A Computational Approach to Historical Ontologies
Mat Kelly (1), Jane Greenberg (1), Christopher B. Rauch (1), Sam, Grabus (1), Joan P. Boone (1), John A. Kunze (2), Peter Melville Logan (3), ((1) Drexel University, (2) California Digital Library, (3) Temple, University)
TL;DR
This paper explores using ARK persistent identifiers to enhance the management and computation of historical ontologies within archival science, focusing on temporally aligned vocabularies.
Contribution
It introduces a novel application of ARKs for maintaining and computing historical ontologies, improving archival science methodologies.
Findings
ARKs facilitate better management of historical ontologies
Improved computation with an in-house ontology server
Enhanced temporal alignment of vocabularies
Abstract
This paper presents a use case exploring the application of the Archival Resource Key (ARK) persistent identifier for promoting and maintaining ontologies. In particular, we look at improving computation with an in-house ontology server in the context of temporally aligned vocabularies. This effort demonstrates the utility of ARKs in preparing historical ontologies for computational archival science.
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