Utilizing Ontology Structures To Curate the DOE-NETL Carbon Storage Open Database

The specialized ontology for the Carbon Storage Open Database will enable more rapid assignment of appropriate symbology standards for visualization improvements, optimize topical and spatial tagging within keywords, and improve flexibility for utilization in existing data repositories such as EDX. This effort also aims to establish a foundation for utilization of ontologies for organization of other data related to geologic carbon storage in the future.

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Published
2024-09-22
DOI
https://doi.org/10.2172/2447444
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Utilizing Ontology Structures To Curate the DOE-NETL Carbon Storage Open Database

Kelly Rose, Paige Morkner, Abigail Martin, Michael Sabbatino et al.
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Distributed and Parallel Computing Systems
article

Utilizing Ontology Structures To Curate the DOE-NETL Carbon Storage Open Database

Kelly Rose, Paige Morkner, Abigail Martin, Michael Sabbatino, Jennifer Bauer
article en

Abstract

The specialized ontology for the Carbon Storage Open Database will enable more rapid assignment of appropriate symbology standards for visualization improvements, optimize topical and spatial tagging within keywords, and improve flexibility for utilization in existing data repositories such as EDX. This effort also aims to establish a foundation for utilization of ontologies for organization of other data related to geologic carbon storage in the future.

National Energy Technology Laboratory (US)
U.S. Department of Energy, National Energy Technology Laboratory
Openalex Percentile: Top 82%
Distributed and Parallel Computing Systems
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