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Conference proceeding
A Computational Approach to Historical Ontologies
2020 IEEE International Conference on Big Data (Big Data), pp 1878-1883
10 Dec 2020
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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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Details
- Title
- A Computational Approach to Historical Ontologies
- Creators
- Mat Kelly - Drexel UniversityJane Greenberg - Drexel UniversityChristopher B Rauch - Drexel UniversitySam Grabus - Drexel UniversityJoan P Boone - Drexel UniversityJohn A Kunze - California Digital LibraryPeter Melville Logan - Temple University
- Publication Details
- 2020 IEEE International Conference on Big Data (Big Data), pp 1878-1883
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000662554702002
- Scopus ID
- 2-s2.0-85103819833
- Other Identifier
- 991019169903704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods