A Computational Approach to Historical Ontologies
This paper addresses the problem of maintaining and computing with historical ontologies for computational archival science, offering an incremental solution.
This paper explores the application of Archival Resource Key (ARK) persistent identifiers to promote and maintain ontologies, specifically focusing on improving computation with an in-house ontology server for temporally aligned vocabularies. The work demonstrates the utility of ARKs in preparing historical ontologies for computational archival science.
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.