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Preservation pipelines demonstrate extended value when digitized content is also computation ready. Expanding this to historical controlled vocabularies published in analog format requires additional steps if they are to be fully leveraged for research. This paper reports on work addressing this challenge. We report on a pipeline and project progress addressing three key goals: 1) transforming the 1910 Library of Congress Subject Headings (LCSH) to the Simple Knowledge Organization System (SKOS) linked data standard, 2) implementing persistent identifiers (PIDs) and launching our prototype ARK resolver, and 3) importing the 1910 LCSH into the Helping Interdisciplinary Vocabulary Engineering (HIVE) System to support automatic metadata generation and scholarly analysis of the historical record. The discussion considers the implications of our work in the broader context of preservation, and the conclusion summarizes our work and identifies next steps.
Scholarly resources, just like any other resources on the web, are subject to reference rot as they frequently disappear or significantly change over time. Digital Object Identifiers (DOIs) are commonplace to persistently identify scholarly resources
The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. The Exa.TrkX tracking pipeline clusters detector measurements to form track candidates and filters them. The pipe
Interdisciplinary research is fundamental when it comes to tackling complex problems in our highly interlinked world, and is on the rise globally. Yet, it is unclear why--in an increasingly competitive academic environment--one should pursue an inter
Performance of the Level-2 pipeline, which translates the UVIT data created by the ISROs ground segment processing systems (Level-1) into astronomer ready scientific data products, is described. This pipeline has evolved significantly from experience
Collaborative work on unstructured or semi-structured documents, such as in literature corpora or source code, often involves agreed upon templates containing metadata. These templates are not consistent across users and over time. Rule-based parsing