Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog

Bugbee, Kaylin; Ramachandran, Rahul; Acharya, Ashish; That, Dai Hai Ton; Hedman, John; Eleish, Ahmed; Driessnack, Charles; Adams, Wesley; Foshee, Emily

doi:10.1109/igarss46834.2022.9884711

Cited by 2 publications

(4 citation statements)

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“…Yake! is an unsupervised automatic keyword algorithm that returns a list of keywords and a corresponding quantitative score indicating the relevance of each keyword 5 . Examples of keywords extracted with Yake!…”

Section: Extractionmentioning

confidence: 99%

“…By 2023, the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) foresees the generation of at least 400 petabytes per year and expects this number to increase as new models are run, and new missions are launched [10]. NASA has expressed the need for a search engine that enables scientists to search across the five NASA SMD scientific pursuits and allows them to discover new connections [5,11].…”

Section: Introductionmentioning

confidence: 99%

“…Link to Yake! : https://github.com/LIAAD/yake5 The Yake! keyword is more relevant with a lower score 6.…”

mentioning

confidence: 99%

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NASA Science Mission Directorate Knowledge Graph Discovery

Timmer¹,

Khoo²,

Mark³

et al. 2023

Preprint

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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. CCS CONCEPTS• Information systems → Content analysis and feature selection; Language models.

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Section: Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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NASA Science Mission Directorate Knowledge Graph Discovery

Timmer¹,

Khoo²,

Mark³

et al. 2023

Preprint

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“…Integrating information across multiple domains and organizations to enable data discovery is a challenging task [5].…”

Section: Federationmentioning

confidence: 99%

Data Catalogs in the Enterprise: Applications and Integration

Jahnke,

Otto

2023

Datenbank Spektrum

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Despite investing heavily in data-related technology and human resources, enterprises are still struggling to derive value from data. To foster data value creation and move toward a data-driven enterprise, adequate data management and data governance practices are fundamental. To support these practices, organizations are building (meta)data management landscapes by combining different tools. Data catalogs are a central part of these landscapes as they enable an overview of available data assets and their characteristics. To deliver their highest value, data catalogs need to be integrated with existing data sources and other data management tools. However, enterprises struggle with data catalog integration because (a) not all data catalog application types foster enterprise-wide data management and data governance alike, and (b) several technical characteristics of data catalog integration remain unclear. These include the supported data sources, data catalog federation, and ways to provision data access. To tackle these challenges, this paper first develops a typology of data catalog applications in the enterprise context. Based on a review of the academic literature and an analysis of data catalog offerings, it identifies four enterprise-internal and three cross-enterprise classes of data catalog applications. Second, an in-depth analysis of 51 data catalog offerings that foster enterprise-wide metadata management examines key characteristics of the technical integration of data catalogs.

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Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog

Cited by 2 publications

References 1 publication

NASA Science Mission Directorate Knowledge Graph Discovery

NASA Science Mission Directorate Knowledge Graph Discovery

Data Catalogs in the Enterprise: Applications and Integration

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