Integrated Digital Library System for Long Documents and their Elements

Abstract

We 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.

Citation

BibTeX

@inproceedings{chekuri2023integrated,
  title = {Integrated Digital Library System for Long Documents and their Elements},
  author = {Chekuri, Satvik and Chandrasekar, Prashant and Banerjee, Bipasha and Park, Sung Hee and Masrourisaadat, Nila and Ahuja, Aman and Ingram, William A. and Fox, Edward A.},
  year = {2023},
  booktitle = {Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries},
  location = {Santa Fe, New Mexico, USA},
  publisher = {IEEE Press},
  series = {JCDL '23},
  pages = {13--24},
  doi = {10.1109/JCDL57899.2023.00012},
  isbn = {9798350399318},
  note = {Nominated for Best Student Paper Award}
}