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Articles 1 - 16 of 16
Full-Text Articles in Arts and Humanities
Final Presentation To The Library Of Congress On Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
Final Presentation To The Library Of Congress On Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches
This presentation to Library of Congress staff, delivered onsite on January 10, 2020, presents a tour through the demonstration project pursued by the Aida digital libraries research team with the Library of Congress in 2019-2020. In addition to providing an overview and analysis of the specific machine learning projects scoped and explored, this presentation includes a number of high-level take-aways and recommendations designed to influence and inform the Library of Congress's machine learning efforts going forward.
Digital Libraries, Intelligent Data Analytics, And Augmented Description: A Demonstration Project, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
Digital Libraries, Intelligent Data Analytics, And Augmented Description: A Demonstration Project, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
UNL Libraries: Faculty Publications
From July 16-to November 8, 2019, the Aida digital libraries research team at the University of Nebraska-Lincoln collaborated with the Library of Congress on “Digital Libraries, Intelligent Data Analytics, and Augmented Description: A Demonstration Project.“ This demonstration project sought to (1) develop and investigate the viability and feasibility of textual and image-based data analytics approaches to support and facilitate discovery; (2) understand technical tools and requirements for the Library of Congress to improve access and discovery of its digital collections; and (3) enable the Library of Congress to plan for future possibilities. In pursuit of these goals, we focused our …
Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
Virtual Wrap-Up Presentation: Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
CSE Conference and Workshop Papers
Includes framing, overview, and discussion of the explorations pursued as part of the Digital Libraries, Intelligent Data Analytics, and Augmented Description demonstration project, pursued by members of the Aida digital libraries research team at the University of Nebraska-Lincoln through a research services contract with the Library of Congress. This presentation covered: Aida research team and background for the demonstration project; broad outlines of “Digital Libraries, Intelligent Data Analytics, and Augmented Description”; what changed for us as a research team over the collaboration and why; deliverables of our work; thoughts toward “What next”; and deep-dives into the explorations. The machine learning …
Document Images And Machine Learning: A Collaboratory Between The Library Of Congress And The Image Analysis For Archival Discovery (Aida) Lab At The University Of Nebraska, Lincoln, Ne, Yi Liu, Chulwoo Pack, Leen-Kiat Soh, Elizabeth Lorang
Document Images And Machine Learning: A Collaboratory Between The Library Of Congress And The Image Analysis For Archival Discovery (Aida) Lab At The University Of Nebraska, Lincoln, Ne, Yi Liu, Chulwoo Pack, Leen-Kiat Soh, Elizabeth Lorang
CSE Conference and Workshop Papers
This presentation summarized and presented preliminary results from the first weeks of work conducted by the Aida research team in response to Library of Congress funding notice ID 030ADV19Q0274, “The Library of Congress – Pre-processing Pilot.” It includes overviews of projects on historic document segmentation, document classification, document quality assessment, figure and graph extraction from historic documents, text-line extraction from figures, subject and objective quality assesments, and digitization type differentiation.
Application Of The Image Analysis For Archival Discovery Team’S First- Generation Methods And Software To The Burney Collection Of British Newspapers, Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, Yi Liu, Delaram Rahimighazikalayeh, John O'Brien
Application Of The Image Analysis For Archival Discovery Team’S First- Generation Methods And Software To The Burney Collection Of British Newspapers, Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, Yi Liu, Delaram Rahimighazikalayeh, John O'Brien
CDRH Grant Reports
The current study, “Application of the Image Analysis for Archival Discovery Team’s First- Generation Methods and Software to the Burney Collection of British Newspapers,” is the first test of our approaches—methods and software—to a different newspaper corpus, specifically the 17th and 18 Century Burney Newspapers Collection. This study stands as the first complete attempt at applying Aida’s software and methods to non-Chronicling America newspapers, as a step toward understanding the potential of our approaches across digitized historic newspapers. In taking this step, our goals were (1) to test how well the software and a classifier model developed on Chronicling America …
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, March 2019, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, March 2019, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
CDRH Grant Reports
The primary goal of "Extending Intelligent Computational Image Analysis for Archival Discovery" is to investigate the use of image analysis as a methodology for content identification, description, and information retrieval in digital libraries and other digitized collections. Building on work started under a National Endowment for the Humanities' Office of Digital Humanities Start-up Grant, our IMLS project seeks to 1) analyze and verify our previously developed image analysis approach and extend it so that it is newspaper agnostic, type agnostic, and language agnostic; 2) scale and revise the intelligent image analysis approach and determine the ideal balance between precision and …
Work-In-Progress Reports Submitted To The Library Of Congress As Part Of Digital Libraries, Intelligent Data Analytics, And Augmented Description, Chulwoo Pack, Yi Liu, Leen-Kiat Soh, Elizabeth Lorang
Work-In-Progress Reports Submitted To The Library Of Congress As Part Of Digital Libraries, Intelligent Data Analytics, And Augmented Description, Chulwoo Pack, Yi Liu, Leen-Kiat Soh, Elizabeth Lorang
CSE Technical Reports
This document includes work-in-progress reports submitted to the Library of Congress as part of the Aida digital libraries research team's work on Digital Libraries, Intelligent Data Analytics, and Augmented Description: A Demonstration Project. These work-in-progress reports provide a snapshot glimpse, as well as underlying rationale and decision-making, at various points in the development of the project and its machine learning explorations. Reports cover explorations on historic newspapers, minimally-processed manuscript collections, materials digitized from physical originals and those digitized from microform surrogates, and investigate challenges related to image segmentation and document zoning, classification, document image quality analysis, metadata generation, and more.
