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]
-
2025
-
Details
-
Alternative Title:Joint Venture Partnerships - A Study to Determine Natural Language Processing Capabilities with the NCCF Open Knowledge Mesh (KM/NLP)
-
Personal Author:
-
Corporate Authors:
-
NOAA Program & Office:
-
Description: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).
-
Content Notes:This project was funded through the Joint Venture Partnerships Program, Office of Systems Architecture and Engineering (SAE), NOAA/NESDIS.
-
Keywords:
-
DOI:
-
Format:
-
Document Type:
-
Funding:
-
License:
-
Rights Information:CC0 Public Domain
-
Compliance:Submitted
-
Main Document Checksum:urn:sha-512:36bb8181536a1f22f34a3fd7955cd4982626cce00cfd8a2b1869f3932ee89aebce44822c37128c86057a31a141ae181fdf04b5b7d21b628b16176c6c4ec1cb05
-
Download URL:
-
File Type:
ON THIS PAGE
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles,
guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the
NOAA IR retains documents in their original published format to ensure public access to scientific information.
You May Also Like