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.
@article{arxiv.2011.13114,
title = {A Computational Approach to Historical Ontologies},
author = {Mat Kelly and Jane Greenberg and Christopher B. Rauch and Sam Grabus and Joan P. Boone and John A. Kunze and Peter Melville Logan},
journal= {arXiv preprint arXiv:2011.13114},
year = {2021}
}
Comments
6 pages, 5 figures. To be published in Proceedings of the 2020 IEEE International Conference on Big Data (IEEE Big Data 2020)