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- W4367310381 abstract "The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) data catalog 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." @default.
- W4367310381 created "2023-04-29" @default.
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- W4367310381 date "2023-04-30" @default.
- W4367310381 modified "2023-10-17" @default.
- W4367310381 title "NASA Science Mission Directorate Knowledge Graph Discovery" @default.
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- W4367310381 doi "https://doi.org/10.1145/3543873.3587585" @default.
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