A Study to Determine Natural Language Processing Capabilities with NCCF Open Knowledge Mesh (KM/NLP) : A Technical Report Concluding NOAA NESDIS Discoverability Enhancer for Context/Quality of KM Using AI [Deck-AI]

With this study, the Booz Allen team aimed to address these challenges by integrating machine learning, NLP and generative AI techniques into NOAA’s knowledge mesh (KM) framework, Open Information Stewardship Service (OISS).

Publication Details

Journal
National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Published
2025-11-26
DOI
https://doi.org/10.25923/cq5r-q526
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study to Determine Natural Language Processing Capabilities with NCCF Open Knowledge Mesh (KM/NLP) : A Technical Report Concluding NOAA NESDIS Discoverability Enhancer for Context/Quality of KM Using AI [Deck-AI]

National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Explainable Artificial Intelligence (XAI)
article

A Study to Determine Natural Language Processing Capabilities with NCCF Open Knowledge Mesh (KM/NLP) : A Technical Report Concluding NOAA NESDIS Discoverability Enhancer for Context/Quality of KM Using AI [Deck-AI]

article en

Abstract

With this study, the Booz Allen team aimed to address these challenges by integrating machine learning, NLP and generative AI techniques into NOAA’s knowledge mesh (KM) framework, Open Information Stewardship Service (OISS).

National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Quality Education
Openalex Percentile: Top 22%
Explainable Artificial Intelligence (XAI)
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A Study to Determine Natural Language Processing Capabilities with NCCF Open Knowledge Mesh (KM/NLP) : A Technical Report Concluding NOAA NESDIS Discoverability Enhancer for Context/Quality of KM Using AI [Deck-AI] · National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library (2025) | TGRS Research Map | TGRS