image-based elements/objects. Workflows connect the services and their APIs, along with UI-based access. We believe our approach can guide others to combine tailored user support, research, and education by way of extensible DLs.Pages 13-2412 page(s)application/pdfenIn CopyrightDigital LibraryInformation SystemInformation RetrievalDeep LearningNLPConference proceedinghttps://doi.org/10.1109/JCDL57899.2023.000122023-JuneIngram, William [0000-0002-8307-8844]Fox, Edward [0000-0003-1447-6870]2575-8152