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Search Publications by: Benjamin Long (Fed)

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Displaying 1 - 12 of 12

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

August 8, 2023
Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD

The Digital NIST: Challenges And Opportunities in the Digital Transformation of NIST's Reference Materials

March 30, 2023
Author(s)
William Dinis Camara, Steven J. Choquette, Katya Delak, Robert Hanisch, Benjamin Long, Melissa M. Phillips, Jared Ragland, Kate Rimmer
Early in 2022 NIST embarked on a pilot project to produce digital calibration reports and digital certificates of analysis for reference materials. The goal of the project is to produce a few examples of digital reports and certificates for the purpose of

Ballot Definition Common Data Format Specification

January 24, 2023
Author(s)
Benjamin Long, John Dziurlaj
This publication describes a ballot definition common data format for the interchange of logical and physical ballot style information. It contains a UML (Unified Modeling Language) model of the election data and a JSON (JavaScript Object Notation) and XML

Micro Common Data Format Specification

January 23, 2023
Author(s)
Benjamin Long, John Dziurlaj
This specification describes a data format for space-constrained environments, such as the placement of machine readable data on paper. The specification is responsive to a need for interoperability in several key voting system scenarios in which the use

The Digital NIST: Challenges and opportunities in the digital transformation of NIST's calibration services

September 21, 2022
Author(s)
Catherine Cooksey, James A. Fedchak, Robert Hanisch, Gregory (Greg) C. Cala, Damian Lauria, Raymond Plante, Benjamin Long, John S. Quintavalle, Manmohan Moodra
Early in 2022 NIST embarked on a pilot project to produce digital calibration reports and certificates of analysis for reference materials. The goal of the project was to produce a few examples of each for the purpose of assessing the scope and challenges

The Digital NIST: Challenges And Opportunities in the Digital Transformation of NIST's Reference Materials

September 21, 2022
Author(s)
William Dinis Camara, Steven J. Choquette, Katya Delak, Robert Hanisch, Benjamin Long, Melissa M. Phillips, Jared Ragland, Kate Rimmer
Early in 2022 NIST embarked on a pilot project to produce digital calibration reports and digital certificates of analysis for reference materials. The goal of the project is to produce a few examples of digital reports and certificates for the purpose of

Gap Analysis for Key Interoperability Scenarios in Election Technology

August 1, 2022
Author(s)
John Dziurlaj, Benjamin Long
This document describes potential use-cases for data interoperability in election technology components not previously considered in past efforts. Such components include on-demand ballot printing systems, remote ballot marking systems and electronic poll

Recommendations for Voting System Interoperability

August 1, 2022
Author(s)
John Dziurlaj, Benjamin Long
There is currently no common data format for ballot styles and associated use-cases. This white paper investigates this and other potential interoperability gaps within the voting system in a holistic manner, by considering previous voting interoperability

Implementing a Registry Federation for Materials Science Data Discovery

April 13, 2021
Author(s)
Raymond L. Plante, Chandler Becker, Andrea M. Medina-Smith, Kevin G. Brady, Alden A. Dima, Benjamin J. Long, Laura M. Bartolo, Robert Hanisch
As a result of a number of national initiatives, we are seeing rapid growth in the data important to materials science that are available over the web. Consequently, it is becoming increasingly difficult for researchers to learn what data are available and

Versus: A Framework for General Content-Based Comparisons

October 8, 2012
Author(s)
Peter Bajcsy, Antoine Vandecreme, Benjamin J. Long, Paul Khouri Saba, Joe Chalfoun, Luigi Marini, Rob Kooper, Michal Ondrejcek, Kenton McHenry, Smruti Padhy
Versus is a framework for the execution and dissemination of customizable content-based file comparison methods. Given digital objects such as files, database entries, or in-memory data structures, we are interested in establishing their proximity (i.e

Versus: A Framework for General Content-Based Comparisons

December 5, 2011
Author(s)
Peter Bajcsy, Antoine Vandecreme, Benjamin J. Long, Paul Khouri Saba, Joe Chalfoun, Luigi Marini, Devin Bonnie, Rob Kooper, Michal Ondrejcek, Kenton McHenry
Abstract—We present a framework for the execution and dissemination of customizable content-based file comparison methods. Given digital objects such as files, database entries, or in-memory data structures, we are interested in establishing their