Using Chronicling America’S Images To Explore Digitized Historic Newspapers & Imagine Alternative Futures, Elizabeth Lorang, Leen-Kiat Soh
Using Chronicling America’S Images To Explore Digitized Historic Newspapers & Imagine Alternative Futures, Elizabeth Lorang, Leen-Kiat Soh
University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches
This presentation situates the work of the Aida team broadly as well as hinges this work on some very specific challenges for digital libraries. In doing so demonstrate the many types of questions and domains to be explored in digitized newspapers.
Patterns, Collaboration, Practice: Algorithms As Editing For Historic Periodicals, Elizabeth Lorang
Patterns, Collaboration, Practice: Algorithms As Editing For Historic Periodicals, Elizabeth Lorang
University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches
This presentation positions my recent work on the algorithmic “discovery” of poetic material in historic newspapers within the contexts of my various roles as an editor of periodical literature and also consider how duplicative processes and algorithms encode principles and values and function as editorial acts. Ultimately, I hope to pose a range of questions to prompt discussion around the place (or not) of machine learning in identifying and selecting texts and bodies of work; what ideas we’re actually exploring/are able to explore when we enlist technology in stages of this work; and the stakes of these activities, whether human …
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, February 2018, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
Interim Performance Report, Lg‐71‐16‐0152‐16, Extending Intelligent Computational Image Analysis For Archival Discovery, February 2018, Elizabeth Lorang, Leen-Kiat Soh, John O'Brien
CDRH Grant Reports
No abstract provided.
Increasing Our Vision For 21st-Century Digital Libraries, Elizabeth M. Lorang, Leen-Kiat Soh
Increasing Our Vision For 21st-Century Digital Libraries, Elizabeth M. Lorang, Leen-Kiat Soh
University of Nebraska-Lincoln Libraries: Conference Presentations and Speeches
This presentation
- Reads digital library interfaces—or their "main door" interfaces—as glimpses into what we have thus far valued in the development of digital libraries
- Frames a visual way of thinking about textual materials
- Introduces the work of our research team—where we are now, and where we're headed
- Draws some connections between the parts
This presentation is very much a look into thinking in process and work in progress and proposes the following ideas:
- As a community, we can do much more with the digital images we're creating of textual materials than we've heretofore done.
- We aspire to have additional layers …
White Paper, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
White Paper, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
CDRH Grant Reports
With its Office of Digital Humanities Start-up Grant, the Image Analysis for Archival Discovery (Aida) team set out to further develop image analysis as a methodology for the identification and retrieval of items of relevance within digitized collections of historic materials.1 Specifically, we sought to identify poetic content within historic newspapers, using Chronicling America's newspapers (http://chroniclingamerica.loc.gov/) as our test case. The project activities we undertook—both those completed and those in process—support this goal and align well with the activities proposed in our original funding application and as approved by NEH. To achieve our goal of creating an image processing-based system …
Final Report, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
Final Report, Hd-51897-14, Image Analysis For Archival Discovery (Aida), October 2016, Elizabeth M. Lorang, Leen-Kiat Soh
CDRH Grant Reports
With its Office of Digital Humanities Start-up Grant, the Image Analysis for Archival Discovery (Aida) team set out to further develop image analysis as a methodology for the identification and retrieval of items of relevance within digitized collections of historic materials. Specifically, we sought to identify poetic content within historic newspapers, using Chronicling America's newspapers (http://chroniclingamerica.loc.gov/) as our test case. The project activities we undertook—both those completed and those in process—support this goal and align well with the activities proposed in our original funding application and as approved by NEH. To achieve our goal of creating an image processing-based system …
Developing An Image-Based Classifier For Detecting Poetic Content In Historic Newspaper Collections, Elizabeth M. Lorang, Leen-Kiat Soh, Maanas Varma Datla, Spencer Kulwicki
Developing An Image-Based Classifier For Detecting Poetic Content In Historic Newspaper Collections, Elizabeth M. Lorang, Leen-Kiat Soh, Maanas Varma Datla, Spencer Kulwicki
UNL Libraries: Faculty Publications
"Developing an Image-Based Classifier for Detecting Poetic Content in Historic Newspaper Collections" details and analyzes the first stage of work of the Image Analysis for Archival Discovery project team. Our team is is investigating the use of image analysis to identify poetic content in historic newspapers. The project seeks both to augment the study of literary history by drawing attention to the magnitude of poetry published in newspapers and by making the poetry more readily available for study, as well as to advance work on the use of digital images in facilitating discovery in digital libraries and other digitized collections. …
Mets For The Cultural Heritage Community: A Literature Review, Sharon Cheslow
Mets For The Cultural Heritage Community: A Literature Review, Sharon Cheslow
Library Philosophy and Practice (e-journal)
METS (Metadata Encoding and Transmission Standard) is an XML-based, data communication standard used for digital collections in cultural heritage institutions, including libraries, archives, and museums, and maintained by the Library of Congress. Recent articles have been written for those in the cultural heritage community who may find METS beneficial. Even so, the uses of METS are still being discovered in terms of best practices and interoperability. One of the main issues with METS is how it can be used with external schemas such as MODS, PREMIS, or Dublin Core. This paper includes a brief description of METS as a wrapper …
Managing Metadata Interoperability Within Audio Preservation Framework: Integrating The Metadata Encoding & Transmission Standard (Mets) And Multichannel Source Material Into Digital Library Audio Collections, Darnelle O. Melvin
Library Philosophy and Practice (e-journal)
This study investigates the management and interoperability of metadata within audio preservation frameworks. With the intention to harvest all descriptors contained in multichannel audio material semantically linked to bibliographic records, authority files, and other associated digital objects; the researcher attempt to incorporate XML, Dublin Core syntax, and the Metadata Encoding & Transmission Standard as a digital carrier to express stereophonic, multichannel source material, and related objects into a digital library audio collection.