NASA Science Mission Directorate Knowledge Graph Discovery

The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) is growing exponentially, allowing researchers to make discoveries. However, making discoveries is challenging and time-consuming due to the size of the data catalogs, and as many concepts and data...

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Bibliographic Details
Published in:arXiv.org 2023-03
Main Authors: Timmer, Roelien C, Khoo, Fech Scen, Mark, Megan, Marcella Scoczynski Ribeiro Martins, Berea, Anamaria, Renard, Gregory, Bugbee, Kaylin
Format: Article
Language:English
Subjects:
Aeronautics
Domains
Graphical representations
Knowledge representation
Natural language processing
Search engines
Online Access:Get full text
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Summary:The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) is growing exponentially, allowing researchers to make discoveries. However, making discoveries is challenging and time-consuming due to the size of the data catalogs, and as many concepts and data are indirectly connected. This paper proposes a pipeline to generate knowledge graphs (KGs) representing different NASA SMD domains. These KGs can be used as the basis for dataset search engines, saving researchers time and supporting them in finding new connections. We collected textual data and used several modern natural language processing (NLP) methods to create the nodes and the edges of the KGs. We explore the cross-domain connections, discuss our challenges, and provide future directions to inspire researchers working on similar challenges.
ISSN:2331-8422